Veritone Stock price
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Key metrics
📘 Market Capitalization
📈 What is it?
Market capitalization shows how much a company is currently worth on the stock market.
🧮 How is it calculated?
🏛️ Why is it important?
It helps classify companies by size (Large, Mid, Small Cap) and indicates their market presence and relative stability.
🧮 Calculation
🎯 What does this mean for investors?
- Large-cap companies tend to be more stable, often pay dividends, but may grow more slowly.
- Smaller firms may offer higher growth potential but come with more volatility.
- Market capitalization is a useful indicator of company size — but not a measure of whether a stock is undervalued or overvalued.
📘 Enterprise Value (EV)
📈 What is it?
Enterprise Value represents the total cost to acquire a company — including its debt and excluding its cash reserves.
🧮 How is it calculated?
(= Market Cap + Net Debt)
🏛️ Why is it important?
EV gives a more complete picture of a company's value than market cap alone and is used in key valuation ratios like EV/FCF or EV/Sales.
🧮 Calculation
🎯 What does this mean for investors?
- Enterprise Value shows the true cost of buying a company, including all financial obligations.
- It is more accurate than just looking at market cap, especially when comparing companies with different levels of debt or cash.
- Professional investors prefer EV-based multiples because they better reflect the company’s full financial footprint.
📘 Net Debt
📈 What is it?
Net Debt shows how much debt remains after subtracting a company’s available cash reserves.
🧮 How is it calculated?
🏛️ Why is it important?
It indicates how dependent a company is on borrowed money and how easily it can service its debt in the short term.
🧮 Calculation
🎯 What does this mean for investors?
- Low or negative net debt signals financial strength and flexibility.
- Companies with strong cash positions are better positioned in crises.
- High net debt increases financial risk — especially in environments with rising interest rates or economic downturns.
📘 Cash
📈 What is it?
Cash represents all liquid assets a company can access immediately — including cash, bank deposits, and short-term investments.
🧮 How is it calculated?
🏛️ Why is it important?
It reflects a company’s financial flexibility and resilience — enabling investments, buybacks, or buffer in downturns.
🧮 Calculation
🎯 What does this mean for investors?
- A strong cash position means greater room for maneuver and crisis resistance.
- Cash-rich companies can invest, pay down debt, or repurchase shares.
- But excess idle cash might indicate a lack of growth opportunities.
📘 Shares Outstanding
📈 What is it?
Shares outstanding represent the total number of a company’s shares currently held by investors — excluding treasury stock.
🧮 How is it calculated?
🏛️ Why is it important?
It’s the basis for key metrics like Earnings Per Share (EPS), Market Capitalization, or the Price/Earnings ratio (P/E).
🧮 Calculation
🎯 What does this mean for investors?
- Fewer shares in circulation typically increase earnings per share — making each share more valuable.
- Share buybacks reduce the number of shares and boost per-share metrics.
- Issuing new shares does the opposite — diluting shareholder value and lowering per-share figures.
📘 Price-to-Earnings Ratio (P/E)
📈 What is it?
The P/E ratio shows how many times a company's earnings per share are reflected in its current share price — in other words, how "expensive" the stock appears relative to its profits.
🧮 How is it calculated?
🏛️ Why is it important?
The P/E ratio is one of the most widely used valuation metrics. It helps investors assess whether a stock appears cheap or expensive compared to its earnings power.
🧮 Calculation
📊 P/E (TTM) = Based on earnings from the last 12 months (Trailing Twelve Months):🎯 What does this mean for investors?
- A low P/E may indicate undervaluation — or signal underlying issues.
- A high P/E may reflect strong growth expectations — or an overvalued stock.
📘 Price-to-Sales Ratio (P/S)
📈 What is it?
The P/S ratio shows how much investors are paying for $1 of the company’s revenue – regardless of profitability.
🧮 How is it calculated?
🏛️ Why is it important?
P/S is especially useful for evaluating growth companies or businesses not yet profitable. It reflects how the market values the company’s sales.
🧮 Calculation
Market Cap = $119.54m | Revenue (TTM) = $87.75m
Market Cap = $119.54m | Estimated Revenue = $107.55m
🎯 What does this mean for investors?
- A low P/S may indicate undervaluation — or low profitability.
- A high P/S can reflect strong growth expectations — or excessive optimism.
- Especially helpful when evaluating companies where profits are low, volatile, or negative.
📘 Enterprise Value to Sales (EV/Sales)
📈 What is it?
EV/Sales shows how much investors are paying for $1 of revenue — considering not just equity, but also debt and cash. It’s the capital structure–adjusted version of the P/S ratio.
🧮 How is it calculated?
🏛️ Why is it important?
It’s ideal for comparing companies with different levels of debt. It reflects a company's true cost relative to its revenue.
🧮 Calculation
Enterprise Value = $152.58m | Revenue (TTM) = $87.75m
Enterprise Value = $152.58m | Forward Revenue = $107.55m
🎯 What does this mean for investors?
- EV/Sales allows for capital structure–neutral company comparisons.
- A lower ratio may indicate undervaluation; a higher one may signal strong growth expectations or overvaluation.
- Especially helpful when evaluating high-growth companies with low or negative earnings.
📘 Enterprise Value to Free Cash Flow (EV/FCF)
📈 What is it?
EV/FCF shows how many years it would take for a company to "pay back" its enterprise value using its free cash flow.
🧮 How is it calculated?
🏛️ Why is it important?
It focuses on real cash generation, ignoring accounting noise — ideal for assessing profitability and value based on liquidity, not earnings.
🧮 Calculation
🎯 What does this mean for investors?
- A low EV/FCF may signal undervaluation and strong cash generation.
- A high EV/FCF might reflect weak recent cash flow or aggressive growth expectations.
- Best suited for stable, mature businesses with predictable free cash flows.
📘 Price-to-Book Ratio (P/B)
📈 What is it?
The P/B ratio compares a company’s market value to its book value — showing how much investors are paying for each dollar of net assets.
🧮 How is it calculated?
🏛️ Why is it important?
P/B is commonly used for asset-heavy industries like banks or industrials. It helps assess whether a stock is trading above or below its net asset value.
🧮 Calculation
🎯 What does this mean for investors?
- A P/B below 1 may signal undervaluation — or weak profitability.
- A P/B above 1 implies the market expects future value creation (e.g., brand, IP, growth).
- Best used for companies with tangible assets and strong balance sheets.
📘 Equity Ratio
📈 What is it?
The equity ratio indicates what portion of a company’s total assets is financed by shareholders’ equity – in other words, how much it relies on its own capital.
🧮 How is it calculated?
🏛️ Why is it important?
A high equity ratio reflects financial strength and stability, especially during downturns. It’s a key indicator of a company’s solvency and long-term risk profile.
🧮 Calculation
🎯 What does this mean for investors?
- Companies with high equity ratios are generally more resilient and less dependent on external debt.
- Low equity ratios can signal higher risk or aggressive financial strategies.
- Important: Always assess the equity ratio in combination with the return on equity (ROE). This shows not just how stable the company is – but also how efficiently it uses shareholder capital.
📘 Return on Equity (ROE)
📈 What is it?
Return on equity (ROE) shows how efficiently a company uses its shareholders’ equity to generate profit. In other words: how much net income is earned per dollar of equity.
🧮 How is it calculated?
🏛️ Why is it important?
ROE is a core profitability metric. It helps investors understand whether a company delivers attractive returns on the capital provided by its shareholders.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROE indicates that the company is using its capital efficiently and profitably.
- It’s especially meaningful for capital-intensive businesses or firms with high equity bases.
- Important: A very high ROE can also result from high debt levels – always interpret it alongside the equity ratio to assess financial health.
📘 Return on Capital Employed (ROCE)
📈 What is it?
ROCE measures how efficiently a company generates profits from its total capital – including both equity and interest-bearing debt.
🧮 How is it calculated?
It evaluates the return on all capital employed, regardless of how it’s financed.
🏛️ Why is it important?
ROCE is ideal for comparing companies with different financing structures. It shows how well management uses capital to create value for both shareholders and creditors.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROCE means the company uses its capital efficiently – regardless of whether it's funded by debt or equity.
- The higher the ROCE compared to peers, the more value the company creates with its invested capital.
- Especially relevant for capital-intensive sectors like industrials, energy, or infrastructure.
📘 Return on Invested Capital (ROIC)
📈 What is it?
ROIC measures how efficiently a company generates returns from the capital invested in its core operations – regardless of whether the capital comes from equity or debt.
🧮 How is it calculated?
- NOPAT = Net Operating Profit After Taxes
- Invested Capital = Operating assets minus non-interest-bearing liabilities
🏛️ Why is it important?
ROIC is one of the most accurate indicators of capital efficiency. Unlike return on equity, it is not distorted by leverage and shows how much value is created for all capital providers.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROIC shows how effectively a company uses the capital that is truly invested in its core operations.
- Unlike ROCE, ROIC focuses only on the capital that is actively used to run the business – and that requires a return (i.e. interest-bearing).
- Especially useful when comparing companies with large amounts of excess cash or non-interest-bearing liabilities – giving a more realistic picture of capital efficiency.
📘 Leverage Ratio (Debt-to-Equity)
📈 What is it?
The leverage ratio indicates how much a company relies on interest-bearing debt (such as loans and bonds) relative to its shareholders’ equity.
🧮 How is it calculated?
🏛️ Why is it important?
This ratio helps assess a company’s financial structure and risk profile. High leverage can enhance returns – but also increases exposure to interest rate changes and financial stress.
🧮 Calculation
🎯 What does this mean for investors?
- A low leverage ratio signals financial strength and independence.
- A higher ratio can improve returns in good times but increases risk during downturns or rising interest rate periods.
- 👉 Always interpret in the context of industry, capital intensity, and interest rate environment.
📘 Revenue
📈 What is it?
Revenue shows how much a company earns in total from selling its products and services – the gross income before any costs are deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Revenue is one of the key figures to assess a company’s size, market position, and growth potential.
🧮 Calculation
🎯 What does this mean for investors?
- Growing revenue indicates rising demand and can be an early signal of future earnings growth.
- Comparing actual and expected revenue reveals trends in the market environment and analyst sentiment.
- Note: Strong revenue alone isn’t enough – margins and profitability matter just as much.
📘 EBITDA
📈 What is it?
EBITDA stands for “Earnings Before Interest, Taxes, Depreciation, and Amortization.” It reflects a company’s operating profit before the effects of financing, taxes, and accounting depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
EBITDA is widely used to evaluate a company’s operating performance – especially across capital-intensive sectors or international comparisons.
🧮 Calculation
🎯 What does this mean for investors?
- A high or growing EBITDA indicates strong operational profitability – independent of taxes, interest, or accounting methods.
- It’s especially useful for comparing companies across sectors or geographies.
- Important: EBITDA is not a net income figure – it excludes key costs like depreciation and interest.
📘 EBIT
📈 What is it?
EBIT stands for “Earnings Before Interest and Taxes.” It reflects a company’s operating profit after depreciation, but before interest and tax expenses.
🧮 How is it calculated?
🏛️ Why is it important?
EBIT is a core profitability metric that shows how well the company performs in its main business operations – independent of capital structure and tax environment.
🧮 Calculation
🎯 What does this mean for investors?
- A high EBIT indicates strong profitability from the company’s core business – before financial and tax effects.
- It allows better comparison between companies with different debt levels or tax structures.
- Compared to EBITDA, EBIT already accounts for depreciation and reflects capital intensity more clearly.
📘 Net Income
📈 What is it?
Net income is the company’s total profit – the amount left after all expenses, taxes, interest, and depreciation have been deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Net income is the most comprehensive measure of a company’s profitability – showing how much actual profit remains after all business and financing costs.
🧮 Calculation
🎯 What does this mean for investors?
- Growing net income indicates that the company is managing all of its costs efficiently.
- It directly influences valuation metrics like P/E ratio and the company’s dividend capacity.
- Over time, net income trends reveal how resilient and profitable the business model really is.
📘 Free Cash Flow (FCF)
📈 What is it?
Free Cash Flow shows how much actual cash remains after a company covers its operating expenses and capital expenditures.
🧮 How is it calculated?
🏛️ Why is it important?
FCF reflects a company’s real financial strength – regardless of accounting profits. It shows how much flexibility a company has for dividends, share buybacks, or debt reduction.
🧮 Calculation
🎯 What does this mean for investors?
- High free cash flow means the company generates real, usable cash – independent of reported net income.
- It’s often the most reliable base for sustainable dividends and buybacks.
- Declining FCF can be an early warning sign – even when profits appear stable.
📘 Revenue Growth
📈 What is it?
Revenue growth shows how much a company’s sales have changed compared to the previous year – both on a trailing basis (TTM) and based on forward projections.
🧮 How is it calculated?
Forward = (Expected revenue ÷ Revenue in prior year − 1) × 100
Forward growth is based on analyst estimates for the current fiscal year.
🏛️ Why is it important?
Rising revenue signals growing demand, business expansion, and market share gains – especially important for growth-oriented companies.
🧮 Calculation
🎯 What does this mean for investors?
- Growth is the engine of long-term value creation – especially in tech and growth sectors.
- What matters is not just current growth, but its sustainability.
- Forward projections reflect whether analysts expect continued momentum – or a slowdown.
📘 EBITDA Growth
📈 What is it?
EBITDA growth shows how much a company’s operating profit (before interest, taxes, depreciation, and amortization) has increased or decreased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBITDA ÷ EBITDA from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
Growing EBITDA indicates improving operational profitability – regardless of financing or accounting effects.
🧮 Calculation
🎯 What does this mean for investors?
- Strong EBITDA growth signals operational efficiency and scalability – especially during growth phases.
- EBITDA growth can be an early indicator of margin and earnings expansion – but should be assessed alongside revenue and EBIT.
📘 EBIT Growth
📈 What is it?
EBIT growth shows how much a company’s operating profit (after depreciation, but before interest and taxes) has increased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBIT ÷ EBIT from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
EBIT growth is a direct indicator of a company’s business performance – taking into account capital intensity through depreciation.
🧮 Calculation
🎯 What does this mean for investors?
- Rising EBIT signals improving operating profitability – even after accounting for depreciation.
- It’s especially important for evaluating companies with significant capital expenditures.
- Combined with revenue and EBITDA growth, EBIT growth provides a well-rounded view of operational progress.
📘 Net Income Growth
📈 What is it?
Net income growth shows how much a company’s bottom-line profit has increased or decreased compared to the previous year – both on a trailing basis (TTM) and based on analyst projections.
🧮 How is it calculated?
Forward = (Expected net income ÷ Net income from prior year − 1) × 100
The forward estimate reflects analysts’ expectations for the current fiscal year.
🏛️ Why is it important?
Net income is the ultimate measure of profitability. Growing net income signals stronger efficiency, cost control, and sustainable earnings power.
🧮 Calculation
🎯 What does this mean for investors?
- Stronger net income boosts valuation, dividend potential, and investor confidence.
- If profits stall while revenue grows, it may signal margin pressure.
📘 Free Cash Flow Growth
📈 What is it?
Free cash flow (FCF) growth shows how a company’s available cash – after covering operating expenses and capital expenditures – has changed compared to the previous year.
🧮 How is it calculated?
🏛️ Why is it important?
Free cash flow reflects real financial strength. Growing FCF indicates more flexibility for dividends, share buybacks, and reinvestment.
🧮 Calculation
🎯 What does this mean for investors?
- Declining FCF may point to rising investments, increasing costs, or weaker operating performance.
- Especially for dividend investors, FCF growth is critical – since dividends are paid from actual available cash.
- A negative trend isn't always bad, but it deserves closer attention.
📘 Gross Margin
📈 What is it?
Gross margin shows how much of a company’s revenue remains after deducting the direct costs of goods sold (like materials and production). It represents the company’s “raw profit” before fixed costs, taxes, and interest.
🧮 How is it calculated?
Or simply: Gross Margin = Gross Profit ÷ Revenue × 100
🏛️ Why is it important?
Gross margin indicates how efficiently a company can produce or procure what it sells. It is a key measure of product-level profitability and pricing power.
🧮 Calculation
🎯 What does this mean for investors?
- A high gross margin suggests strong pricing power and efficient production.
- Falling margins may signal rising input costs or competitive pressure.
- Compared to peers, gross margin offers insights into the quality of a business model.
📘 EBITDA Margin
📈 What is it?
The EBITDA margin shows how much of a company’s revenue remains as operating profit before interest, taxes, depreciation, and amortization.It reflects operating efficiency without being distorted by financing or accounting factors.
🧮 How is it calculated?
🏛️ Why is it important?
The EBITDA margin reveals how much operating income a company generates per dollar of revenue – independent of capital structure and tax effects.
🧮 Calculation
🎯 What does this mean for investors?
- A high EBITDA margin reflects strong core profitability – before accounting distortions.
- It allows for effective comparisons across companies and sectors.
- A stable or growing margin signals efficient cost control and business scalability.
📘 EBIT Margin
📈 What is it?
The EBIT margin shows what percentage of revenue remains as operating profit after depreciation but before interest and taxes.
🧮 How is it calculated?
🏛️ Why is it important?
The EBIT margin reflects a company’s core profitability while accounting for capital intensity (e.g. machinery, infrastructure). It’s especially useful for comparing businesses with different levels of depreciation.
🧮 Calculation
🎯 What does this mean for investors?
- A high EBIT margin shows that the company remains efficient even after factoring in depreciation.
- It’s especially relevant for capital-intensive industries.
- Stable or rising EBIT margins over time are a strong indicator of pricing power and business quality.
📘 Net Margin
📈 What is it?
Net margin shows how much of a company’s revenue remains as bottom-line profit after deducting all costs, interest, taxes, and depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
Net margin reflects a company’s overall efficiency – across operations, financing, and taxation. It shows how much actual profit is generated from each dollar of revenue.
🧮 Calculation
🎯 What does this mean for investors?
- A high net margin means the company is not only strong operationally but also manages financing and taxes efficiently.
- Peer comparisons reveal business quality and competitiveness.
- Declining margins despite revenue growth can be a red flag for rising costs or inefficiencies.
📘 Free cash flow margin
📈 What is it?
The free cash flow (FCF) margin shows how much of a company’s revenue remains as actual free cash after covering all operating expenses and capital expenditures.
🧮 How is it calculated?
🏛️ Why is it important?
This margin reflects the true liquidity generated by the business – independent of accounting rules or depreciation. It’s especially relevant for dividends, buybacks, and reinvestment decisions.
🧮 Calculation
🎯 What does this mean for investors?
- A high FCF margin means a company consistently generates strong cash flow.
- It’s a positive signal for financial stability and shareholder returns.
- The long-term trend is key – a declining margin may indicate rising investments or weakening operating efficiency.
📘 Earnings per share (EPS)
📈 What is it?
Earnings per Share (EPS) shows how much profit is attributable to a single share – and is one of the most important metrics for evaluating a company's performance.
🧮 How is it calculated?
The diluted share count reflects potential new shares that could be issued through options, convertible bonds, or other rights.
🏛️ Why is it important?
EPS is the basis for many key valuation metrics like P/E ratio, PEG ratio, or payout ratio. It enables comparisons of profitability across companies, regardless of their size.
🧮 Calculation
🎯 What does this mean for investors?
- EPS captures per-share profitability and is especially useful for comparisons over time or with analyst estimates.
- Rising EPS may signal consistent growth or share buybacks.
- Important: Always use diluted EPS for more realistic valuations – especially in companies with stock-based compensation.
📘 Free cash flow per share (FCF per share)
📈 What is it?
Free Cash Flow per Share shows how much free cash flow a company generates per outstanding share – after investments, but before dividends or debt repayments.
🧮 How is it calculated?
Free cash flow is calculated as operating cash flow minus capital expenditures (CapEx).
🏛️ Why is it important?
FCF per Share reveals how much real cash is available per share – useful for dividends, buybacks, or reducing debt. Unlike net income, free cash flow is harder to manipulate and often seen as a more reliable metric.
🧮 Calculation
🎯 What does this mean for investors?
- High FCF per share signals strong financial flexibility.
- It shows how much capital the company can effectively reinvest or return to shareholders.
- Particularly relevant for dividend payers and capital-efficient businesses.
📘 Short interest
📈 What is it?
Short interest indicates how many shares of a company are currently sold short – that is, borrowed and sold by investors who expect the price to decline.
🧮 How is it calculated?
It reflects the percentage of a company’s shares that are being shorted relative to the total shares available.
🏛️ Why is it important?
Short interest serves as a sentiment indicator: A high value may signal skepticism or bearish expectations – but also increases the potential for a short squeeze if prices rise unexpectedly.
🧮 Calculation
🎯 What does this mean for investors?
- Low short interest usually indicates market confidence in the company.
- High short interest can be a warning sign – or an opportunity if sentiment shifts.
- Especially relevant in volatile markets or ahead of key earnings releases.
📘 Employees
📈 What is it?
The employee count shows how many people a company employs worldwide – offering insights into its size, structure, and business model.
🧮 How is it calculated?
🏛️ Why is it important?
It helps assess operational scale, labor intensity, and cost structure. Combined with revenue and profit, it enables key metrics like revenue per employee or productivity.
🧮 Calculation
🎯 What does this mean for investors?
- A high headcount can signal operational complexity – but also significant growth capacity.
- Revenue per employee is a key indicator of efficiency.
- Especially useful for comparing tech, industrial, or service-heavy companies.
📘 Revenue per employee
📈 What is it?
Revenue per employee indicates how much revenue a company generates on average per employee – a key measure of efficiency and productivity.
🧮 How is it calculated?
The employee count is typically taken from the most recent annual report.
🏛️ Why is it important?
This metric helps compare business models – especially between labor-intensive and technology-driven companies. A high value suggests automation, operational efficiency, or strong value creation per head.
🧮 Calculation
🎯 What does this mean for investors?
- A high revenue per employee indicates a scalable and margin-strong business model.
- A low figure may reflect labor-intensive operations or lower value-add.
- Especially helpful when comparing tech companies to industrial or service sectors.
Veritone Stock Analysis
Analyst Opinions
11 Analysts have issued a Veritone forecast:
Analyst Opinions
11 Analysts have issued a Veritone forecast:
Veritone Events
Past Events
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AUG
13
Q2 2026 Earnings Call
about 2 months ago
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JUL
7
Special Call - Veritone, Inc.
3 months ago
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MAY
12
Q1 2026 Earnings Call
5 months ago
|
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MAR
26
Q4 2025 Earnings Call
6 months ago
|
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DEC
1
Special Call - Veritone, Inc.
10 months ago
|
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NOV
6
Q3 2025 Earnings Call
11 months ago
|
StocksGuide Free
Veritone — Q2 2026 Earnings Call
1. Management Discussion
Good day, and welcome to the Veritone Second Quarter 2026 Earnings Conference Call. [Operator Instructions] Please note, this event is being recorded.
I would now like to turn the conference over to Cate Goldsmith, Investor Relations. Please go ahead.
Thank you, and good afternoon. After the market closed today, Veritone issued a press release announcing results for the second quarter ended June 30, 2026. The press release and other supplemental information are available on the Investor Relations section of Veritone's website. Joining us for today's call are Veritone's President and Chief Executive Officer, Ryan Steelberg; and Chief Financial Officer, Mike Zemetra, who will provide prepared remarks and then open the call for a live question-and-answer session.
Please note that certain information discussed on the call today, including certain answers to your questions, will include forward-looking statements. This includes, without limitation, statements about our business strategy and future financial and operating performance. These forward-looking statements are subject to risks, uncertainties and assumptions that may cause the actual results to differ materially from those stated. Certain of these risks and assumptions are discussed in Veritone's SEC filings, including its annual report on Form 10-K. These forward-looking statements are based on assumptions as of today, August 13, 2026, and Veritone undertakes no obligation to revise or update them.
During this call, the actual and forecasted financial measures we will be discussing include non-GAAP measures. Reconciliations of these measures to the corresponding GAAP measures are included in the press release we issued today. Finally, I would like to remind everyone that the call today is being recorded and will be made available for replay via a link on the Investor Relations section of Veritone's website at www.veritone.com.
Now I would like to turn the call over to our President and Chief Executive Officer, Ryan Steelberg.
Thank you, Cate. Good afternoon, everyone, and thank you for joining us today. During the second quarter, Veritone executed decisively on the strategy and commitments we outlined in May. Our goal was to create measurable and material outcomes, generating material revenue and repeat orders through Veritone Data Refinery, or VDR, expanding customer adoption and restructuring our organization to be more efficient while materially lowering our cost structure. I'm proud to report that we delivered on these fronts, improving our second half visibility and firmly positioning the business for profitable growth.
I would summarize our performance like this. As we sit here in Q3 of 2026, while executing these very material organizational changes and cost-cutting initiatives, we were still able to grow revenues year-over-year and materially from last quarter. Furthermore, compared to this time last year, we have greatly deleveraged the business, substantially increased our pipeline and total addressable market and lowered our operating cost structure.
Regarding our remaining convertible debt, we have been and remain in active discussions with our debt holders about potential restructuring, and we plan to provide more detail in the upcoming weeks and months. In addition to these corporate and fiscal improvements, our talented product and engineering teams also delivered on the production build and launch of multiple new AI products in the second quarter, including Veritone Assess and Document Redaction, with more exciting new product releases slated for the third quarter.
Back to our recent actions. Subsequent to the quarter end, we made substantial progress on the restructuring and cost actions announced earlier this year. These changes, albeit difficult, were necessary. As of today, we have implemented actions that represent approximately $11.3 million in annualized savings, including headcount reductions and lower nonpayroll expenses, towards a projected total of $15 million to $20 million by the end of fiscal year 2026. We expect to continue to identify additional opportunities to improve operating efficiency into next year with a continued effort to realize up to 30% in relative total savings through the first part of 2027.
Importantly, we have been deliberate in where we reduced spending while preserving targeted investments behind our highest-growth opportunities, including VDR and Public Sector. Our actions have focused on eliminating duplicative corporate costs, streamlining the organization and leveraging our own AI technologies to drive greater productivity and operating efficiency across the business. We believe these actions better align our cost structure with our current revenue base while maintaining the resources and capabilities needed to execute against our key growth priorities.
As we mentioned last quarter, we are not waiting for revenue growth to catch up to our cost structure. We are actively improving the operating efficiency of the business, with the goal of achieving breakeven profitability in fiscal year 2027. Today, we are moving rapidly from vision to commercial execution, connecting data owners with AI developers and placing Veritone at the center of the rapidly expanding AI data economy.
We are successfully converting VDR opportunities into large commercial deployments, having closed some of our largest individual deals in the second quarter. This traction came from repeat customers, and we are currently sourcing and prepping data for several strategic clients, most of which operate under active master services agreements. We remain very bullish on VDR and our market positioning in the training data market.
Hyperscalers remain central to this expansion as both foundational clients and high-velocity partners, positioning VDR as a core growth engine for Veritone. We have built the VDR infrastructure and signed the major players. Now is the time to execute and fulfill.
To put the scale opportunity in context, based on the firms already under contract, a single incremental order from one of our signed hyperscalers or foundational model developers can represent millions of dollars of margin in a single quarter. As we discussed last quarter and to continue to support this scale, our migration to Oracle is progressing right on schedule. Initial storage payloads are expected to begin moving in the month, with complete workloads to follow. This transaction is seamlessly enabled by aiWARE's containerized platform-agnostic architecture, which preserves customer flexibility and avoids vendor lock-in. Once relevant payloads are migrated, we expect compute savings of approximately 20% or more.
In addition to our infrastructure build-out with Oracle, we are also escalating our co-selling and marketplace opportunities with Oracle. I recently had the opportunity to speak at their national OCI sales team at their annual kickoff and have been invited to speak at the Oracle AI World 2026 Conference in October. Partners like Oracle, Workday, Carahsoft, Getac and others remain a critical part of our future growth strategies, both domestically and internationally.
In addition to these major global partners, we maintain strategic partnerships with numerous public sector agencies and leaders in the sports, media and entertainment industries. Through these strategic partnerships, co-selling activity is well underway, currently representing over 450 sourced or jointly pursued opportunities and over $9 million in active pipeline. Partners are critical.
Our Commercial Enterprise division delivered another quarter of strong execution, demonstrating scalability and deepening demand for our AI software and data monetization solutions, with 232 agreements executed over the period. One of the clearest examples is within our Content Licensing division, which drove double-digit year-over-year growth in both revenue performance and completed agreements.
Simultaneously, our sales team continued to close strategic software deals, expanding the operational footprint of our AI enterprise platform. By securing and renewing key [ right clear ] partnerships like premier brands like CNN and Sony Pictures Entertainment, Veritone continues to prove its value as an essential software and revenue engine for commercial organizations. Live sports remains the crown jewel of the media ecosystem, and Veritone sits directly at the center of it.
Building on our Q1 momentum, Q2 marked another milestone in our long-standing relationship with Augusta National, which began in 2008. During the Masters, our technology delivered live ingestion, automated AI tagging and agentic metadata workflows to transform tournament coverage into instantly searchable, high-value digital assets in near real time. Extending this momentum across the broader sports ecosystem, we have recently announced a multiyear renewal with a Pac-12 conference as their exclusive global content licensing partner, leveraging our Digital Media Hub to manage and monetize both historical archives and current athletic seasons. By unlocking immediate asset accessibility while preserving strict IP control, Veritone empowers premier rights holders to open new revenue streams and elevate fan engagement as action unfolds.
As global demand for high-quality AI training data reaches an inflection point, we are actively monetizing the AI data economy through our Veritone Data Refinery as we turn massive unstructured video and audio archive in the high-margin, AI-ready assets. We remain consistently and actively engaged with both hyperscalers and frontier labs as a trusted partner of the necessary data to power the AI economy. This underscores the strength of our data pipeline as AI technology and innovation leaders turn to Veritone to fuel their next-generation models.
Looking ahead, we continue to aggressively execute on our strategy to dramatically expand our total addressable market. Leveraging our cloud-native Digital Media Hub, we are taking the enterprise-grade AI architecture we have built for media giants and democratizing it through modular packaging and tier pricing to capture high-margin growth across previously underserved market segments, including mid-market SMBs, marketing agencies and independent creators. We are transforming Veritone from purely an enterprise specialist into a universal software standard for audio and video workflows.
Turning to the public sector. Veritone's AI applications and [ iDEMS ] suites are revolutionizing productivity and efficiency for mission-critical workflows. This quarter, we launched Veritone Document Redaction and Veritone Assess to our product portfolio. Both applications are built on aiWARE and fit seamlessly into the iDEMS suite of solutions that we currently offer.
Document Redaction materially increases our TAM, as all states have requirements for document reduction. We have already closed several deals, and we'll be making Document Redaction available to our existing customers and generally available to all customers this quarter.
Veritone Assess is an agentic AI-powered data analysis solution designed to help public safety agencies rapidly identify inconsistencies, missing information and critical intelligence gaps, hitting within complex unstructured data sets. Assess significantly expands our AI capabilities across investigations, compliance and case analysis while increasing the speed and accuracy of decision-making. It uses cases, including solving crimes, identifying procurement and financial fraud, developing mission plans and applying policies and procedures to processes involving unstructured data.
As we highlighted during our July innovation showcase, we are translating our technology into meaningful real-world impact through our ongoing work with the Cold Case Foundation. Veritone Assess is currently being used on multiple cases, including the JonBenet Ramsey case in Colorado. We believe the public exposure from this work, as well as engagement with the law enforcement agencies where these cases originate, will continue to help accelerate growth across our public safety business.
We also secured a multiyear contract with the California Highway Patrol, or CHP, the largest state police agency in the United States, for Veritone Redact to automate the redaction of sensitive information within digital evidence data sets collected by CHP, significantly accelerating public records processing while protecting citizen privacy. This contract validates a highly scalable, repeatable deployment model for use across a variety of state and local agencies. In fact, the CHP is already evaluating our other iDEMS applications, thereby contributing to the growth of our overall public safety pipeline.
Our broader public safety sales momentum also remains strong. We secured a 5-year agreement with a state agency in Washington and added several new customers that licensed multiple products under multiyear agreements. We also saw a significant increase in partner activity, including new activations and new accounts. We added MCCi and JustFOIA as new channel partners for our redaction solutions, added several new reseller partners and continued to advance our technical integration and co-selling relationship with Getac.
To accelerate adoption across the local agency market, we have established a strategic partnership with Police1 and Lexipol to help agencies identify, pursue and secure grant funding for advanced investigative technologies, reducing a key barrier to procurement. At the federal level, we are demonstrating our leadership in AI infrastructure and government AI initiatives through our partnership and participation in the Genesis Mission Consortium, supporting efforts to accelerate the federal government's AI resources, data sets and high-performance computing capabilities by utilizing aiWARE and our applications.
In addition to supporting our current Department of War agencies, the U.S. Defense Logistics Agency and the U.S. Air Force, we are in the process of expanding our enterprise ATO and application footprint for the Department of Justice by adding Veritone Investigate with Assess to the FedRAMP marketplace. We are also in the final stages of contracting for a border security project that we expect to commence shortly.
Internationally, we recently concluded an agreement with the U.K. Department for Work and Pensions, highlighting our growing global momentum in the public sector. Also, as it relates to the U.K., we have been down selected as part of an exclusive group of technology firms and vendors for a large countrywide procurement framework, which we remain optimistic as we finalize the contract to secure the award and the appointment here shortly. We also have been actively engaged on iDEMS opportunities with law enforcement agencies in the U.K., Canada and Ireland. Our international activity continues to grow as we focus on these important markets.
With the addition of new products, new partners and expanding channel presence, we have significantly increased our addressable market and routes to market. Our applications and iDEMS suites are doing more than improving workflows. They are enabling mission-critical outcomes, improving productivity and efficiency, increasing case closure rates and helping the public sector customers reduce costs. The strong momentum we are seeing across our Public Sector business underscores the critical nature of our offerings, and we look forward to the Public Sector opportunity in the future.
Our Hire division, now officially rebranded as Broadbean by Veritone, delivered a focused and highly productive second quarter. Even as we navigate a selective and challenging macro hiring environment, Broadbean remains a bedrock of high-margin recurring revenue for Veritone. This operational stability is powered by the sheer scale of our global network. Broadbean now manages over 7.6 million jobs annually and generates 132 million candidate engagements, cementing its position as a vital foundational asset within our product portfolio.
On the product innovation front, I'm thrilled to report the successful launch of our Job Acceleration feature on May 11th. While our programmatic advertising campaigns excel at standard budget pacing, shared tool dynamics can sometimes leave urgent or specialized roles underserved. Job Acceleration solves this directly by allowing recruiters to place high-priority roles into a dedicated high-velocity fast lane without altering their main campaign settings.
Market adoption and customer feedback during early rollouts have been exceptional. A key client, SOS Group, highlighted the tool as an absolute game changer, specifically praising its ability to enable their team to respond immediately to sudden spikes in talent demand. By combining dedicated budgets with a friction-free pay-for-performance model, Job Acceleration gives talent acquisition teams instant speed and control a capability we expect will drive meaningful incremental spend across our broader user base.
Our enterprise sales momentum also remained strong in Q2, highlighted by 76 new business wins and key multiyear wins across our global footprint. Our media services revenue delivered exceptional performance, surging by 48% compared to Q1 and reflecting robust demand across our global advertising footprint. Concurrently, our team is executing smoothly on the multi-agency U.K. public sector rollouts announced last quarter, including the flagship to U.K. Department for Work and Pensions implementation.
Finally, as we have stressed above and previously, the importance of our partnership channels are very critical to the business, and I wanted to provide an update on our Tier 1 HCM ecosystem, where we have reached several critical milestones this quarter. SAP PartnerEdge Build program. On May 5, we officially signed as a partner in the SAP PartnerEdge Build program. This creates a direct channel to integrate Broadbean solutions directly in SAP's core talent management ecosystem, establishing a clear pathway to expand our footprint within the Global 2000 brands that rely on SAP daily.
Oracle HCM. We continue to deepen our functional integrations with Oracle HCM, ensuring our global distribution power is seamlessly exposed to their enterprise customer base. We will continue to push into this ever-expanding relationship with Oracle.
Workday. Building our momentum as a Workday Platinum partner, we closed several new -- 7 new Workday deals in Q2, bringing our year-to-date Workday total to $1.3 million across 33 joint wins, keeping us firmly on track towards our full year ecosystem expansion goals. These operational wins, technology launches and strategic alliances collectively signal a pivotal transition for Broadbean by Veritone. We are no longer just a job distribution tool. We have established ourselves as a deeply embedded AI-driven strategic partner, essential to how the world's largest employers source, engage and manage talent.
Looking forward, I'm exceptionally excited about the rapid strides we are making in agentic AI technology and our next-generation product road map for Broadbean. By embedding autonomous capabilities into our core job management architecture and pioneering new enterprise compliance and career sites, we are positioning Broadbean to not only streamline recruitment workflows, but to set the global standard for intelligent compliant talent acquisition in the AI area.
In closing, the investments, as well as the difficult yet disciplined operational decisions we have made over the past several quarters, positioned Veritone to accelerate growth while materially improving our path to profitability through the second half of 2026 and into 2027. Our decisive reorganization and cost cutting will more appropriately align our current revenue base and growth areas, creating a clear path to profitability in 2027.
Now I'll turn the call over to Mike, who will review our financials and business performance in more detail. Mike?
Great. Thank you, Ryan. Overall, revenue was strong in Q2 2026, led by VDR, however, with slightly short of expectations, largely driven by the public sector, where we experienced delayed budgetary shifts in late Q2 2026 from the Department of Defense to move funds over to support the conflict in Iran. As I will explain in more detail later in my prepared remarks, we view this as a temporary shift as the pipeline of projected adoption of our AI platform across the U.S. federal government is forecasted to increase substantially over the next several quarters. And we continue to work directly with the DoD despite the temporary decision to move budget funds to the Iran conflict.
On the operating side of the business, we executed $11.3 million of annualized cost reductions to date or roughly 11% of our annualized cost structure as of June 30, 2026, mostly from headcount reductions and reduced third-party professional and consulting fees. By the end of fiscal 2026, we are targeting up to an additional $3.5 million to $8.5 million of cost reductions to reach up to 20% of annualized cost reductions. As I will explain later in my prepared remarks, none of these reductions were revenue are growth impacting, and we are expected to start showing breakeven results on a non-GAAP basis as early as the first half of 2027 and potentially for the full year fiscal 2027 and modest forecasted revenue growth year-over-year.
During my prepared remarks, I will discuss our Q2 year-over-year performance and KPIs, balance sheet and liquidity position, including our recent cost reductions, and provide updates on our financial progress in Q2 2026 and fiscal 2026 guidance. Now I would like to discuss our Q2 2026 performance in more detail.
Q2 revenue was $24.3 million, up $4 million or 20% sequentially from Q1 2026 and up $1 million or 5% from Q2 2025. The sequential 20% revenue improvement from Q1 2026 was driven by increased VDR and licensing services, which when combined, were up 40% quarter-over-quarter. The improvement over Q2 2025 was driven by our Managed Services, which saw increases in licensing and representation services, while Software Products and Services was relatively flat year-over-year, driven by higher VDR revenue, offset by declines in Veritone Hire in the public sector. Veritone Hire was down year-over-year, principally due to lower consumption-based revenue from one of its largest hiring platforms, driven in part by a continually challenging macro environment across hiring in the quarter, which is expected to continue through the second half of fiscal 2026.
The year-over-year decline in Public Sector was largely due to the delayed contract extension with the DoD, which was entirely driven by temporary budgetary shifts and wartime spending due to the ongoing conflict in Iran. To be clear, this is an active project with the DoD that we have been working on expanding for more than a year. We remain highly engaged with the DoD on next steps and anticipate that funding will be approved as early as the second half of 2026 or first half of 2027, depending on the status of the Iran conflict. As I'll explain later in my prepared remarks, we remain very bullish on our current and future pipeline in the public sector, including expanding further within other critical areas of the U.S. federal government and internationally into Western Europe.
Our Q2 results were also somewhat tempered by the fact that certain transactions with some of our larger hyperscalers for VDR remain under active review, but not fully processed. I would like to remind everyone that we have all the largest hyperscalers under contract, and we currently have a near-term VDR sales pipeline and bookings of over $65 million. In addition, we have an active sales pipeline of more than $15 million, which could all close in Q3 and/or Q4 2026 and includes several deals in the single to high multimillion dollar range. While the timing of these VDR deals is not fully in our control, we remain optimistic on the near- and long-term revenue growth opportunities for VDR.
Turning to the public sector. We are forecasting the public sector to continue to grow throughout fiscal 2026, albeit lower than we had originally expected [ as ] more pronounced growth beginning in fiscal 2027 and expanded rollout of iDEMS across the DoD, including OSI, and other larger international and U.S. federal agencies.
Turning to Q2 Managed Services, which increased $1 million year-over-year, principally as a result of increases in both licensing and representation services. As previously discussed, we are seeing improvements in our representation and licensing services over 2025 and expect this trend to continue throughout the remainder of fiscal 2026.
Turning to key performance metrics across our Software Products and Services in Q2 2026. ARR of $62 million, up slightly from Q2 2025 of $61.9 million, driven by increased consumption-based revenue from onetime software revenue in VDR, offset by a decline in SaaS-based revenue as we made the decision to sunset one of our legacy SaaS products in Q2 2026, which was margin negative since its inception. Overall, ARR and consumption-based customers increased 71% year-over-year, while recurring subscription-based SaaS customers declined 15%.
New bookings of $13.9 million, which were down slightly year-over-year, gross revenue retention continued to be above the 90 percentile, and total Software Product and Service customers of 2,829, down 8% year-over-year, predominantly from our Commercial Enterprise sector, which includes lower consumption-based customers and across Broadbean by Veritone, principally due to macro driven churn from smaller customers as we focus on larger ARR opportunities. As the hiring market continues to be challenged, we expect this trend of smaller ARR customers to continue throughout fiscal 2026.
Q2 GAAP gross profit was $14.2 million compared to $15.7 million in Q2 2025. The decline was primarily driven by the decline in revenue, principally from our hiring products and services. Q2 GAAP gross margin of 58.5% as compared to 67.5% in Q2 2025, a decline of 900 basis points, driven largely by the mix of revenue in each period. Excluding noncash depreciation and amortization expense, Q2 2026 non-GAAP gross margin was 63.7% as compared to 72.6% in Q2 2025, a decline of 890 basis points. Note that we continue to forecast 2026 non-GAAP gross margins to be closer to 60% to 65% throughout the year and will vary depending on the timing and the mix of VDR revenue in a given period.
Q2 operating loss of [ $22 million ] increased by $3.1 million or 16% year-over-year, primarily driven by the $0.7 million decline in non-GAAP gross profit, a $4.5 million increase in onetime severance and transition costs associated with our recently announced restructuring and cost reduction efforts, offset by lower noncash depreciation and amortization and a $1.3 million net decrease in year-over-year operating line item expenses driven by lower personnel costs across G&A and sales and marketing, due in part to headcount efficiencies year-over-year, offset slightly by higher R&D costs as we continue to invest in our future growth.
Net loss was $22.2 million as compared to $26.5 million in Q2 2025, a $4.3 million or 16% year-over-year improvement. Driving this year of improvement was a $3.4 million decline in net interest expense year-over-year as a result of the paydown and retirement of 100% of the company's senior secured debt in November 2025. In addition, the company recorded a onetime noncash loss of $2.9 million in Q2 2025 from a change in the fair value of the company's estimated earnout from the Veritone One sale in October 2024 that did not recur in Q2 2026.
Lastly, income taxes were approximately $1.1 million higher in Q2 2026, primarily due to the timing of certain income tax items. Offsetting this was a decline in operating loss of $3.1 million. Excluding the onetime restructuring charge of $4.5 million, Q2 net loss would have been approximately $17.7 million as compared to $26.5 million and $8.8 million or 33% improvement year-over-year. Overall, non-GAAP net loss was $9.95 million as compared to $8.4 million in Q2 2025. The year-over-year variance was mostly driven by lower non-GAAP gross profit, coupled with a $0.3 million decline in capitalized software in Q2 2026 as compared to Q2 2025.
Turning to our liquidity and balance sheet. As of June 30, 2026, we held cash and restricted cash of $12.7 million as compared to $27.7 million at December 31, 2025. The $15 million net change in cash reflects net cash outflows from operations of $22.1 million, principally driven by our non-GAAP net loss of $21.9 million, and net cash inflows from investing and financing activities of [ $6.9 million ], primarily driven by net cash outflows of $2 million in capital expenditures and $9.4 million in net proceeds raised from our ATM in Q2 2026.
As of June 30, 2026, we settled 5.8 million shares under ATM, raising net proceeds of approximately $9.4 million at an average price of $1.68 per share. Excluding capital raises in the first half of 2026 and 2025, we also improved our net cash outflows by over 27% by $8.8 million year-over-year.
Turning to liquidity today. As of June 30, 2026, we held $12.7 million of cash and restricted cash as compared to $13.8 million as of June 30, 2025. Moreover, all the entirety of [indiscernible] cash is unencumbered and free of any restricted debt covenants, unlike in the prior year, when we had a $15 million minimum cash requirement under our legacy senior secured debt. In addition, we have approximately $45 million of total debt outstanding at June 30, 2026 accruing interest at an annual rate of 1.75% as compared to approximately $130 million at June 30, 2025, a year-over-year improvement of $85 million in debt principal and more than $13 million in reduced annualized debt carry costs. This improved flexibility and stability has strengthened our balance sheet and allows us to focus on reaching our growth potential to meet the hyper growth market opportunities ahead of us.
At June 30, 2026, we had 99.1 million shares issued and outstanding and 2.5 million warrants outstanding to certain legacy term net holders. In late June 2026, we began our operating restructuring efforts with a goal to reduce our current operating expenses up to 30%. In the first phase of this restructuring, which continued through this week, we eliminated 62 full-time employees, which is roughly 14% of our workforce. In addition, we reduced other operating expenses. When combined, we have executed approximately $11.3 million or roughly 11% of our annualized operating expense.
And we're not done. We have plans to further enact an additional $3.5 million to $8.5 million of annualized operating expense reductions under this restructuring effort to reach out to at least $15 million to $20 million of annualized cost reductions by the end of 2026, or up to 20% of our annualized operating expenses. As I will explain further in my prepared remarks, these efforts will ensure we are on target to achieve breakeven profitability with revenue growth at or near $125 million to $130 million of annualized revenue in fiscal year 2025, or approximately 11% year-over-year growth from the high point of our fiscal 2026 guide. This is absolutely achievable given that substantially all of the investments to achieve this targeted revenue growth have already been made.
There will be minimal additional OpEx required to achieve these revenue milestones heading into fiscal 2027. That said, we will continue to be opportunistic, with continued focus to further improve our current liquidity position and balance sheet as well as the previously discussed plan to reduce our consolidated operating expense over the next several months.
As of June 30, 2026, we have over $40 million of availability remaining under our current ATM, and we have been in active discussions with our debt holders on potential structuring going forward, which we plan to update you in more detail in the coming months. Lastly, we are working on multiple strategic funds with some of the largest companies in the world to continue to accelerate our growth across our commercial and public sector services.
Now turning to full year 2026 guidance. As a reminder, we will only be providing financial guidance for the full fiscal year 2026 given the complexity of forecasting the timing of VDR deals, which tend to be larger in dollar values and entirely consumption based, coupled with the complexity of government decision-making, especially during wartime. That said, and as I explained earlier, we are seeing a large backlog of more than $15 million of active VDR deals that all could close in Q3 2026. And we have given a soft range on Q3 2026 revenue to be between $24 million to an excess of $28 million, which at the high point would be a year-over-year improvement of over 5%.
As a backdrop to our annual guide, our Software Products and Services revenue pipeline and long-term outlook continue to be at all-time highs. More specifically, we continue to see strong demand across commercial VDR and the public sector. In 2026, hyperscalers including Google, Amazon, Meta, NVIDIA, which are all current customers, have individually forecasted to spend hundreds of billions of dollars in fiscal 2026 to progress their AI initiatives, including further investments into their large language models. With a global AI training data set market size projected to grow from $4.4 billion in 2026 to $23.2 billion by 2034, we are just in the early phases of AI data modeling.
From a model training perspective, we believe that we continue to be well positioned to exploit this potential revenue opportunity at the forefront of future spending with our VDR solution as the more mature models are now investing heavily in rich video data, where we believe Veritone has a clear competitive advantage. As of today, our near-term sales pipeline of VDR remains over $65 million and continues to grow.
And to be clear, the average deal size is in the $1 million to millions per VDR order. While we do not control the timing, we are active with these hyperscalers on this potential near-term pipeline of $15 million. To address this in 2026, we are focused on the most efficient and cost-effective ways to increase the supply of data. And we will also be investing in the engineering and product around VDR, including Veritone Marketplace, where our aim is to deepen our competitive moat with exclusive access to thousands of more data providers.
As previously discussed, we now have access to content rights holders who control more than 50 million hours of valuable video data, which is vastly significant as compared to the hours we held this time last year. We believe these near-term strategic decisions will enable us to continue to grow VDR revenue in fiscal 2026 and beyond at or above the 23% projected CAGR for spending on large language models through fiscal 2034.
In the public sector, the market TAM for digital evidence management solutions today exceeds north of $10 billion, and it continues to grow at double-digit rates. As discussed earlier, we did experience temporary delays with our current DoD project, in large part due to the reallocation of current fiscal budget towards war efforts in Iran. That said, we are actively in contact with the DoD on this project and are highly optimistic this project will reengage at some point in the second half of 2026 or early in fiscal 2027.
Despite this delay, deal progress in the public sector has been substantial. Specifically, we have been down selected on a multiyear approximate 10-figure [ warmed ] internationally, where we were selected along with a dozen or so other vendors to deploy our iDEMS solution across a major European country. In addition, we should also be announcing another major win to deploy our iDEMS product across another investigative department of the U.S. government, and we are well underway with a third-party hardware provider to jointly deploy our iDEMS solution and capture a larger share of the state and local law enforcement market.
While we cannot quantify the impact of these opportunities given the stage they are in, which will most likely impact fiscal 2027, they could easily double our current public sector pipeline when combined, which today remains north of $200 million. We look forward to providing more details on these opportunities as they mature over the coming months.
With the uncertainty around timing of these potential new partnerships and the budgetary shift in the DoD, we will be revising our financial guidance for the public sector, which is now expected to grow at a more modest rate versus what was expected in the previous quarter. That said, once we begin formally rolling out more [ institute of ] items across the broader DoD, including the previously discussed upcoming deals. We expect that growth rate to be much higher starting in the first half of 2027.
On the OpEx side, the $11.3 million from restructuring and cost reduction efforts will directly benefit the second half of 2026, with a potential for an additional $3.5 million to $8.5 million by year-end. These cost reductions will impact the entire organization, but more pronounced on sales and marketing and general and administrative. As a result, we are expecting the back of 2026 to show declines in sales and marketing and G&A expenses year-over-year, with forecasted spending across these areas as a percentage of total revenue expected to show improvements year-over-year.
We are projecting research and development expenses to be slightly down in the second half as compared to the run rate in Q2 2026. However, we are still continuing to invest in VDR and Public Sector revenue initiatives, including the Veritone Marketplace and brand new software product features and enhancements in 2026 and beyond. With our updated financial guidance, we are projecting operating profitability as early as the first half of fiscal 2027, providing we execute the remainder of our cost reductions by the end of 2026.
The key risks to our revenue projections are the consumption-based nature of VDR, coupled with the timing of government-based contracts and decision-making. As a reminder, over the past 12 months, individual deal sizes for VDR have ranged from the high 6 figures to mid-7 figures. While we feel confident in our sales pipeline for VDR, our visibility into the timing is typically 2 to 3 months in advance of delivery, and decision-making on the nature and volume of content may change depending on the customers' need and anticipated impact on those training models.
More specifically, we are updating our fiscal 2026 guidance to: revenue to be between $100 million to $150 million, which at the midpoint represents a 17% increase year-over-year from fiscal 2025. As discussed, we are expecting the public sector revenue to modestly grow year-over-year and the remaining growth to come from our Commercial Enterprise sector, predominantly from VDR. Our Broadbean by Veritone Hire products and services are included in this growth, and we expect Broadbean by Veritone Hire to be slightly down year-over-year, given the current macroeconomic hiring environment.
Our Managed Services is expected to be up year-over-year by 10% to 15%, principally due to the recent improvements we are seeing on the representation side of our business. We expect gross margins to fluctuate between 60% to 65%, driven by the forecasted mix of revenue in the period, and non-GAAP net loss to be between $22 million and $32 million, which at the midpoint represents a 34% improvement year-over-year as compared to fiscal 2025. The change is reflective of the timing shift in revenue, the previously discussed cost reduction efforts to date, coupled with the compression in gross margins due to the mix of VDR. We believe we are still on track towards profitability but are shifting this to the first half of fiscal 2027. And it's highly dependent on the compounding growth of VDR in the public sector heading into fiscal 2027, coupled with the execution of our remaining cost reductions.
Before closing the call, I'd like to remind everyone listening that Veritone will be in New York City attending the H.C. Wainwright 28th Annual Global Investment Conference taking place September 14 through the 16 at the Lotte New York Palace Hotel in New York City.
That concludes my prepared remarks. Operator, we would like to now open the call for questions.
[Operator Instructions] The first question is from Kevin McVeigh with UBS.
2. Question Answer
Great. Thanks for the context. If you were to look at the adjustments to the revenue guidance, any -- can you help us dimensionalize, like how much of that was VDR relative to -- and I know VDR spans both business segments in terms of Commercial, Hire and things like that. But just help us understand, was that taking all the VDR out? Or is there still some VDR base in the back half of the year?
I would say it comprises the combination of bulk, not removing VDR entirely by no stretch, but bringing down I'd say the contributions or expected contributions from primarily DOW Fed and the elements of VDR. VDR, obviously, we remain extremely bullish on. Again, some of these deals are -- we felt just with some of the timing that we're seeing in the delays of some of the VDR deals despite the size of magnitude of them, we did feel it was prudent to bring down that guide to, let's say, better coincide with our visibility, however limited that may be, to a more appropriate level. Hence, why we remain extremely disciplined, right, to continue to advance on our cost-cutting and reorganization initiatives. But again, the main drivers for that pullback or reduction in the year end guide is a combination of primarily Department of War Fed and bringing down slightly contributions from VDR in 2026.
Yes. And to be clear, there will be revenue for VDR in the back half of the year?
Correct. Correct. Correct.
So is it -- if you were to think about those three buckets, is it -- VDR is 20% of it, and then the other two are 80% in terms of the adjustment? Or if you can't get too specific, that's fine.
No, we can't break that out.
Okay. Helpful. And then I guess on the $46 million, Mike, is there any way to think about like timing on that? I don't know if you can give just a little bit tighter on the timing of when we should expect the update? And any thoughts as to how you approach that?
Yes. I mean, as we mentioned, we're in active discussions with the debt holders, and hopefully, we'll have some news here over the coming months, if not months. So it's top of mind. We're focused on it. Yes.
And then it seems like you've got nice momentum on the expense side given the revenue reduction relative to the net loss, it looks like the revenue is about $30 million, but only the net loss, $10 million, give or take. Is that the cost [ actions ] fully seasoned? Anything else in there we should think about? Just because it really -- nice progress there.
Yes, I think it's a combination of the cost reductions. And there'll be some more coming, coupled with, you recall, VDR from a margin perspective is not as good as some of our SaaS product. So that it's not necessarily a one-to-one correlation, yes, when you're taking that down.
The next question is from Pat McCann with D. Boral Capital.
I was wondering with the recent public sector wins, if that's driven an uptick in additional interest from other public sector organizations around the country? You mentioned, of course, the importance of CHP and the scale of it. How does -- how has that helped the discussions and the pipeline in the public sector business? Have you noticed a particular uptick as you've won some of these important and notable accounts?
Yes, absolutely. It's a relatively small industry, obviously, and when you're able to land some of these more material agencies, whether they're state local or at the federal level, of course, that has a ripple and referral effect across the organization, across the ecosystem, somewhat akin to any business.
And so that -- so despite, I'd say, some short-term delays -- and I want to really stress short -- I'm incredibly bullish on over the overreaching public sector business, both domestically here in the United States and internationally. So getting deals done, getting them publicly announced and frankly, and most importantly, getting happy customers who are using your mission-critical software repeat business, it is absolutely a catalyst.
So investors should take note of these material agencies and brands that we're signing. We're not happy with sort of the short term, some negative impacts in the ways that we've incurred, but it's important for people to listen to the brands and the names that we have been able to disclose. And some of the pending deals. Some of the stuff is public record. When we get the rights and approvals to more clearly promote and explain some of these big wins and award selections, we will do it and we will publicize those appropriately.
But I would say one more final point is it's -- there is definitely a crossover between, at times, state and local with the Department of Justice, obviously, as it relates to certain initiatives, with Border Patrol in other areas. So every win is important. Every material agency, whether it's state, local or Fed is important. But it's equally important for Veritone to be able to and appropriately be able to announce and market those effectively.
So again, these names are important. You are touching on a very important point, that this is real exciting momentum that. As Mike touched on, we do expect to see very material contributions to bookings and revenues in 2027 from a lot of these awards that have just recently been awarded.
And then my other question had to do with the guidance of moving towards breakeven in the early stage of 2027. I was wondering if you could kind of handicap your confidence around that based on the dynamic of revenue growth and the cost cutting, obviously, the cost cutting being more squarely within your control? So based on those two factors that would come together to drive the move towards breakeven, what is your confidence level? Is enough of that coming from the cost-cutting activities that, that becomes a very, very achievable goal? Just wondering maybe kind of the thoughts that went into that guidance.
Mike, I think you touched on a little bit, speaking to 2027. So why don't you reiterate that buffer range? And for those who are trying to build the models, it's going to take performance on both sides, and some are more in our control than others. But Mike, why don't you kind of reiterate what you talked about for 2027?
Yes. So I think we said with some modest growth of $125 million to $130 million and provided that we execute on sort of the remaining $3.5 million to $8.5 million of cost reductions in the back half of the year, that should be plenty sufficient to get us to what I'll call breakeven for the entirety through the year. Now some of that does depend on execution and reengagement, particularly with the Department of War.
And we do have some newer deals that hopefully will start bearing revenue as early as the first half. So there are things in there that have a little bit of risk. But from a growth perspective, I think the $125 million, if you take the midpoint of the $125 million to $130 million, it's about 11% growth at the high end of our guide.
This concludes our question-and-answer session. I would like to turn the conference back over to Ryan Steelberg for any closing remarks.
Thank you again for joining today. Obviously, we're very excited and bullish on many areas of the business, despite some of the tough decisions we had to make in terms of continuing to reduce cost. And obviously, these are impacting a lot of souls at Veritone. But again, where I think we're doing a very -- the best job we can.
This is obviously a great leadership team effort. And I want to be very clear, and I want to acknowledge the entire Veritone team for, frankly, great execution for the first half. We were able to still drive revenue growth. We were still able to drive pipeline expansion and real product innovation. Let's not forget that at the end of the day, these are killer products and services that we're innovating and developing and selling while simultaneously cutting costs and making major material reorganizations.
Would we like to be able to have done it faster and early in the year? Sure. But as an international body where we obviously have rules and regulations on reorgs and downsizing, again, strong marks across the board for our team on pulling this off.
Second, I would like to say is, despite, again, some of what absolutely are going to be delays, not binary negative outcomes with certain partners and clients in the Department of War, where, obviously, a lot of appropriations are being moved to acute munitions and active warfighting. We remain incredibly bullish about public safety not spanning U.S. state and local U.S. Fed and also international. Our market penetration and growth and relationship build-out with the U.K. and other markets specifically, should -- is very exciting, and that should make investors very excited as well.
And then obviously, VDR. VDR -- and again, it's just something I'll say generally is our business in this last quarter, a very material portion of our revenue came from over 2,500 smaller customers. And then you shift over Department of War and VDR, and you see a few customers that have the ability to contribute millions, multimillion dollars of revenue and high-margin revenue in a single quarter. And that's something that we, as an organization, have to adjust to, which we are, right? That's part of the reorganization and the efforts we're doing.
So again, let me reiterate that is, again, in the last quarter, well over 2,000 customers contributed to the super majority of our revenue, and then we have these exciting new lines of businesses that can have -- that at times are hard to forecast, but very -- in a very exciting opportunity, have the ability to generate substantial revenue growth with only a few contracts or orders, as both Mike and I communicated in our prepared remarks. So again, the excitement in the art form here is let's continue to be disciplined and rightsize and structure organization so we have better visibility on, I'd say, a baseline, but make sure we do not make the mistakes.
And that's why we are going to be very methodical on when we're making these reorganizations and these cuts too that we do not impair our ability for these hyper growth areas, including the public sector and VDR. So again, I think, again, we would score ourselves to pipe despite some short-term negative news today and reducing the guide. But we hope that we are effectively communicating the real underlying asset value and pipeline expansion that we continue to add to this business.
Again, with some of the biggest names in the space, like CHP, the U.K. Department of Work and Pensions, et cetera, Department of War, these are real, they're big, they're contracts. And frankly, we put our opportunity up against any company out there.
And then lastly, Mike touched on one. Please check on our investor website. We are attending a slew of different financial and technology conferences through the balance of the year. BMO, UBS, Needham, we mentioned Craig-Hallum, AlphaSelect and others. Look forward to meeting with both current and new prospective investors. And hopefully, people will continue to find excitement in a very -- in a killer business that has created a lot at servicing thousands of customers, and again, is executing against the plans that we laid out, right, despite some short-term hiccups. Thank you for your time today, and have a good evening.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
Veritone — Q2 2026 Earnings Call
Veritone — Special Call - Veritone, Inc.
1. Management Discussion
Before we begin, I'd like to note that certain statements we may make today, July 7, 2026, could be considered forward-looking. These statements are based on our current expectations and assumptions and actual results may differ materially due to risks and uncertainties. We do not undertake any obligation to update these statements after today's discussion.
For a full list of risk factors, please review the disclaimer on this slide and our most recent filings available at sec.gov. A replay of this webcast will be available later this week via the Investor Relations section of Veritone's website at www.veritone.com.
Following today's prepared program, we'll host a live Q&A. To make the best use of our time together, we'll be answering a selection of questions that were submitted in advance by our investors and analysts. While the webcast platform includes a live call-in feature, we will not be taking live questions during today's event. Thank you for your understanding, and we look forward to addressing as many of the pre-submitted questions as time allows.
Good morning, and welcome. I'm Ryan Steelberg, CEO and President of Veritone. Thank you for joining us today and for your continued interest in Veritone. Our goal over the next 90 minutes is simple. To give you a first-hand look at our business, our technology, our customers and the opportunity we see ahead. You'll hear directly from customers. You'll see recent advancements across our entire product portfolio, gain insights into our strategic priorities and better understand how we create long-term value for both customers and shareholders.
At Veritone, we were founded around a simple observation. The world was generating an enormous amount of unstructured data, video, audio, images and documents, but organizations had no practical way to understand, organize or extract value from that information at scale. That's where our story begins. The name Veritone represents truth in the signal. It reflects our belief that within every second or megabyte of unstructured data are valuable insights waiting to be discovered, organized and activated.
That vision led us to develop aiWARE, our proprietary AI operating system and ultimately, a portfolio of purpose-built solutions designed to help organizations transform data into intelligence, efficiency and revenue. What's remarkable is that while the AI landscape has changed dramatically over the last decade, the core challenge we set out to solve has only become more important.
Media companies are sitting on decades of valuable video archives. Sports organizations own millions of moments of premium content. Government agencies manage vast amounts of investigative evidence and public records. Employers are overwhelmed by recruiting data and increasingly complex hiring workflows. Across every industry, organizations are struggling to unlock the value hidden inside their data. And that's why I believe Veritone is sitting at the intersection of two of the most important forces shaping today's economy, AI and data. These trends are converging rapidly.
AI needs high-quality data to deliver meaningful outcomes and organizations need AI to make sense of the massive amounts of data they already possess. That intersection represents significant opportunity, and it's where Veritone is uniquely positioned to compete and win. Today, our technology supports mission-critical workflows across media, entertainment, sports, public sector and talent acquisition. We benefit from long-standing customer relationships, recurring software revenue, expanding platform adoption and increasingly valuable data assets. At the same time, we continue to see meaningful opportunities to grow across every area of our portfolio.
As we look ahead, we're equally focused on opportunity and execution. Over the past year, we've sharpened our strategic focus, aligned resources around our highest value initiatives, streamlined our operations and invested heavily in automation. Importantly, we're leveraging our own AI technologies inside our business to drive efficiency and scale. The result is a company that is increasingly disciplined, increasingly focused and increasingly positioned for profitable and durable growth.
We believe our business model can scale responsibly while creating sustainable long-term value for our shareholders. And we believe our durability comes from solving real problems that matter. Whether it's helping media companies monetize content, enabling public sector agencies to accelerate investigations, supporting AI developers with trusted data or helping employers hire more efficiently. Our solutions address critical business challenges that customers cannot afford to ignore.
Today's event is an opportunity to show you exactly how we do that. You'll see firsthand how media organizations transform content into intelligence and revenue. You'll see how public sector agencies are using AI to increase productivity, accelerate investigations and support public safety. You'll learn how our data business are helping power the next generation of AI development and model training. And you'll see how our hiring group, Broadbean, continues to modernize recruiting workflows for organizations around the world. You'll also hear about our strategic partnership with Oracle, which strengthens our ability to scale globally, support highly regulated environments and meet the growing compute demands of modern AI workload.
We're incredibly excited about the future and Veritone's future. We're excited to share our vision, demonstrate our technology, introduce you to our customers and provide a deeper understanding of the business we're building. Thank you again for being here.
With that, let's get started. It's now my pleasure to introduce our Chief Revenue Officer, Sean King, who will provide an overview of our commercial business.
Hello. Thank you for joining today. I'm Sean King, Chief Revenue Officer for Veritone. Our commercial business has been a foundational pillar of Veritone for years. And today, it stands as one of the clearest examples of how AI creates measurable business value. At its core, we help organizations ingest, organize, understand, manage and even monetize their unstructured data. The data we're talking about is audio, video, images and documents.
This data spans everything from live sports broadcast and breaking news to decades-old archives and even marketing assets. Because of that capability, we built an expansive global footprint of market-leading organizations. While our roots run deep across the media landscape, our primary customer base focuses on three massive sectors: first, global media and broadcast networks. Leading radio and TV station groups rely on our tech to streamlize (sic) [ streamline ] workflows, optimize ad spend and monetize their archives.
Second, professional sports federations, leagues and teams. Major sporting organizations leverage our tools to manage massive amounts of video, boost fan engagements via social clips and unlock hidden revenue from historic footage. And third, production studios and content archives. These enterprises use our AI to tag, manage and license decades of content, turning static assets into dynamic revenue-generating streams. And as our products evolve, we are expanding this footprint even further. Our mission is simple to democratize AI for organizations, both large and small.
Now let's talk about how we turn this mission into revenue. Every organization wants to know exactly what's in their archives. They want to find content instantly and they want to create new revenue streams. This is exactly where Veritone comes in. Our commercial business generates revenue through a highly active hybrid model. We combine SaaS subscription fees and consumption-based pricing with managed services, content licensing and professional services. This model is incredibly compelling for three reasons.
First, it gives us predictable recurring earnings stability, while consumption pricing allows us to scale up alongside customer demand. Second, it creates a powerful growth flywheel. As customers bring more content into our ecosystem, they use more of our applications as their archives grow, our opportunities for licensing and monetization grow right along with them. And third, diversification. We serve sports, entertainment, news, corporate communications and brand marketing. While each customer uses our tech differently, they are all solving the exact same problem, turning content into intelligence and intelligence into value. Financially, we are actively driving operating leverage to accelerate our path to profitability. Supported by ongoing restructuring and AI-driven cost efficiency initiatives.
So what truly differentiates Veritone in an increasingly crowded AI market? It comes down to four distinct advantages. Number one is experience. Long before generative AI became a headline, Veritone was building AI-powered workflows for some of the largest media organizations in the world. We are a founder-led business with over a decade of experience. Trusted by thousands to solve mission-critical challenges safely, securely and ethically.
Number two is our deep understanding of content. We don't just store data, we enrich it, search it, govern it and activate it. That is a fundamentally different challenge than simply throwing an AI model at a dataset.
Number three is our unified ecosystem. Many of our competitors address a single piece of the workflow, Veritone helps customers manage the entire life cycle of their content from applications to monetization.
And finally, we have a unique advantage few can replicate, access to some of the most valuable rights-cleared content libraries in the world. This creates massive synergies across our commercial, data refinery and data marketplace initiatives. To power this ecosystem, we provide an AI-first product suite that serves as the infrastructure for the next generation of media intelligence.
Let's look at the core portfolio. First, Veritone Digital Media Hub or DMH, this is more than a storage solution. It's a revenue engine. It allows media organizations to centralize and protect content while launching white-label storefronts to monetize their archives directly. Now historically, DMH was designed for enterprise giants with massive operations teams, but we've asked ourselves, what if we could deliver those exact same enterprise AI capabilities to organizations of any size? That vision has led to our next major evolution.
DMH takes a powerful foundation and reimagines it for a much broader audience. It is faster to deploy, easier to use and highly affordable. Users can upload content, automatically enrich it with AI metadata, create clips and search it instantly. Customers can be up and running in less than an hour. We are incredibly excited about this next evolution because it dramatically expands our addressable market. We are bringing proven enterprise power to thousands of mid-market organizations and independent creators who have never had access to tools like this before. This democratization represents one of our most significant growth opportunities.
Beyond DMH, our suite includes Veritone Discovery, our advertising content intelligence solution. Discovery provides near real-time analysis of live broadcasts, allowing teams to verify sponsor delivery and instantly surface earned media value. We also have Veritone Attribute, our platform-agnostic attribution solution. Attribute bridges the gap between linear broadcast and digital impact. By correlating broadcast ads and live reads to real-time web traffic, it gives broadcasters the hard data they need to prove campaign ROI, reduce churn and drive upsells.
Looking ahead, we are continuing to layer in agentic workflows, intelligent assistance and automation. We are helping customers do more with less while creating entirely new ways to extract value from their content. Ultimately, that is the story of our commercial business. We help customers transform content into intelligence. We help them transform intelligence into revenue and we are preparing them for a future where every piece of content becomes significantly more valuable through AI.
To show you exactly what this looks like in practice, I'd like to turn it over to Alyssa Clemson, our Senior Product Manager. Alyssa, the floor is yours.
Thank you, Sean, and thanks for having me. I'm Alyssa Clemson, and I am the Senior Product Manager for our commercial business at Veritone. Today, I'm excited to walk you through the latest updates to our commercial product portfolio.
Before we begin, a quick introduction, I've spent the last 5 years driving AI-powered platform and data product strategy at Veritone. And before my current role, I worked on the customer success team. This gives me an unusually sharp lens on usability in real-world workflows. I build with the end user in mind from day 1, not as an afterthought.
Every organization has thousands of hours of content. The challenge isn't creating it, it's finding it again. Your content shouldn't be limited to file names and folders. DMH automatically identifies the people, brands, texts and details hidden in every asset to help you find exactly what you're looking for in seconds. And our AI doesn't just organize your content, it's going to help you understand what's inside before you ever even hit play. When the right content is easy to find, teams move faster, collaborate better and get more value from every asset they create.
And with our built-in licensing and distribution workflows, your content becomes much more than an archive. It becomes a revenue opportunity. Veritone Digital Media Hub makes every asset searchable, understandable and actionable. Powerful media management should be accessible to every team. You can go from sign-up to searchable content in minutes. With just a few clicks, upload your content and let Veritone's AI automatically transform it into a searchable organized media library.
The same AI-powered intelligence trusted by enterprise organizations is now available through a simple self-service experience. Our AI automatically organizes your content, eliminating hours of manual work. Find exactly what you need, even if you only remember a term, phrase or moment. You can also create a fully white-labeled media experience in just a few clicks. Your media portal becomes an extension of your brand, no developers, designers or tricky work required.
Organize and share your content through a professional experience that reflects your brand. And with built-in licensing workflows, your content becomes more than an archive. It becomes a source of value and revenue for your business from creators and agencies to growing organizations. The power of DMH built for everyone.
Every team has more information than ever before. The challenge now is knowing what matters. Veri helps teams get answers the same way they'd ask conversational questions. Every answer leads to a deeper understanding, helping you uncover trends, opportunities and performance drivers in just seconds. Instead of spending hours analyzing reports, Veri surfaces the insights and next steps that matter the most. Soon, the same intelligence will help teams understand and unlock more value from their content and Digital Media Hub -- soon, the same intelligence will help teams understand and unlock more value from their content in Digital Media Hub and uncover the stories, trends and signals that matter the most to law enforcement to solve cases and investigate.
And now let's hear from one of our customers.
I work in media and specifically, we have five radio stations here in Tampa. And it's important that we can be accountable -- as accountable as digital media. And I knew that Veritone had a product that could help us address that. It was vitally important that we address that so we can grow our business. So clients can have confidence that the money they're spending with us is being well used with a great level of return.
I engaged Veritone for help because I've worked with Veritone in the past, and I know their customer service is fantastic. Their products are up to date and cutting edge and could really create a solution for us. We work with Attribute and Discovery. And both of those products help us show the customer how their dollars are working.
We had worked with other trackable models before. So when we converted to Veritone, my sales reps picked it up quickly, and were able to go out in the field and really get results by embracing Veritone and the accountability of that, that we're showing. We work -- radio works, media works, but now we have a trackable system to really operate and show clients how their money is being spent.
Working with Veritone was very quick. I think it's less than a month between when we connected with them, had the contract signed, and we're up and running. It solved the problems right off the bat. Once our sales reps were trained on Attribute and Discovery, it was seamless. They were able to take campaigns that our clients ran and show them the results and do A/B testing, which copy was more effective than other copies, which dayparts were more effective. And that allowed us to really double down on things that were more successful and show clients where they were spending their money wisely and where we could be more efficient.
Well, I'd like to say Attribute is cancellation insurance. And since we've been working with Veritone, we've seen our cancellations go down and our renewals go up. That's an important metric for us specifically because when I took over here 4 years ago, renewals was a major issue. And now it's much more seamless because we can clearly demonstrate the value of our products.
I think the data that's most important for us out of the three, the customer service that we get from Veritone is very important. I have a long relationship with some of the people there, but the products are equally as important because without the products, we wouldn't be able to show our clients the value for working with us.
Kevin Nazal, Executive Director, Game Show Network. One of the issues that we had was we had over 30 years of library content of our game shows all over the place in different areas, on tape, on different servers. And it was very hard to search our content to find if we want, to stunt things, to marathon things. If we're searching for particular questions or if we needed to do a special on someone that we're celebrating or may have passed away.
When we first heard about Veritone, we were just looking for a place to store all of our game show questions so that we can easily search for it. And it quickly became a solution for us to search our content and help with our workflows. We found it with our workloads with social, easy to implement and easy for our social teams to search for our content. Previously, the way that we were searching for content was through excel files or metadata that was entered into some of our systems. So if you're looking for Christmas content, someone in the office knew about which episodes and which shows we had particular Christmas content. They still have to go search and actually watch those shows. It also helps with a lot of our on-air promos. We were able to quickly edit and develop a lot of the content from that.
One of the other solutions that came out of this was we were able to do a lot more marketing partnerships with partners to actually provide content that was relevant. So one of them that we're doing for Game Show Network is we're partnering with Alamo Drafthouse and providing preshow content for each of their movies. And one of our KPIs that we've discovered is less quantitative and more qualitative, we just have found that the efficiency with the teams has become a lot faster. We also found that searching for content in real time has become a lot easier. So Veritone for all of us has become a tool that we're utilizing digitally for our website, for social and especially for on-air. So we're really glad that Veritone is part of our workflow.
And with that, I'll turn it over to Peter to walk us through ArchiveIQ.
Thanks, Alyssa. I'm Peter Leeb, Vice President of our Commercial Business at Veritone. In my role, I lead enterprise AI adoption strategy and new business growth. I also oversee dealmaking and partnership, corporate strategy and go-to-market across Fortune 1000 enterprises and technology partners.
Enterprises today are sitting on petabytes of unstructured media data, often blind to its true commercial value. Veritone ArchiveIQ changes that. Providing a unified observability platform to unlock those hidden assets. Our executive summary dashboard offers a single view from across your ecosystem. For this archive, we identify over 1,400 terabytes of data, revealing an over $33 million untapped value opportunity across revenue, cost savings and risk reduction.
Let's take a look at how we drill down into these numbers. With a single click, users can dive deep into archive growth trends and asset composition. The platform allows you to effortlessly slice and dice data by content type, resolution or language, giving teams the power to analyze media from multiple suppliers in either an aggregate or isolated view. When it comes to financial optimization, ArchiveIQ provides actionable pathways. Under the untapped value analysis, the platform distinguishes between immediate cost savings opportunities in active revenue generation.
Finally, we've integrated the ArchiveIQ assistant. This interactive AI companion allows teams to run predictive monetization assessments instantly. By entering specific asset quantities, resolution types and metadata richness, the platform leverages a decade of historical marketplace data to forecast the licensing value of an archive.
Fully customizable, secure and highly scalable ArchiveIQ transforms stagnant media archives into liquid corporate assets, maximizing corporate return on investment and securely provisioning the high fidelity data needed to train the next generation of AI models. Discover the true value of your archive with Veritone. Thanks for having me and I look forward to sharing more about our data licensing business in just a bit.
In the meantime, I'll turn it over to Jon Gacek to share more about public sector business.
Thanks, Peter. Good afternoon, my name is Jon Gacek, Senior Vice President of Public Sector and Strategy at Veritone. I spent the last 8 years to helping develop AI-enabled solutions for public safety agencies at the local, state and federal levels.
Today, public sector has become one of the fastest-growing and most strategically important areas of our business. While many AI companies are still searching for practical real-world applications of their technology, Veritone is already delivering measurable outcomes for government agencies every single day. At its core, our public sector business helps agencies manage, analyze and act on massive volumes of digital evidence, investigative records, audio, video and documents.
The challenge facing governments today is straightforward. The amount of data continues to grow exponentially. The number of applications have grown exponentially, but staffing levels, budgets and resources have not kept pace. Investigators are expected to review thousands of hours of evidence, including video and audio, and agencies have to respond to public records requests faster than ever before. And all of this must happen while maintaining strict compliance, absolute security and chain of custody requirements.
The reality is that many agencies are attempting to solve 21st century problems using workflows designed decades ago. Our AI-powered applications change that. We help agencies process information faster, uncover critical insights more efficiently and effectively and dramatically reduce the time to complete mission-critical tasks, and we do it much more accurately.
Today, our public sector customers include federal agencies, state governments and local law enforcement, universities international public safety organizations and agencies across that ecosystem. We are proud to support elite and demanding environments, including the U.S. Air Force, the DLA, the DOJ, Riverside PD, Riverside Sheriff, Anaheim PD and the Cold Case Foundation. These are not experimental use cases. These are operational necessities driven by real-world challenges that agencies must solve regardless of the economic conditions.
From a business model perspective, we generate revenue through software subscriptions, implementation services, professional services and long-term enterprise deployments. Importantly, this business thrives on having success, expanding the use cases and expanding the customer base. Public sector is very much a success-based business.
An agency may initially deploy a single application to solve a targeted challenge. But once they experience the significant productivity gains, they routinely expand across other departments, other workflows, and additional datasets. Because these systems become deeply embedded in day-to-day operations, our customer relationships are highly durable and long-lasting.
When it comes to public sector, security isn't a feature, it's nonnegotiable requirement. Public safety and intelligence organizations cannot compromise. The data that they manage includes criminal investigations, personally identifiable information and intelligence records that require the highest levels of protection. That is why security, governance and compliance have been foundational design principles for Veritone from day 1. Our solutions are built to align with rigorous CJIS security standards for law enforcement.
Further, our applications are FedRAMP authorized. We continue to invest heavily in the environments that meet the government's most stringent security risk management and compliance standards. Equally important is our open architecture. Government organizations operate in complex environments. Lots of different technologies, and they have evolved over many decades. They cannot afford to rip and replace every system that they own every time there's a new technology. Veritone's approach allows agencies to integrate their existing tools and datasets seamlessly.
We also offer unmatched deployment flexibility. An agency can operate Veritone solutions in the public cloud, government clouds, private infrastructure or in fully air-gapped deployments managed by themselves. Very few AI companies can operate across the full spectrum of deployment options. For our customers, it means they never have to choose between innovation and compliance, and we can take our technology to what the mission requirements require.
Finally, we have a unique ability to work across multiple data types. Investigators don't think in terms of separate audio files, video clips or text documents. They think in terms of cases and data. Our platform brings these disparate data sources together into a single searchable intelligence layer. This allows investigators to find hidden connections faster and make better decisions.
Today, agencies simply cannot keep up with the volume of modern data and the disparate datasets. Our core products Investigate, Track, Redact and Assess, all directly sit at the center of this trend. Each application solves a critical operational challenge. Together, they create a comprehensive platform that accelerates investigations, improves compliance and unlocks unprecedented productivity and ultimately solving cases.
Just as importantly, these applications create an ideal foundation for the next generation of agentic government workflows. As AI continues to evolve, agencies will look for solutions that don't simply surface information but actually help the personnel complete the tasks faster. Veritone is uniquely positioned to lead that evolution. Unlike newcomers entering the public sector today, we are not starting from scratch. We have spent years building trusted relationships, secure infrastructure, routes to market and proven workflows that agencies rely on every day. The result is a business characterized by strong demand, durable revenue, expanding use cases and a massive growing market opportunity. We are only beginning to unlock what is possible. And now let's hear from a customer.
I am Butch Rabiega, and I currently work for the Cold Case Foundation, volunteer, and our foundation provides assistance to law enforcement and victims' families across the country in working on cold cases. Well, first, we uploaded a case that had 2 terabytes of information and I had a hard time wrapping my head around even though I've been working on it 6 months with the continual updates and information being received from the technical side as well as the investigative side.
And when I started utilizing Veritone and interacting with it and asking it questions, it would provide the information back in a concrete, coherent manner and in seconds and listing everything so that it made it so easy to remember because it was so logical to flow, but the speed at which it came back was incredible. It would have taken me a week to do just that one question going through the information. And I just kept digging into it.
And I found that 1.5 weeks ago maybe, we entered a new case and working with my supervisors, we asked about 10 questions from all the information. And in about 30 minutes, we had a complete summary of the case that made sense that could then give us not only an overwhelming understanding but a direction of where to go next, what leads to maybe pursue. But I've been using it to work on cases and I've seen what it's produced and how quickly it's produced information.
And I've seen how it learns. And then I actually learn from the system because when you interact with the system, it comes back and tells you what it's searching for, but also makes recommendations on better ways maybe to search what you're looking for. And so it's -- like I've said before, it's like -- it's a partnership. Like it's like your personal partner in this investigation that you have that you can go back and forth with.
So -- and it's just, again, the less time you have to worry about putting all this different information together, the more you can focus in on the important stuff in the case to help identify those leads. We're hoping to be able to use it and upload all of our cases and use it on all of them. We want this to be the foundation for all of our work. It doesn't make sense any -- to not do that.
Okay. My name is Richard Coleman. I'm the Founder and CEO of MissionRT. I spent my career in public safety technology, working with law enforcement and government agencies to deploy tools that quite literally save lives and make communities safer.
We chose to partner with Veritone because their AI platform from our perspective, was uniquely aligned with the challenges we see every single day in public safety and every single day across government, frankly. We weren't looking for just another model or just another point solution. We were looking for an AI operating system that understands the real-world workflows, that understands law enforcement, understands public sector. And that's exactly what we got with Veritone.
Veritone has proven that they can deliver what law enforcement and public safety is looking for. The Redact product and broader aiWARE platform, these solutions are already helping agencies automate some of the most painful time-consuming parts of the job, things like redacting video, which could take hours and hours trying to go through a video before it's [ FOIA'd ] and released publicly. It's cutting significant amounts of time. And audio for public records and evidence releases.
Instead of adding another silo tool, which is a tool that's going to work all by itself, we're seeing that Veritone, they're providing a way to connect AI directly into existing systems and processes and exactly into the model that MissionRT is looking for. We're an open ecosystem. We want to end data silos, not create more. And so we thought selecting a solution like Veritone, which plugs directly into these systems was exactly what we needed across public safety and law enforcement.
They have a track record of operating at scale. One thing about law enforcement is this data is mission-critical. There's a lot of it. You can't come in and not be mission-ready. You can't come in and not be ready to go to fight the problems of today's battles. And Veritone is a solution that we see that's mission-ready. It's been proven not only in the commercial markets, but it's proven in the law enforcement, public safety market at scale with an emphasis around security, privacy, compliance, which is critical.
So the fact that they're FedRAMP authorized means that they not only can operate at the state and local level, but they can also operate at the federal level, which from our perspective, is something that made them stand out from the crowd. And because of all that, we see Veritone as not just another AI supplier for us, not just another AI tool. We see them as the fundamental infrastructure partner that helps MissionRT deliver integrated mission-ready AI capabilities to our customers.
Now I'd like to invite Victoria to walk through the products that are driving the momentum and show you exactly how agencies are using Veritone technology to transform public safety operations. Victoria, take it away.
Thanks, Jon. I'm Victoria Dickson, and I'm the Product Director for our public sector solutions. Over the last 4 years at Veritone, I've led mission-critical initiatives across multiple businesses, increasing customer value, internal adoption and more efficient go-to-market execution.
Starting with Investigate. Investigate is one workspace for every artifact in a case, including body-cam footage, CCTV, interviews, documents and more. Let's open an example of an officer-involved shooting case. The detective can open the officer's body-worn camera, read through the summary generated on upload to quickly gain context without watching the whole clip. Now on the time line, she can search the transcript, objects and faces in one view and jump to key moments in seconds, not hours. Switching to detective, searching across sources who need to connect the dots. They can find a silver minivan in CCTV footage and on social media, if they've shared in the post the next day, all inside of one system.
And for all cases and cross-case searches, we ensure officer protections are in place. We provide sensitive content alerts for relevant files based on key file intelligence gained upon upload. By default, this covers CSAM and pornography, but is fully customizable based on an agency's needs all available today, one pane of glass, intelligence on upload, cross-case searching and investigatory protection, all built in.
Now for what's next, nested folders and map-based preview. Soon, you can organize your cases as needed, segmenting out sources or isolating key evidence. The upgraded key actions will give you speed for efficiency for items like tagging, editing and exporting. Additionally, the new map view will give you key geographic intelligence at every step of the way inside of your case as well as across cases, production powered today with key enhancements coming soon.
Now let's move to Redact. Redact is one of our most widely used public sector applications and solves a very real challenge. Agencies are required to protect personally identifiable information when releasing body-worn camera footage, dash cam footage or other key evidence. Historically, this meant someone had to go frame by frame and manually blur sensitive content. Redact removes that burden. The application features object detection flags for faces, heads, allows you to confirm redactions for other objects like laptops, notepads and license plates. You can also manually confirm any of the redactions that are auto detected. You can apply codes or leave timestamp comments for others to review.
For audio on the same file or for audio-only files, you also have the ability to come in and redact or apply redact voice masks. All depending on your agency's needs and file release policy needs. Images follow the same detection review workflows as videos without displaying the time line video or audio tabs. Video, audio and newly released image redaction capabilities along with audit reports, all available in production today. And now a preview of the soon-to-be-released document redaction.
For PII detection groups for addresses, phone numbers and names, you can now check and confirm the findings. It allows human review and release instead of auto release, outline preview also shows what's behind the box, so you can scan through and review to make sure everything that you need is covered. Redacted files produce the same output, which is a redacted file with audit capabilities ready for council review or release to the requester. Once the document redaction capabilities are released, you'll have access to redact all media in easy-to-use audit-friendly tool.
And finally, I'm proud to show you, Assess, which is a brand-new AI-powered data analyst solution, but with law enforcement, military and compliance professionals in mind, Assess condenses time spent on manual data reviews, empowering investigations and ultimately transforming unstructured data into actionable insights.
Currently available as a stand-alone application, this tool will soon be available within Investigate. The platform features three primary capabilities, shipping together. Persona configured agents, Veri chat and formal case assessment. Agencies can customize and define specific personas, such as homicide, narcotics or financial crimes within the settings.
Within the case workspace, investigators can use plain language to ask Veri, similar to what Alyssa previously demoed, as part of our commercial solutions suite to perform tasks, such as finding every case tied to a specific phone number. Veri scans all key data stored across files and cases to provide actionable guidance. For instance, we can filter 12 active cases in one step, surfacing patterns in minutes that would typically have taken days to cross reference.
The case assessment feature analyzes incident reports against department policies for command and internal affairs review. Time line findings are easily categorized with each linked directly to the source document. This allows reviewers to validate the reasoning behind findings rather than just the conclusion.
Finally, reports can be easily exported from the same interface, providing structured and auditable information for leadership. The platform integrates daily investigation tools with case assessment for oversight, creating a single platform that handles everything from evidence to briefing and release.
Thank you for your time today. Before I turn it back over to Peter to share more about our data licensing business, let's take a minute to hear from one of our partners, Oracle.
When people talk about AI, they often focus on the models. What we're seeing with companies like Veritone is that the real opportunity lies in what organizations can do with their data. Across media, entertainment and sports, companies are sitting on decades of valuable content. Video, audio images and documents that has historically been difficult to access, analyze and monetize at scale. AI is changing that. Veritone is helping some of the world's most recognizable media brands unlock the value of those assets through intelligent workflows that make content searchable, actionable and revenue generating. That's the art of the possible when AI is paired with the right data foundation.
As those workloads grow, scale matters, the amount of compute required to process, analyze and derive intelligence from petabytes of content is substantial and it's only increasing as AI adoption accelerates. That's where Oracle comes in. Oracle Cloud Infrastructure provides the performance, reliability and scalability needed to support these mission-critical AI workloads.
Together, Oracle and Veritone are creating an environment where customers can confidently apply AI across massive content libraries and operational workflows without compromising performance or trust. We're excited about the partnership because it represents more than a technology deployment. It's an example of how AI can create entirely new opportunities for media, entertainment and sports organizations, and we're still in the early innings of what's possible.
The AI narrative has fundamentally shifted from raw computing power to high-fidelity data architecture. Data is the single most critical element of the entire technology stack. For years, early foundational models relied on scraping public internet data. Today, that public resource has been exhausted. The true competitive advantage now belongs exclusively to those who possess unique, proprietary and recurring real-world information. Enterprise data is the ultimate competitive moat and fuel behind foundational models, application models or internal models.
However, a massive commercial bottleneck remains. The world's most valuable data is multimodal. Hundreds of millions of hours of rich video and audio trapped inside unstructured legacy systems and archives. Because models are only as good as the data used to train them, AI researchers, scientists, and machine learning engineers are now allocating billions of dollars to secure premium, ethically sourced and rights-cleared datasets. Veritone sits precisely at the intersection of these market forces, transforming dormant enterprise data into a highly liquid, entirely new asset class.
To monetize enterprise data, you must first translate it into a universal language that machines can comprehend. That is the function of the Veritone Data Refinery or VDR. Think of VDR as the industrial conversion engine that transforms raw unstructured media into AI-ready assets. Organizations sit on decades of audio, video, images and documents that are historically impossible to index search or utilize. VDR ingests, enriches, annotates and formats this dark data into high-density machine-readable tokens.
Crucially, and when necessary, the platform can also execute automated privacy and compliance controls, such as the redaction of personally identifiable information. Veritone monetizes VDR through a highly scalable transaction matrix including data processing fees, consumption-based refinement revenue and data preparation services.
The global traction is undeniable. The Veritone Data Refinery processed 22.2 trillion tokens during the second half of 2025 alone. This marks an over 3.5x volume increase compared to the first half of the year, driven directly by the throughput demands of all the leading public hyperscalers and model developers. This extraordinary momentum is rooted in deep institutional trust.
As Sean mentioned, we have over a decade of experience connecting rights holders with buyers through our content licensing business. Our content and data licensing experts have executed thousands of agreements across media, sports, news and entertainment for some of the world's most recognized brands. Our experience negotiating usage rights, managing approvals and helping support compliance through evolving copyright and distribution standards, in addition to our established reputation for securely facilitating massive volumes of rich multimodal data through our platform has solidified our core partnerships with global hyperscalers, consistently yielding multiple repeat orders and extensional benchmarking validation under the most demanding enterprise workloads.
If the Veritone Data Refinery is the industrial plant that processes raw content into high-grade fuel, the Veritone Data Marketplace or VDM is the financial marketplace where that fuel is securely transacted. VDR produces the asset and VDM monetizes it. VDM is a fully governed, transparent marketplace built to establish clean provenance and fair compensation.
On one side, verified rights holders establish brand-new high-margin revenue stream for their data. On the other side, accredited developers building foundational models, vertical solutions and custom fine-tuned systems gain instant access to premium rights-cleared data. Veritone captures value across this ecosystem through marketplace transaction fees, direct revenue sharing on data licensing agreements and recurring platform fees.
We view VDR and VDM as two halves of the exact same macroeconomic [indiscernible] by positioning Veritone [ emerging ] data economy, we are empowering organizations to unlock the true liquidity of their archives while securely provisioning the next generation of artificial intelligence. Maximize your data, empower the future, this is Veritone.
With that, I'm pleased to welcome Sean King back to share more about our talent acquisition business, Broadbean by Veritone.
Thanks, Peter. While much of today's discussion has been focused on AI and digital transformation, Broadbean represents something uniquely important to our long-term strategy. It is a durable global SaaS business with deep customer relationships, highly recurring revenue and significant opportunities for innovation. For more than 2 decades, Broadbean has helped employers solve one of the most fundamental challenges facing every organization, finding and hiring talent.
Today, Broadbean serves thousands of customers around the world. We're talking about enterprise employers, government agencies, staffing organizations and recruiting teams across virtually every industry. Our platform helps them distribute jobs, manage recruitment and marketing campaigns, optimize candidate attraction and improve hiring outcomes. At a time when organizations face intense pressure to do more with fewer resources, these capabilities have never been more important.
The recruiting landscape has become dramatically more complex. Employers are expecting to attract talent across dozens of different channels. Candidates expect faster personalized experiences and recruiters are being asked to manage crushing workloads while improving measurable results all while hiring budgets remain under pressure. This is why our business model is so incredibly resilient. We generate revenue through recurring SaaS subscriptions, recruitment advertising services and strategic technology partnerships because recruiting remains a mission-critical function regardless of the economic condition. Broadbean benefits from long-standing customer relationships and highly predictable usage patterns.
Many of our customers have relied on Broadbean for years and, in some cases, decades. As a foundational part of their hiring technology stack. That level of durability is incredibly valuable to Veritone. It provides a stable source of recurring revenue while creating built-in opportunities to expand services, introduce new capabilities and deepen customer relationships over time.
One of the primary reasons Broadbean has maintained its market leadership is its ability to integrate seamlessly into the systems customers already use. Today's hiring environment isn't powered by a single platform. It's a vast ecosystem of applicant tracking systems, job boards and analytic tools. Broadbean acts as the connective tissue across that entire ecosystem. Our deep integrations with industry leaders like Workday, Oracle and SAP position us right at the center of some of the world's largest hiring environments. These relationships create a massive competitive moat that give us a distinct advantage and provide immediate access to growth opportunities as organizations continue to modernize their talent acquisition.
Together, the Broadbean suite includes four core solution areas designed to maximize operational efficiency. First is Broadbean Job Distribution. This enables recruiters to publish openings across hundreds of job boards and career sites from a single interface. Instead of manually posting jobs one by one, recruiters distribute positions at scale, maintain consistency and gain instant visibility into performance. It creates massive operational efficiencies.
Second is Broadbean Programmatic. As recruiting becomes increasingly data-driven, organizations need smarter ways to allocate ad spend. Programmatic helps employers automatically optimize recruitment advertising using real-time performance data. Instead of guessing where to invest recruitment dollars, automation directs spend towards the channels delivering the strongest results. This means higher candidate quality, lower acquisition costs and a much better return on investment. Our recently introduced job acceleration capabilities extend this value even further, allowing recruiters to quickly boost visibility for critical or hard-to-fill positions when hiring needs are most urgent.
Third is Broadbean OFCCP. Compliance is a strict critical requirement for federal contractors and highly regulated organizations. This solution automates and simplifies complex compliant workflows, reducing the administrative burden while mitigating risk and maintaining confidence in the hiring process.
The fourth is Broadbean media services. This is our managed services offering that helps organizations maximize the recruitment marketing investments. Our team works directly with customers to develop media strategies, negotiate placements and improve outcomes. Media services continues to demonstrate strong growth as organizations increasingly seek expert guidance to navigate a fragmented marketplace. It adds a powerful layer of value that drives long-term retention.
But what makes Broadbean particularly exciting today is not just where the business has been, it's where the business is going. Recruiters spend countless hours performing repetitive administrative tasks, writing job descriptions, managing campaigns, analyzing data, coordinating workflows. These processes are the exact use case that benefit most from intelligent automation and agentic AI.
This is why we are investing heavily in the next generation of Broadbean capabilities. We believe the future of talent acquisition isn't simply about posting jobs. It's about creating intelligent systems that help recruiters make better decisions, move faster and focus their time on high-value human interactions. Broadbean is uniquely positioned to lead this transition because we already sit at the center of the workflow. We have the data, we have the integrations and we have the customer relationships necessary to bring these innovations to market at scale.
As we look ahead, we see significant opportunities to expand Broadbean's value positioning through automation, AI-assisted recruiting and deeper HR ecosystem integrations, combined with its recurring revenue model, global customer base, and powerhouse partner network, Broadbean remains an important profitable contributor to Veritone's long-term growth strategy. It is a business perfectly positioned to ride the very same AI tailwinds that are reshaping industries all around the world.
To show you exactly how these innovations are coming to life. I'd like to turn it over to Brittany, who will give you a look into what the future of talent acquisition looks like with Broadbean. Brittany, over to you.
Thanks, Sean. I'm Brittany McKenzie, the Senior Director of Sales and Account Management here at Broadbean by Veritone. There's always that one job, the one that hiring team needs filled right now, and it's sitting in the same campaign as everything else, taking the same slice of budget as roles that aren't urgent at all. That's the gap Job Acceleration closes. It takes a single role and gives its own dedicated push without touching anything else you're running. Let me walk you through it.
Every job in the campaign has its own accelerate control. right here in the row. Opening it brings it up to a quick setup just for the one role. You're choosing a budget, a run time and how quickly you want candidates coming in. Nothing else in the account is affected. And the whole thing rests on three simple ideas. The budget is dedicated, so it never pulls from your main campaign. The delivery is faster because this role now has its own push behind it, and you only pay for the traffic you actually use. There's no waste built in it. So when a budget is chosen here, it funds a brand-new separate campaign for this one job. The original budget stays exactly where it was. You're adding firepower to the role that needs it, not borrowing it from somewhere else.
One confirmation in the new campaign is cleared to run right alongside the original job. From there, it goes live straight away. It starts competing for the candidates on this role immediately with no waiting for the next cycle to come around. And that's it. The role is accelerated. There's a new campaign running now, tracked entirely on its own. So the impact of that extra push is clear from day 1.
Back in the table, every accelerated role carries a badge. So at a glance, even across hundreds of jobs, you can see exactly which ones have a dedicated push behind them. Open the card and you get the live picture for the role in one place, clicks, applicants, budget, spend, cost per click, cost per applicant, everything you need to know that it's working. And you stay in control the whole way through. The same card lets you end the acceleration whenever you want. If priority shift or the role gets filled, you stop the spend right there.
Now here's the part that really matters. The applicants from the accelerated role sit right alongside every other job in the table. So you can see in plain numbers, the candidates the dedicated push brought in. That's the return in black and white. And all of this rolls up, whether you're in the overview, the jobs view or reports, the acceleration data comes through. So you can compare its impact across the whole account, not just one role at a time.
So here's what I'd leave you with. When a single role needs to move now, Job Acceleration gives it a dedicated push, measured on its own with spend you stay in control of. One of our customers, SOS Group, said it better than I can in their words. "This has been an absolute game changer for us. We have so many times needed to be reactive and here it is. This is how we can do that." This is the reaction we keep hearing, and it's exactly why we built this.
And now let's take a moment to hear from one of our customers.
My name is Megan Gebbie, I am the Director of Talent Acquisition with SOS Group. Prior to working with Broadbean, we were experiencing a lot of issues with getting a large pool of applicants. So the volume of applicants we were getting was just not sufficient enough to fill the amount of job openings that we had. And we needed to address this in order to please our clients. The clients are -- we're their vendors, we work for them, and we want to make them happy and the jobs were not getting filled. And even though there may have been a few jobs being filled, they weren't being filled fast enough.
So we engaged with Broadbean to help us bring in just a larger volume of applicants. What we were doing wasn't enough. We were posting manually. We were updating our own posts. We were revamping our own post on one job board, one of the largest job boards out there that everybody else was using. So the competition was fierce, and we couldn't keep up. So the Broadbean solution that we used, I mean, just using the sponsored post, getting us out there on top of multiple job boards, we are using the sponsored posts through Broadbean. It's been incredible.
Time line was pretty quick. I mean it was a very seamless process once we got involved with them and the integration process for us, everything was very straightforward. And I mean, kind of hands off for us as well. So Broadbean and Veritone is who we're currently working with. They were able to just jump into everything that we needed with minimal need from us, they were able to get it all done. It honestly did not take long at all. We ended up probably seeing the turnaround within just a day or 2 of our jobs being put on boards and applicants rolling in.
We've seen quite a few benefits from this. I mean, again, just seeing a larger pool of applicants there's a lot of competition out there right now. And we have just seen a tremendous amount of more qualified applicants, just better fits rolling into our system. We now have a database filled with all types of qualified applicants across the board. Since we started using Veritone and Broadbean, we have really noticed the number of -- some of our KPIs were -- been improved, where the number of interviews the recruiters were getting weekly, those -- some weeks have tripled with the amount of applicants we're pulling in, especially on our busy time of year, which is now.
We have seen a tremendous number of official hire letters, offer letters going out. So from the funnel of recruiting, from that net we cast out, we have seen a huge increase in that. And even though at the bottom of that funnel, it doesn't look like a huge number and the number that we do get coming out and working for us is much larger than it ever was prior to us using these services.
One of the most important data points I would consider would probably just be, again, the number of applicants we get. Staffing, there's no exact science to it. There's algorithms out there that help us get people, but they're still very unpredictable. Working with the human race is just very challenging at times. But that being said, we've learned anything. It's the more people we talk to, the more applicants we get, the higher chance we get of somebody making it across the finish line and starting to work.
So we -- I would say the number of interviews increasing and then the number of hire letters were just so important to us and have made a huge difference. It's helped our company grow over a short period of time. And then learning a little bit about the Job Acceleration, too, we are now able to become very reactive when needed. Our clients have noticed and our clients have made positive comments on us filling jobs.
All right. Hopefully, everybody can hear me now. All right. Great. Sorry for that delay as we transitioned over.
Anyway, thank you for you guys for staying on. It was a long session, but obviously, I think, the point where we want to really impress upon everybody is, well, first and foremost, I thank -- want to thank my team for putting this together and all of our customers really and eagerly willing to speak out about what our solutions are bringing to the table and how they're part of not just their day in and day out and weekly and monthly workflows, but they are mission-critical as you've heard from them and you've heard from our team.
What you've seen and what we are building and deploying, the important elements here are, it's all about data and AI, right? The magic and what you can do and how you can apply orchestrated AI and agentic AI to massive amounts of messy unstructured data with real results and obviously, we've been able to do that across multiple business segments and in some areas, radical different workflows and use cases. But the important element is that these are all built on a common vision, a common stack of aiWARE and it allows us to continue to service these customers at huge scale with great velocity.
Also, the game is changing. Our need to continue to innovate fast, introduce the latest state-of-the-art features and functionality is critical for us to stay competitive, and we are. So again, I want to appreciate everything -- everybody for joining today.
We have been compiling a list of different questions. I want to spend a few minutes with those. Can give me the audience to stay on for a little bit, and I'll do it. Please note that this presentation is going to be made available for replay. Obviously, there's a lot of great nuggets in here that we're going to intend to [ chunk up ] and distribute through different campaigns and the like. But again, this entire webcast will be available for playback.
But let's get to a few questions. In terms of scale, one thing I wanted to add before I jump to Oracle, is what you've seen here today and what we're building is used by tens of thousands of unique users and thousands of customers each and every month consistently. So again, we just want to double tap on what you're seeing here are mission-critical workflows used by end users and enterprises every single day, every single week and every single month. And again, that's something that we take a lot of pride in, but it's important that we continue to build and extend upon that opportunity.
All right. For the first question is about Oracle. I'm just going to give you -- the question was specifically, can you provide a quick update on Oracle and where we are with that product integration, the product rollout and the extent of the relationship.
We are on track. And I think we are planning on right now to start moving a material amount of data payloads initially focused on the data side. And then secondarily, on the compute side as early as August, which is right on track. More importantly than just a phenomenal technology partner, we do expect, to be clear, when we make this transition that the efficiencies that we're going to realize through this relationship could potentially generate up to 20% or more in cost savings, which is going to be just awesome.
But however, there's a lot more to this relationship than just being a technology vendor. We look at this as a great partnership for co-selling and really attacking the market shift as really like partners, almost like teaming agreements. I had the opportunity to speak live at the annual sales kickoff to an audience of thousands of sellers. And frankly, it was just Veritone and one other customer who had that opportunity. So again, we're -- again, we are all in on the Oracle relationship. They've been a great partner so far, both in helping us assist in the transition on the technical and the build on the technical side, but also a co-selling partner as well.
All right. Second question is a little bit on just what's the business model or a little bit of the workflow behind VDR. We got a lot of questions here, but I'm going to kind of give you short and succinct answers here on some of these.
VDR is exciting, and we sit on and we represent -- we sit on both sides of the equation, both the buy side and the sell side. On the buy side, we have direct contracted engagements with numerous foundational model and hyperscaler companies, the likes of the Googles, the NVIDIAs and others. So again, we're under a master services agreement contracts with them, and then we execute specific task orders or purchase orders as data needs come out. So for example, if they're looking for 10,000 hours of security footage that needs to be run through aiWARE, indexed with metadata, cleaned, transcoded, et cetera. And that would be an example where we're executing an order working with those hyperscalers directly.
On the flip side, we also have numerous engagements and we are under contract on the sell side. So the likes of a lot of the data suppliers. So again, the vision here is to have the largest supply available, readily available. So we are always looking to acquire new datasets, build relationship with new data providers and immediately through our technology stack, DMH and aiWARE is make those datasets available and get those supplies and those samples in front of these data scientists, in front of these hyperscalers as quickly as possible.
Again, we think about it as hit rate. We don't want to be in a position when a hyperscaler says, "Hey, we are interested or we're looking for a dataset." How quickly can we find it if we don't have it already and how quickly can we prepare that dataset, process it, enrich it with metadata and be able to prepare it and deliver it to the end customer. So again, VDR, Veritone Data Refinery, we sit on both sides, contracted with the buyers and the seller side. It's a very advantageous position that we're in today.
A question about hyperscalers and how we look at them as partners or competitors.
We look at them as primarily partners. I could say, Oracle, obviously, is a hyperscaler on infrastructure side; AWS, NVIDIA, these are obviously hyperscalers, and they're both partners, right, where we are actually selling -- actually generating revenue from them, but in many instances, we are co-selling with them in the likes of an Oracle or an AWS.
Of course, they offer their own models. And of course, they offer their own application frameworks where you can build on the solutions. But again, what makes Veritone so powerful is we are the full end-to-end stack, right, from the full data ingest, the orchestration of models, right, that we're agnostic, so people can bring their models or they can tap into over 250 models that we have readily available on our stack. All the way to using our API or application levels.
So again, Veritone can be the full end-to-end stack or we can work in concert in coordination with the hyperscalers, which we've done on multiple occasions for different customers out there. So again, the ecosystem, obviously, there is overlap in different areas, but I would definitively state that a lot of these groups are either clients or partners, not necessarily competitors of ours.
Let's talk about highway patrol. Recent large deal that we just announced around our public safety software solutions, specifically redaction was with the California Highway Patrol. It was a multiyear deal servicing tens of thousands of officers. Yes, we look to be able to repeat that.
Now first and foremost, the products that we've sold to them are rinse and repeat. These are highly reliable, highly available software solutions that can immediately be provisioned and spun up for new customers. Yes, we are always -- as we kind of mentioned and Jon Gacek through his presentation today did mention, Veritone continues to penetrate larger and larger agencies out there. And that's the whole game is fight hard to get those initial wins, overservice the companies with great products and great services -- and great service and continue to grow and expand there.
But absolutely, we're thrilled about California Highway Patrol, which is a very large agency. We're looking to expand, not frankly just within that agency, but rinse and repeat with our multiple different solution offerings and be able to take those to multiple different agencies across the country.
Broadbean by Veritone. We talked a lot about that at the very end. Broadbean just is a phenomenal business. It's very profitable. It's got a very large customer base. But to be clear, like the rest of our business offerings, it's a data problem. They are helping solve massive data and data coordination and workflow problems. They are currently integrated with hundreds of different ATS, application tracking systems like the Workdays and the Oracles out there, but they're also integrated with thousands of job boards and their business model is really helping businesses who are looking to hire individuals be able to sift through all those job reqs, find the right job-based advertising and distribute those to thousands of job boards. And then process millions and millions of applicants each and every single month.
So it's a massive data workflow. It's a massive data problem, ripe for obviously how we're applying AI to make that process ever more efficient. We love the business. It's got a very large international customer base and stay tuned. We're going to be rolling out a lot of new features and net new products and applications through the course of the balance of the year going after them.
And also cross-selling. There's -- Broadbean has hundreds already of public safety customers both domestically and internationally. So again, cross-selling our products and solutions across our expanded customer base remains a very important priority for us with clear OKRs. And again, we've already started to do that, and Broadbean is going to be a big part of that cross-selling and growth strategy.
Let's do just a couple more. Back to some of the reorganization stuff that we've been talking a little bit on previous finance calls and earnings calls. We did announce that we are going through major restructuring and really with a concerted effort to reduce our cost structure. As I can report that we are on track, I think we were very clear that we are looking to execute a lot of these reorg and cost-saving initiatives between June and through the end of July, we are on track and we're going to stay disciplined and we're going to get it done.
Again, this is a business that has a great opportunity. It's got a very large installed revenue base, thousands of customers, but we've got to rightsize our cost structure. Veritone, obviously, should be in a different position. We're obviously not happy with the way that the stock has been performing for those -- the investors who are listening to this. But as everybody's seen here today, we have great technology, state-of-the-art technology. We have thousands of customers, very engaged customers. And we got to fix -- and we have been, but we've got to fix the other areas of the business.
As we touched on before, we've deleveraged the business significantly coming from an aggregated total debt load of well over $200 million in the past. We've brought that down significantly. But again, there's more work to be done, and we're going to get it done.
So again, I want to leave here is, first, what you've seen today is awesome, it's brilliant and exciting. I'm thankful for my team. I'm thankful for the customers who again, lent their voice to support us. And this is a very passionate group that's running this business top-to-bottom and we're going to get it done and Veritone is going to be a stalwart in the AI and data ecosystem for the years to come.
So with that, I'm going to leave -- sign off here. Again, this will be available for replay later and we're also going to be leveraging a lot of this great content and chunk it up into different campaigns as well. Thank you for your time, and we'll talk to you soon. Bye-bye.
Veritone — Q1 2026 Earnings Call
1. Management Discussion
Welcome to the Veritone Inc. First Quarter 2026 Financial Results Conference Call. [Operator Instructions] Please note this event is being recorded.
I would now like to turn the conference over to Cate Goldsmith, Investor Relations. Please go ahead.
Thank you, and good morning. Before the market opened today, Veritone issued a press release announcing results for the first quarter 2026 ended March 31, 2026. The press release and other supplemental information are available on the Investor Relations section of Veritone's website. Joining us for today's call are Veritone's President and Chief Executive Officer, Ryan Steelberg; and Chief Financial Officer, Mike Zemetra, who will provide prepared remarks and then open the call for a live question-and-answer session.
Please note that certain information discussed on the call today, including certain answers to your questions, will include forward-looking statements. This includes, without limitation, statements about our business strategy and future financial and operating performance. These forward-looking statements are subject to risks uncertainties and assumptions that may cause the actual results to differ materially from those stated. Certain of these risks and assumptions are discussed in Veritone's SEC filings, including its annual report on Form 10-K. These forward-looking statements are based on assumptions as of today, May 12, 2026, and Veritone undertakes no obligation to revise or update them.
During this call, the actual forecasted financial measures we will be discussing include non-GAAP measures. Reconciliations of these measures to the corresponding GAAP measures are included in the press release we issued today.
Finally, I would like to remind everyone that the call today is being recorded and will be made available for replay via a link on the Investor Relations section of Veritone's website at www.veritone.com.
Now I would like to turn the call over to our President and Chief Executive Officer, Ryan Steelberg.
Thank you, Cate, and thank you, everyone, for joining us today. As we look at the AI landscape today, one thing is becoming increasingly clear, the AI and data economies are now converging at scale. Over the last several weeks alone, the world's largest technology companies have continued to significantly increase their AI infrastructure investment plans, reinforcing the accelerating demand for AI compute, orchestration and high-quality training data. At the same time, enterprises, governments and content owners are increasingly recognizing the strategic value of the proprietary data assets, particularly unstructured data, including audio and video. This is exactly where Veritone is positioned.
Through aiWARE, Veritone Data Refinery and our market-leading applications, we sit at the intersection of both sides of the AI data economy. We help organizations transform unstructured data into AI-ready, semantic and monetizable assets while simultaneously supporting the growing demand from large hyperscalers and model developers for differentiated training data. Further validating these efforts and momentum, we are thrilled to announce that in Q1, both Google and NVIDIA have also now signed with Veritone for VDR data services. Our near-term pipeline for VDR has now expanded to nearly $70 million, helping to reinforce our full year 2026 guide of $130 million to $145 million.
In addition to VDR, we continue to strengthen our market position through strategic partnerships and customer expansion across our core growth areas. We announced a multiyear strategic agreement with Oracle to scale aiWARE, VDR and our award-winning applications on Oracle Cloud infrastructure, further strengthening our infrastructure scalability and enterprise AI capabilities across both commercial and public sector markets.
We also recently announced a new collaboration with the Washington Post to help unlock and monetize its news archive through our licensing and AI data solutions platform. In our Hire division, now rebranded as Broadbean by Veritone, we continue to expand our enterprise and government footprint, including the recently announced appointment with the U.K. Department for Work and Pensions to support workforce recruitment, modernization initiatives. And in the public sector, we continue to see growing demand for our AI-powered investigative and evidence management solutions across federal, state, local and international markets.
Before I discuss the business highlights in more detail, I want to provide an update on our focus and path to profitability. On our last call, we stated that we expected to achieve operating profitability as early as Q4 2026 driven primarily by the scaling of VDR and the continued growth in public sector. Today, we are taking another important step forward by proactively lowering our breakeven floor by approximately 30%.
We are simply not waiting for revenue growth to catch up to our cost structure, we are actively improving the operating efficiency of the business and capitalizing on the operating leverage uniquely enabled by the aiWARE platform that we have spent years building. What this demonstrates is a very clear bridge to profitability that is not dependent on aggressive growth assumptions, even under moderate revenue scenarios, Veritone is positioned to achieve operating profitability as early as Q4 2026. As VDR continues to scale and public sector momentum accelerates, the operating leverage and earnings power of the aiWARE platform is becoming increasingly evident.
With that broader backdrop in mind, let me now turn to the progress we are seeing across our core business segments, beginning with Commercial Enterprise where we continue to see growing demand for our AI software, data solutions and content monetization capabilities. Our Commercial Enterprise division maintained its robust 2025 momentum throughout Q1. During this period, we achieved a significant milestone by finalizing the landmark collaboration with the Washington Post to make their news archive universally accessible.
We further advanced the AI supply chain by introducing the Veritone Data Marketplace, providing scalable access to high-quality AI-ready training data sets. Additionally, the commercial team secured an extension with U.S. soccer utilizing our AI-driven products to enhance the monetization of both their archival and current footage.
Staying on the topic of sports. There is no better place for our product applications and agent workflows. Q1 leaning into early Q2 remains a landmark period for our sports vertical. We have successfully live ingested, tag and annotated thousands of hours of live sports data for many of the largest sports right holders in the world, including NCAA March Madness and the prestigious Masters Golf tournament.
By making the data readily available and accessible organizations are able to drive greater experience for their fans and sponsors alike, while maintaining control of their valuable IP, the content produced in these prestigious events. As the value of live sports continues to rise, the foundational understanding required to process content in near real time is a necessity. Our technology allows both rights holders like USTA, Big Ten and NCAA to not just deploy our applications and workflows across the organization but also instantly turn a live broadcast into a searchable monetizable and extensible library. Veritone is ensuring that live sports remains the most valuable inventory in the media ecosystem.
In the Commercial Enterprise, we closed 224 software and license agreements in Q1, including renewals and expansions across sports, media, entertainment and brand licensing. The strategic importance of these wins is not just a number of agreements, it is the expanding archive base, right cleared content relationships and monetization engine they create for VDR, VDM and aiWARE.
We are consistently expanding and refreshing our client portfolio, partnering with prestigious organizations such as CNN, the Smithsonian, Geico and the President Barack Obama Foundation. Our influence across the market continues to strengthen through collaborations with other leading brands, including Titleist, Tubi, Game Show Network and Bauer Media. As we look ahead, we plan to leverage our market-leading AI technologies, extensive expertise and blue-chip client roster to capture the next wave of potential customers to provide material growth for our commercial group.
We are undergoing a strategic reimagining of our vertical applications. Historically, our products and services were architected to address the complexity of the world's largest media entertainment, sports and news organizations. We are now leveraging the same tech stack to create optimized versions of our platform and applications that are accessible to organizations of all types and sizes. This is a significant democratization enabled by our technology.
Over the next few quarters, we are introducing solutions and pricing tiers designed specifically for these expanded verticals and segments. By offering the same best-in-class AI applications and agentic workflows in a more accessible package, we are greatly expanding our addressable market while maintaining our core high margins. A primary driver in this effort is Veritone's cloud-native digital asset management platform or digital media hub.
We are positioning Digital Media Hub as the central audio, video and image repository where mid-market, SMBs, city councils, marketing departments, schools and even individual creators can now leverage the same AI sophistication and dynamic workflows previously reserved only for the largest firms such as CBS News and the NCAA. We look forward to continuing to update you on our progress here in future calls.
Turning to our Hire division, Broadbean, delivered solid Q1 performance despite continued hiring market headwinds. The business met its Q1 revenue plan remained cash flow positive, added 42 SaaS clients globally and expanded in government and enterprise markets. The U.K. Department for Work and Pensions win is a strong proof point with Broadbean being supporting recruitment workflows across a large international public sector environment.
Our Global Media Services unit continued its double-digit year-over-year growth trajectory in both clients and revenue and expanded its business in North America. In Q1, we signed market key new clients, including the Department for Work and Pensions and 3 other government agencies in the U.K. Ministry of Justice, DEFRA and the Home Office. In addition, [indiscernible] in the U.S. and Arano in France. In total, we added 42 new SaaS clients globally.
On the Partnership's ATS front, we had significant milestones with all 3 global human capital platform leaders, Workday, Oracle and SAP. Our Workday partnership focus keeps delivering. We signed 24 new common clients in Q1, in line with our goal to sign 100-plus new clients this year and accelerate our new logo wins from this client ecosystem to over 50% year-over-year.
Our onboarding team is receiving Workday training and certifications in Q2 to improve our ability to onboard and activate new clients at scale. More importantly, we released the alpha version of our new Workday job management integration, which will enter beta in Q2 with an expected general release in Q3. We also completed the preparation of our SAP partnership agreement, which was signed in early Q2. At the same time, our Veritone group collaboration with Oracle is strengthening, and we released Oracle integration updates that improve clients, interface and campaign tracking.
Other highlights include the successful beta and expected Q2 release of our job acceleration feature on the programmatic advertising platform, which creates a unique self-service feature that allows clients to fund individual job campaigns and track candidates to specific high-priority roles. As we look ahead, we are unveiling our next-generation job management modules to more clients and continuing our groundbreaking agentic AI Broadbean framework with a Q4 alpha release target date. This isn't just an upgrade. It's a productivity revolution for our 30,000-plus monthly Broadbean users.
Moving on to Public Sector. I'm proud to report that we are off to a strong start in 2026 characterized by material growth and activation across the entire government landscape. We are seeing a powerful convergence of demand in both federal and [ SLED ] markets, culminating in a 69% year-over-year quarterly growth rate.
Our Veritone applications and iDEMS suite are doing more than just improving workflows, they are revolutionizing the very nature of productivity and efficiency for our public safety customers and end users. We are enabling mission-critical outcomes and materially driving up case closure rates that simply were not practical or even possible before Veritone.
Our integration with Thorn Detect is a strong example of how we continue to enhance iDEMS with trusted AI capabilities that support investigator safety and help agencies accelerate the identification and handling of harmful material. This ability to continuously evolve our applications as AI matures has dramatically expanded our total addressable market across SLED, higher education, Fed SIV and international agencies.
Security and data sovereignty remain critical focus areas for Veritone. aiWARE and iDEMS are engineered for the world's most sensitive environments, whether deployed in top-tier government cloud or entirely network isolated air gap environments, we meet the strictest sovereignty requirements. This is sure that any agency regards of its security posture can utilize our tools to support its most vital missions.
Furthermore, our recently announced partnership with Oracle allows us to scale this to an even higher level of performance in global security, providing us with a distinct competitive moat. Unlike the closed ecosystems of many of our competitors, aiWARE is built completely as an open platform. Our unique ability to ingest data at massive scale while integrating seamlessly with virtually any application or data set without vendor lock-in continues to differentiate Veritone in the market. This positions Veritone as a foundational AI infrastructure partner and the infrastructure of choice for federal AI modernization and the Department of War's AI-first strategy. This open architecture is also a key advantage for our SLED customers and strengthens our ability to collaborate with partners delivering complementary technologies and capabilities.
These foundational elements are translating into significant high-value wins. This quarter, we achieved deep integration within the Air Force OSI to support their [indiscernible], [indiscernible] and counter-espionage requirements and we expect the Air Force's use of aiWARE and our applications to greatly expand and accelerate in 2026 and beyond.
Additionally, another Department of War agency, the Defense Logistics Agency, went live with its own private instance of aiWARE and iDEMS, providing the basis for growth within the JPS Trust modernization program. Despite some operational government operational delays, I'm excited that we are back on track and moving aggressively forward with several of our marquee land-and-expand federal accounts. Our public sector pipeline currently sits at record levels.
We are seeing significant traction with the DOE's Project Genesis, the Department of Homeland Security and multiple form state and federal agencies. Our Q1 wins, which include a major U.S. university, top 5 shares department and several major U.S. city police agencies and state highway patrols, validate one simple truth: Veritone is a trusted AI partner for the public sector.
Finally, we are aggressively expanding our technical and partner reach. Our recently announced partnership with the Cold Case Foundation is a strategic force multiplier and demonstrates the same thing, using AI to unify decades of disparate investigative data and help agencies surface connections that would otherwise remain varied. This collaboration will not only accelerate our product capabilities, but will expose Veritone's technologies to entities across the U.S. and the globe as they partner with the foundation to solve their most difficult cases.
The conclusion is clear. We possess a unique AI native solution that solves the most critical challenges facing public sector organizations today. We are confident that the aiWARE technology stack is the essential foundation that will allow us to continue layering in agentic AI and automation capabilities well into the future. We are energized by this progress and the immense growth ahead.
Overall, we are very pleased with the progress we continue to make in our business. The momentum we are seeing across Commercial Enterprise, Public Sector and Broadbean continues to reinforce the strength and scalability of the Aware platform and our position at the center of the rapidly expanded AI and data economies. Importantly, the combination of an accelerating growth across VDR and Public Sector, together with the operating leverage initiatives we announced today, further strengthens our path to profitability and long-term value creation.
As organizations increasingly invest in AI infrastructure and seek to operationalize and monetize proprietary data, Veritone is uniquely positioned to capitalize on these long-term secular trends. We remain focused on disciplined execution, scaling our platform and data ecosystem, expanding strategic partnerships and converting our growing pipeline into durable revenue and profitability.
With that, I'll now turn the call over to Mike Zemetra to review our financial results and outlook in more detail. Mike?
Thank you, Ryan. As we previously discussed on our last call, Q1 '26 results are going to be somewhat in line with the prior year, in large part due to the timing of contractually onboarding several large hyperscalers in mid- to late Q1 '26 and of our Public Sector deals specifically to more pronounced expansions across the federal government and internationally. As I will explain later in my prepared remarks, we do expect VDR to generate its strongest quarter to date as early as Q2 '26 with several potential contract values individually ranging from several to tens of millions of dollars and as a result, we remain confident in our annual revenue guide of $130 million to $145 million.
Before I detail our Q1 performance, I would first like to discuss several important strategic initiatives. First is our recent strategic deal with Oracle announced in Q1 '26. We believe this partnership is a game changer and will initially provide over 20% savings on compute with nondilutive cash-based incentives from Oracle over time to facilitate the future scale and growth in our AI platform, including VDR, and expansion and acceleration of the Veritone Data Marketplace in our public sector.
In addition, we will be able to leverage Oracle's high-performance AI to power our aiWARE platform. This collaboration also allows Veritone's customer base to use AI with a superior price performance, security and data sovereign team provided by Oracle's distributed cloud. We plan to share more details on the progress on this initiative with Oracle as it progresses throughout fiscal 2026.
Second, we've made great strides in securing more digital data with the introduction of Veritone Marketplace, and further expanded the supply of digital content with adding many petabytes of readily accessible data from everything from cruise lines to fast food and major furniture outlets through key partnerships entered into at the close of fiscal 2025.
Why is this important? Every hyperscaler has specific requirements depending on what exactly they are trying to train their AI models on. For multi-camera angles of point-in-time situations to specific movements and actions in sports and real life to 4K nature videos, all with hundreds to many thousands of hours of bespoke, indexed and curated digital content for a single instance of AI training. Our VDR platform powered by aiWARE is uniquely positioned to solve this need at the scale and meet time lines these hyperscalers require.
In fiscal 2026, our goal is to be able to fulfill all of the hyperscalers needs in video and audio digital content and we believe that with partnerships we have forged through today and the build-out of the Veritone marketplace, our competitive moat just got larger in our ability to secure the necessary content and time frames of the hyperscalers improved substantially as compared to 2025.
Lastly, we are in the process of reevaluating our cost structure and believe we have the ability to unlock substantial savings of up to 30% in existing operating expense as early as the end of Q2 2026. In part to improve our operating margin but more importantly, to subsidize areas where we need to continue to invest for growth. This initiative reinforces our target of operating profitability as early as Q4 2026. We plan to share the details of our plan in the coming months.
During my prepared remarks, I will discuss our Q1 year-over-year performance in KPIs, balance sheet and liquidity position and provide updates on our financial progress in Q2 2026 and fiscal 2026 guidance.
Now I'd like to discuss our Q1 2026 performance in more detail. Q1 revenue was $20.3 million, down $2.2 million from Q1 2025, driven by Managed Services, which was down $1.5 million or 19.2% from prior year. Overall, our Software Products & Services was relatively flat year-over-year, including Broadbean by Veritone, which was down slightly year-over-year despite a very challenging macro environment across hiring in Q1 2026.
Note that Q1 results were tempered by the fact that deals with several large hyperscalers, including Google and NVIDIA, were delayed and not signed until mid Q1 2026. As a result, several larger VDR deals from newer hyperscalers were pushed into the remainder of 2026 as opposed to Q1 2026. I'm also happy to report that we currently have a near-term VDR sales pipeline and bookings of over $68 million, up over 150% from our guidance in mid-2025 and over 500% for our guidance a year ago. In addition, we have over $20 million of active sales pipeline, which could all close in Q2 2026 and includes several deals in the many to $10 million range. As I will discuss in more detail, Q2 2026 could be one of our best quarters on record. Assuming these larger deals close and at a minimum, 2026 revenue could be in the range of $25 million to over $30 million or in excess of 25% growth year-over-year at the high end.
Turning to the Public Sector, which grew 69% year-over-year, driven by the continuing rollout of larger deals executed in the first half of 2025, including the Department of Defense and certain larger public safety agencies. We did experience some delays in our larger federal deals, including the planned rollout of OSI but expect these deals to resume their planned rollouts in Q2 2026. Given these delays, which were partly driven by resource and prioritization across the DoD, we expect the public sector to continue to grow throughout fiscal 2026. However, this growth should be more pronounced beginning in fiscal 2027 with the expected rollout of iDEMS across the DoD, including OSI.
Turning to Q1 Managed Services, which decreased $1.5 million year-over-year, principally due to a decline in representation services, coupled with the year-over-year decline in content licensing due in large part to the timing of certain licensing revenue pushed to Q2 2026 and slight declines year-over-year from the NCAA March Madness. We expect this negative trend to reverse as early as Q2 2026 as we're already seeing improvements in our representation and licensing services in Q2.
Turning to key performance metrics across our software products and services in Q1 2026. ARR of $64.2 million, up 9% from Q1 2025 of $58.7 million. The improvement in the ARR was largely driven by increased consumption-based revenue from onetime software revenue or DDR and stable recurring SaaS-based revenue. Overall, ARR from consumption-based customers increased 50% year-over-year. Recurring subscription-based SaaS customers were flat year-over-year. As of Q1 2026, 73% of our ARR was from subscription versus consumption-based customers as compared to 81% in Q1 2025.
New bookings of $16 million, up slightly year-over-year. Gross revenue retention continued to be above the 90th percentile. In total, Software Products & Services customers of 2,897 was down 8% year-over-year, predominantly from our commercial enterprise sector, which includes lower consumption-based customers across broad beam by Veritone, principally due to a macro-driven churn from smaller customers as we focus on larger ARR opportunities. As the hiring market continues to struggle, we expect this trend of smaller ARR customers to continue throughout fiscal 2026.
Q1 GAAP gross profit was $12.7 million as compared to $13.7 million in Q1 2025. The decline was primarily driven by the decline in revenue, principally across our Managed Services. Q1 GAAP gross margin of 62.7% as compared to 61.1% in Q1 2025, an improvement of 166 basis points. Excluding noncash depreciation and amortization expense, Q1 2026 non-GAAP gross margin was 67.7% as compared to 65.1% in Q1 2025, an improvement of 260 basis points.
Note that we continue to forecast 2026 non-GAAP gross margins to be closer to 60% to 65% throughout the year, which will vary depending on the timing and mix of VDR revenue in a given period. Q1 operating loss of $19.4 million improved by $2.2 million or 10% year-over-year, primarily driven by lower operating expenses across G&A due in part to head count efficiencies coupled with lower professional and banking fees year-over-year.
Net loss was $19.5 million, a slight improvement from $19.9 million in Q1 2025. Driving this year-over-year improvement was the $2.2 million improvement in operating loss and a $2.4 million improvement in net interest expense year-over-year as a result of the paydown and retirement of 100% of the company's senior secured debt in November 2025. And offset by a onetime gain of $3.7 million in Q1 2025 for a change in the fair value of the company's estimated earn-out from the Veritone One sale in Q1 2024. Excluding this onetime gain, net loss would have improved to $4.1 million or 21% year-over-year.
Overall, non-GAAP net loss was relatively flat at $11.9 million as compared to $11.1 million in Q1 2025. The year-over-year variance was mostly driven by lower capitalized software in Q1 2026 as compared to Q1 2025.
Turning to our balance sheet. As of March 31, 2026, we held cash and restricted cash of $15.4 million as compared to $27.7 million at December 31, 2025. The $12.3 million net change in cash reflects: net cash outflows from operations of $11.5 million, principally driven by our non-GAAP net loss of $11.9 million; net cash outflows from investing and financing activities of $1 million, driven by net cash outflows of $0.5 million in capital expenditures and $0.7 million in net share settlement of equity awards. Excluding the $19.9 million capital raise, in Q1 2025, we improved our net cash outflows by over 40% or $8.5 million year-over-year.
Turning to liquidity today. As of March 31, 2026, we held $15.4 million of cash and restricted cash as compared to $16.4 million as of March 31, 2025. Moreover, all of today's cash is unencumbered and free of any restricted debt covenants. Unlike in the prior year, when we had a $15 million minimum cash requirement under our legacy senior secured debt. In addition, we have approximately $45 million of total debt outstanding at March 31, 2026, accruing interest at an annual rate of 1.75% as compared to over $130 million at March 31, 2025, a year-over-year improvement of more than $85 million in debt principal and more than $13 million reduction in annualized debt carry costs.
This improved balance sheet allows us to focus on reaching our growth potential to meet the market opportunities ahead of us. That said, we will continue to be opportunistic with continued focus to further improve our current liquidity position and balance sheet as well as the previously discussed plan to reduce our consolidated operating expenses up to 30% over the next several months. At March 31, 2026, we had 93 million shares issued and outstanding and 2.5 million warrants outstanding to certain legacy term debt holders.
Now turning to full year 2026 guidance. As a reminder, we will only be providing financial guidance for the full fiscal year 2026, given the complexity of forecasting the timing of VDR deals which tend to be larger in dollar value and entirely consumption-based, coupled with the complexity of government decision-making, especially during the war time. That said, and as I explained earlier, we are seeing a large backlog of more than 20 million in active VDR deals that could close in Q2 2026 and we have given a soft range in Q2 2026 revenue to be between $25 million to in excess of $30 million, which at the high point, would be a year-over-year improvement of over 25%.
As a backdrop to our annual guide, our Software Products & Services revenue pipeline and long-term outlook continue to be at all-time highs. More specifically, we continue to see strong demand across commercial VDR in the public sector. In 2026, hyperscalers, including Google, Amazon, Meta, NVIDIA, which are all current customers, have individually forecasted to spend hundreds of billions of dollars in fiscal 2026 to progress their AI initiatives, including further investment into their large language models.
According to Fortune Business Insight, the global AI training data set market size was valued around $3.6 billion in 2025 and is projected to grow from $4.4 billion in 2026 to $23.2 billion by 2034, a CAGR of 23%. From a model training perspective, we believe we are well positioned to exploit this potential revenue opportunity at the forefront of this future spending with our VDR solution as the more mature models are now investing heavily in rich video data where we believe Veritone has a clear competitive advantage. As of today, our near-term sales pipeline in VDR alone is over $68 million and continues to grow.
One of the largest learnings from fiscal 2025 was to improve upon the speed and expand the range of data set availability of content demand from our VDR customers and to improve our ability to deploy those data sets quickly. As previously discussed, we were unable to secure millions of dollars of potential VDR revenue in fiscal 2025, simply due to the fact that we cannot readily source the content requested from our VDR customers in a timely fashion.
To address this in 2026, we are focused on the most efficient and cost-effective ways to increase the supply of data, and we will also be investing in the engineering and product around VDR, including Veritone Marketplace where our aim is to deepen our competitive moat with exclusive access to thousands of more data providers. As previously discussed, we now have access to partners who control more than 50 million hours of valuable video data sets.
In Q1 2025, we entered into a highly strategic deal with a third party that locked down universal access to millions of hours of new video and audio data sources including with some of the largest retail, travel, entertainment and fast food providers in the world. We believe these near-term strategic decisions will enable us to continue to grow our VDR revenue in fiscal 2026 and beyond, at or above the current 23% projected CAGR for spending on large language models through fiscal 2034.
In the Public Sector, the market for digital evidence management solutions today exceeds north of $10 billion and is growing at double-digit rates. In fiscal 2026, we are targeting our large Public Sector growth to be between 60% to 70% year-over-year. This growth is forecasted to come from expanded offerings from existing federal contracts, including those with the DLA and OSI and from new international deals across Western Europe. That said, once we begin formally rolling out more instances of items across the broader DoD, including OSI and the DLA, we expect the growth rate to be much higher starting in the first half of 2027.
Collectively, our backlog and sales pipeline across our core AR platform remains in excess of $200 million today. And as Veritone remains uniquely positioned to capture even more opportunity in the data as a currency market, we expect that pipeline and our potential to monetize our trove of tokenized audio and video content to increase further.
On the OpEx side, we are forecasting relatively flat sales and marketing and G&A expenses year-over-year with forecasted spending across these areas as a percentage of revenue expected to show improvements year-over-year. However, they should be down year-over-year beginning in the second half of 2026, following our cost reductions initiative discussed earlier. We are also projecting research and development expenses to be slightly higher year-over-year throughout fiscal 2026 as we continue to invest in and build out our VDR and public sector initiatives, including the Veritone Marketplace and planned new software product features and enhancements in 2026 and beyond.
Including our revenue guide for 2026, we remain on track towards our projected operating profitability as early as Q4 2026. Note that consistent with 2025, we expect revenue to grow sequentially quarter-over-quarter in 2026, with Q1 to be lower in revenue from Q2 through Q4 2026 with progressive growth each quarter. This is partly driven by the public sector, where we see a higher revenue ramp starting late in the first half of 2026 from our existing larger federal deals, coupled with the timing of certain international contracts we expect to announce in the coming year. In addition, and based upon discussion and timing of certain VDR deals and the delayed signing of several large hyperscalers to late Q1 2026, we expect to start seeing a more pronounced revenue ramp in VDR starting in Q2 and throughout the second half of 2026.
The key risk to our revenue projections are the consumption-based nature of VDR, coupled with the timing of government-based contracts and decision-making. In addition, the visibility into our VDR pipeline is typically 2 to 3 months in advance of delivery and decision-making on the nature and volume of content they change depending on the customers' need and anticipated impact on the training models.
More specifically, in fiscal 2026, we are maintaining our previous guidance of revenue to be at $130 million to $145 million, which at the midpoint represents a 49% increase year-over-year. We are expecting the public sector revenue to continue to grow over 60% year-over-year and the remaining growth to come from our Commercial Enterprise sector, predominantly from VDR. Our Broadbean by Veritone products and services are included in this growth, and we expect Broadbean by Veritone to be slightly down year-over-year given the current macroeconomic hiring environment. Our Managed Services is expected to be up year-over-year by 10% to 15%, principally due to the recent improvements we are seeing on the representation side of our business.
We expect gross margins to fluctuate between 60% to 65% and driven by the forecasted mix of revenue in the period and non-GAAP net loss to be between $13.5 million to $22.5 million, which at the midpoint represents a 56% improvement year-over-year as compared to fiscal 2025. The change is reflective of the timing shifts in revenue, the previously discussed planned increase in research and development, coupled with the compressions in gross margins due to the mix of VDR in 2026. As previously discussed, we believe we are still on track towards operating profitability, which at the earliest would be Q4 2026.
Before closing the call, I'd like to remind everyone listening that Veritone will be in New York City this week attending Needham's 21st annual technology, media and consumer conference. That concludes my prepared remarks.
Operator, we would like to now open up the call for questions.
[Operator Instructions] The first question comes from Joshua Reilly with Needham.
2. Question Answer
All right. Great. I have a few. Maybe just starting off on the expanded digital media hub opportunity. Can you give us some more color around what verticals you'll be targeting there and the timing of the launch for that offering?
Josh, yes, we're excited about this one. Right now, as we kind of detailed on the call, the digital media hub was primarily and originally built and designed for, I'll say, more complex enterprise-level integrations and onboarding of data for some of the largest media companies. And although, obviously, we're very sticky with those customers. And again, we're in no way going to be compromising our service attention to them. But what we're going to be introducing here just over the next couple of months, and again, to be very clear, over the next couple of months, not a few quarters, is an ability to preserve that same level of market-leading DMH capabilities but to allow us to almost provide a near self-service onboarding solution for these entities. And so that is going to allow us to more seamlessly onboard individual teams, even individual creators, but also corporate enterprises.
What we are all seeing is almost every company is a media company now, meaning they are creating unstructured audio video they need a more effective way of storing those files above and beyond just, I'll call it, more traditional like say, generic storage facilities, frankly, like a Google Cloud or, say, like Google Drive or a Box or something like that, they need the proficiency and expertise that Veritone has been providing our media and entertainment customers for years. And so again, we believe that this is going to greatly expand the vertical focus that's going to span between smaller businesses but also corporate enterprises who are sitting on a tremendous amount of audio, video and other structured data, and we do expect to launch this renewed solution just in here in the next couple of months.
3
Got it. All right. On the Oracle agreement, can you just remind us the timeline for integrating the OCI, how you'll be marketing to customers the use of that and then maybe how are you going to leverage that as a sales tool and a little bit of a competitive advantage going forward?
So first is we are very near starting to do some porting of -- I think we're well along the path of integration. It's been a great collaborative working environment, working with their team. To be clear, what's making all this possible is our ability and our success of transforming aiWARE to a complete platform-agnostic solution. So our ability to make this transition finally and start working with Oracle really starts with us, right, and our -- and what we've done in terms of transition in Kubernetes and creating a more containerized top-to-bottom offering of aiWARE and applications.
That being said, the Oracle team has been fantastic. And we are looking and we are doing integrations, and we're looking to actually start moving some major payloads over to them as early as early August. That being said, we have already started the co-selling opportunity with them. I've been invited and I'll be speaking for example, the keynote in June with their national sales kickoff and we expect to really be working in a very collaborative operating model with them as they're going very aggressive across several verticals. Obviously, media entertainment, sports and news is a big one where obviously, Oracle is very motivated to continue to drive, but also across the public sector as well.
So again, I think we're on track or even ahead of schedule in terms of technical integration and planning to start moving initial, I'll say, storage payloads over first and then compute payloads. Number 2 is we're already working and working together on co-selling executions. And then third ultimately is -- and once we are up and running, we do believe that these incremental cost savings based upon due to the efficiencies of how we're going to be running at a lower cost structure with Oracle Cloud will be passed on to our customers, which again, I think is going to be resulting in a more competitive offering than our competition.
Got it. That's helpful. And then as we think about the guidance of $130 million to $145 million in revenue for the year, if you could just lay out some of the key variables plan to hit that would lead you to hit the high end of the guidance or exceed the number? And what -- I'm assuming it would primarily be driven by VDR and Commercial Enterprise deals, but any additional details on how you're thinking about the setup of the guidance?
I think for sure, it's going to be dominated by VDR. As Mike kind of articulated in more detail, not just I'll say the overreaching pipeline, but kind of the short-term visibility we have on multiple different deals. Obviously, we were hopeful, as we've communicated a few times to bring some of the major -- the additional hyperscalers, Google and NVIDIA on board in Q4. Those were delayed until February of this year. But the bottom line is we finally got those done and we're servicing orders now. So we're really excited about that opportunity. So again, VDR will lead and be the bellwether to achieve and hopefully surpass even that the high end is an opportunity.
Public sector, as we mentioned on the call, we are completely unlocked now with a couple of our bellwether accounts that we landed last year, the DLA and Air Force OSI, and we expect those to considerate. We're on track again, they actually had -- there was actually some personnel changes over there. We're past those blockers. And so as we have articulated, we're up and running and live with DLA. Again, DLA, the logistics agency manages and staff all of our bases around the world, and we're looking to greatly expand our rollout through the balance of '26 and beyond for DLA and also OSI. So I think those will be 2 bellwether leads that are going to help substantiate and hopefully get us to the high end of our guide by the end of the year.
Got it. One last question for me is on the Public Sector business, curious, when you're selling to these customers, how much is it a budget of -- getting budget allocated a factor relative to just understanding the capabilities of what your platform can do for them? And how does that impact the timeline of closing deals with both U.S. federal customers and state and local in terms of awareness relative to budgets?
Yes. Great question. So let's start with the -- let's break them apart. So for state and local enforcement, I think the key is being ready. So like everybody, they'll have different cycles where certain opportunities for, okay, I'd say, larger reviews of platforms and systems come up for renewal. So the key is to make sure that you have those relationships, you are communicating with the procurement officers at times even the chiefs or the captains at the respective areas. So it's important for Veritone to continue to build up our brand relationships with these groups, which I think we're doing a great job at.
Second is that when these opportunities come arise is how can you enter or land an additional contract with large agencies such as, again, which we've kind of teed on larger entities in California or New York whether they're sheriffs or police agencies. The key is having and what makes kind of our offering so unique is we can land with one application. We don't need to come in and have them buy the entire stack of all the offerings of iDEMS in every single application. For example, they may have budget already available out -- potentially out of cycle for just programmatic redaction, right, document and audio video redaction or another agency in their homicide division may have immediate budget for investigate, right, trying to accelerate and speed up case closures.
So again, the key is being ready when they do have a budget -- when it comes up for, I'll say, scheduled cycles, but also being opportunistic that if they do have -- and then they vary, but let's just say, hypothetically, a budget threshold without having to go to City Counsel is $30,000 or less per year. I'm just giving the hypothetical. We do have offerings. We have offerings because, again, everything is kind of built on aiWARE, we can land right at low entry cost points and then scale up with those entities and we can actually land in different departments, not just from landing an entire police agency, but again, if they have budgets in their records department for redaction or in their homicide division for an investigate, that's another way, makes us very unique in that capacity as well.
So again, on the federal side, again, it's all across the map. Again, I think what we've shown here is making sure that we are continuing to be disciplined and bidding on every single RFI and RFP comes out that we think is relevant to aiWARE applications, which we are doing. But it's also aligning yourselves directly with the mission leaders. As we mentioned on the call, when we're working with the Department of Homeland Security and Project Genesis, those are us working with individuals directly. It's important that you start to build those personal relationships in addition to going through the [indiscernible] and others for, I'll say, the more traditional procurement bidding an RFI and proposal process. So I would say it's probably even more involved on the federal front. But obviously, you're starting to see the fruits in which we discussed a little bit of finally landing some of the bellwether accounts with the Air Force and DLA and continue to build those and sort of make sure we're continuing to have the right products and services and service layer to scale those when they're ready to scale up.
[Operator Instructions] this concludes our question-and-answer session. I would like to turn the conference back over to Ryan Steelberg for any closing remarks.
Thank you for joining today. Veritone is poised for strong disciplined growth through the balance of 2026 and beyond by securing additional leading hyperscalers under contract and fueling a robust VDR pipeline, bolstered by our strategic Oracle partnership, we have solidified our role as the essential infrastructure for next-generation AI training data and enterprise scale deployment. Our momentum and pipeline within the Public Sector, coupled with the resilient performance of our Broadbean hiring division, reinforced our high level of conviction.
We are not just expanding our growth in reach. We are resharpening and we are sharpening our execution. The proactive measures we are taking to streamline operations and optimize our cost structure through internal reorganization, automation and AI initiatives are already yielding results. We expect to see these efficiencies and productivity gains accelerate starting in this current second quarter, firmly underpinning our path to operating profitability as early Q4 2026.
Veritone is leaner, faster and uniquely positioned to capture the massive AI opportunity ahead. Thank you for your continued support as we deliver on this mission. Have a good day.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
Veritone — Q1 2026 Earnings Call
Veritone — Q4 2025 Earnings Call
1. Management Discussion
Welcome to the Veritone Incorporated Preliminary Unaudited Fourth Quarter 2025 Financial Results Conference Call. [Operator Instructions] Please note, this event is being recorded.
I would now like to turn the conference over to Cate Goldsmith, Investor Relations. Please go ahead.
Thank you, and good afternoon. After the market closed today, Veritone issued a press release announcing its preliminary unaudited financial results for the fourth quarter and full year ended December 31, 2025. The press release is available on the Investor Relations section of Veritone's website.
Joining us for today's call are Veritone's President and Chief Executive Officer, Ryan Steelberg; and Chief Financial Officer, Mike Zemetra, who will provide prepared remarks.
Please note that certain information discussed on the call today will include forward-looking statements. This includes, without limitation, statements about our business strategy and future financial and operating performance. These forward-looking statements are subject to risks, uncertainties and assumptions that may cause the actual results to differ materially from those stated. Certain of these risks and assumptions are discussed in Veritone's SEC filings, including its annual report on Form 10-K. These forward-looking statements are based on assumptions as of today, March 26, 2026, and Veritone undertakes no obligation to revise or update them, except as may be set forth in a subsequent press release related to the company's audited Q4 and full year 2025 financial results.
During this call, the actual and forecasted financial measures we will be discussing include non-GAAP measures. Reconciliations of these measures to the corresponding GAAP measures are included in the press release we've issued today.
Finally, I would like to remind everyone that the call today is being recorded and will be made available for replay via a link on the Investor Relations section of Veritone's website at www.veritone.com.
Now I would like to turn the call over to our President and Chief Executive Officer, Ryan Steelberg.
Good afternoon. I'm excited to provide an update on our preliminary Q4 financial results, discuss the strategic deal announced today with Oracle and provide more strategic insight into some of our newer and exciting business opportunities, including our material progress with certain hyperscalers. Because we are discussing preliminary results, we will not hold a question-and-answer session following our prepared remarks today.
Our preliminary Q4 results, which we furnished today have a fairly wide revenue range of between $18.1 million to $30 million. The range is almost entirely driven by a single transaction, which we completed and signed in Q4 2025. The transaction was a complex multiparty nonmonetary transaction, which included an on-prem sale of our aiWARE stack and application software at a price of $12.9 million. In exchange, we received certain intangible rights and direct and preferred access to a significant number of customers, who control a variety of digital data sets for future use in VDR and AI model training at a fixed revenue share of 50%, which is a significant improvement over our current margin on VDR today.
While the contracted price of the software was $12.9 million, from a pure GAAP accounting perspective, it is very challenging to arrive at the appropriate fair value of the sale as the realization of the data rights is prospective, considering the relatively new, albeit fast-growing market of data sales and VDR. As a result, the standalone selling price of the software could be discounted substantially from the revenue perspective. It is important to note that the $12.9 million price was included in our previous range of Q4 revenue guide, but it could end up in the lower end of this range, it is very binary. That said, we are actively working with internal and external resources to ensure the value is fairly reflected in our Q4 2025 results, which we expect will be completed by the time we file our 10-K.
Irrespective of the final GAAP accounting conclusion, I would like to explain why this deal is so strategic for Veritone, and why we are confident that we will ultimately turn this $12.9 million face value active deal into something far greater. Veritone currently holds exclusive and nonexclusive rights and relationships to monetize some of the most valuable and iconic sports, entertainment, public safety and news data sets from content and IP owners, such as the NCAA, CBS News and other franchise customers. However, the demand for VDR-specific content has increased substantially, and the content demands have varied widely. We do not have universal access to unlimited amount of data suppliers under contract with Veritone today.
Case in point, in fiscal 2025, we were forced to turn down more than $10 million worth of bona fide data orders because we could not source the volume or specific type of content or data in the time frames our hyperscaler and model developer partners required. Hence, why this strategic deal is part of the solution going forward in addition to our normal business development efforts. As a result of this deal, we now have preferred access to potential VDR customers, who control more than 50 million hours of monetizable data sets today. To put this into perspective, the entire marquee catalog of the NCAA video library is less than 1% of this size. And just to cite one example of these new customers from this transaction, which we recently signed an agreement with, is a major fast food franchisee to provide Veritone with access to their catalog of multi-camera video surveillance footage, data that is in high demand by hyperscalers for frontier and world model development. Our forecasts have conservatively estimated the overall library of data sets from this transaction for potential VDR customers could generate over $100 million in VDR revenue over the next 3 years.
In addition, we have a fixed margin on this data that is significantly better than our historical VDR margin. While the corresponding revenue may ultimately recognize over time from an accounting perspective, we now have access to a significant amount of valuable data sets that can be monetized through our VDR platform with no upfront cash expenditure to obtain them. We expect to begin monetizing this data set as early as Q2 2026. I know I have spent a lot of time discussing this transaction, but we want our investors to have a detailed understanding of the situation as well as the significant opportunity.
Next, and I am so excited about this, I would like to introduce and discuss the groundbreaking agreement we just announced with Oracle, a deal that has been in the works for almost a year. The Oracle deal is a multiyear strategic partnership to accelerate the deployment of Veritone's aiWARE platform, application and data services via the Oracle Cloud Infrastructure, or OCI, with built-in and substantial financial cash incentives that allow Veritone to scale its cloud infrastructure at a more efficient cost for compute and storage. Under the terms of the agreement, Oracle Cloud Infrastructure will become the cornerstone of Veritone's next generation of AI solutions for commercial, public sector and high-growth Veritone Data Refinery markets. As the demand for scalable and secure AI infrastructure reaches unprecedented levels, Veritone will leverage OCI's high-performance AI super clusters to power its aiWARE platform and data solutions. This partnership ensures that Veritone's customer base can harness the transformative potential of AI with superior price performance, security and data sovereignty provided by Oracle's distributed cloud.
Signing and collaborating with Oracle represents a pivotal milestone in Veritone's mission to help enterprises find the truth in their data, and Oracle's financial commitments in this partnership validate our leadership in managing unstructured data and our commitment to providing some of the most robust AI solutions in the market. By migrating critical workloads to OCI, we are unlocking new levels of scalability for Veritone Data Refinery and providing our public sector and commercial customers with the performance and security they require to stay ahead in an AI-driven world. Please check out the joint press release on our investor site to learn more.
On to our core operating business. Over the past two years, we have been on a disciplined journey to realign Veritone around a singular clear vision, reestablishing aiWARE as the essential orchestration and intelligence layer for enterprise and public sector AI and unstructured data. Today, I am proud to announce that, that transformation of Veritone is complete. We have reshaped this organization into a focused platform-driven company, and we are now executing from a position of operational, financial and technical strength. In 2024, we started to reposition the company. In 2025, we validated that model, and today, we are no longer managing through a transition. We have exited non-core assets, we've simplified our operating structure and aligned our resources behind scalable, platform-driven revenue streams. We are now deploying capital, expanding our platform and driving the kind of operating leverage that defines the market leader.
The most significant evidence of our progress is the Veritone Data Refinery or VDR and more importantly, those hyperscale leading customers that we are now serving. What began as a unique platform capability organically built, has evolved into a scaled token production engine that is now powering the world's major hyperscalers and foundational model developers. Our strategy was to convert proprietary unstructured data sets into reoccurring revenue, and that strategy has been validated at the highest levels. We are now actively engaged with under contract too and generating revenue with all major players, including NVIDIA, Amazon, Google and Meta, among others. Now that we have increased our access and supply of rich data and have established contracts with all major hyperscalers, we see a clear opportunity to deepen and expand our engagement across each and every one of these partners.
With hyperscalers expected to spend approximately $700 billion in combined CapEx in 2026 according to S&P, Veritone stands to capture an increasing share of that investment as a leading provider of clean, model-ready training data. On the supply side, we are effectively enabling enterprises to treat their unstructured audio video images and text as a renewable, monetizable asset class to meet this AI demand. As previously discussed, it is imperative that we remain very focused and cost-efficient on data acquisition.
On the VDR supply side, in addition to data sets now available to us as a result of the strategic transaction I detailed above, we continue to sign and expand our portfolio of available data sets through other channels as well as to improve our capabilities to refine, process and prepare those data sets for licensing, distribution and sales. Historically, the sales and representation process has been heavily dependent on business development and manual efforts, which, despite being effective, has limited our ability to significantly accelerate the acquisition and distribution of our data set offerings and portfolio. That changes I'm excited to follow on the announcement we did a couple of weeks ago about the launch of the Veritone Data Marketplace built on aiWARE.
Veritone has officially taken the next step in evolution of the AI supply chain. Leaning into the data economy, we recently announced the launch of the Veritone Data Marketplace, a platform designed to improve and streamline the data ecosystem without compromising on control, transparency or quality. This marketplace is the essential partner to our Veritone Data Refinery. While VDR acts as the tokenization engine that makes unstructured data AI-ready, VDM, the Veritone Data Marketplace serves as the trusted and accredited distribution hub, ensuring those assets are monetizable, transactional and governed. We are particularly excited about the value this brings to both sides of the data licensing market. Rights holders with valuable archives and data sets now has a clear path to monetization with complete asset control. Simultaneously, AI developers gain access to a deep catalog of proprietary data spanning industries from entertainment to human behavior to robotics. These data sets can even be evaluated for metadata density and model fit before acquisition, ensuring they are optimized for foundational architectures.
Previously available only to a limited group of customers, the Veritone Data Marketplace is now available for content owners and AI developers to accelerate responsible AI development. We are proud to lead the charge in sourcing high-quality data ethically and delivering it through a governed, transparent marketplace that meets the needs of the hyperscaler community.
Our public sector division is starting to execute on all cylinders delivering a strong 68% year-over-year growth. This success is built on three clear strategic pillars: First, high-impact applications. Our Veritone iDERMS suite is revolutionizing productivity, enabling mission-critical workflows that simply aren't possible without Veritone. This has dramatically expanded our addressable market across SLED, higher education, Fed SIV and international agencies. Second, unmatched deployment flexibility. aiWARE and iDERMS are designed for the most sensitive environments. We meet the strictest security and sovereignty requirements, whether deployed in government clouds or completely network isolated air-gapped environments. And now with Oracle, we will take that to an even higher level of performance and security, both domestically and globally. And third, a true open architecture. Unlike many of our competitors, aiWARE is a completely open platform, our ability to ingest data at scale and connect with any application or data set without vendor lock-in makes us the infrastructure of choice for federal AI monetization and the Department of War's AI First strategy.
This foundation has led to deep integration within the Air Force OSI and the JPS Trust modernization program. With our pipeline at record levels, our Q4 wins, including a major U.S. University, a top 5 sheriff department and another major state highway patrol truly validates that we are a trusted AI partner for the public sector.
In commercial enterprise, we have successfully operationalized our data to AI flywheel. By connecting proprietary supply or surging AI demands, we built a scalable architecture where volumes drive value. More data attracts more buyers, which directly fuels our margin expansion and relicensing efficiency. The results speak for themselves. In Q4, our licensing team executed 224 orders, growing nearly 10% over the prior year. Our reach is truly global, providing critical media assets to top-tier firms like Google and Goldman Sachs, major studios like NBCUniversal and premier sport entities, including ESPN, the NFL and Tom Brady's Religion of Sports.
This momentum directly feeds our high-margin software business. Software deal volume grew 14% year-over-year to 33 deals in Q4. We are seeing a powerful combination of retention and expansion, renewing core partners like Sony Pictures and SummitMedia, while simultaneously landing new accounts like Snap and deepening our relationships with prestigious events like the London Marathon and Augusta National Golf Club. I'm incredibly proud of our Hire division, now rebranded as Broadbean by Veritone, which delivered yet another strong year. Despite macro hiring headwinds, Broadbean maintained and contributed robust profit margins critical to Veritone's overall growth and success. To appreciate the scale that our Broadbean division manages, in 2025, Broadbean distributed over 7.6 million unique jobs, powering more than 40 million unique job ads. The result, we drove an impressive 132 million engagements in application and clicks directly into our customers' ATS and recruitment systems. Every month, an average of 30,000 unique HR professionals rely on our software to manage their talent acquisition.
Other highlights include our Global Media Services unit, achieving a record-breaking year with double-digit year-over-year net revenue growth. In fact, Q4 was our strongest on record, making the first time we crossed the $10 million threshold for media under management. We've carried that energy directly into 2026. I'm thrilled to announce a major SaaS win with the U.K.'s Department of Work and Pensions. This partnership establishes Veritone as a cornerstone of U.K. Government recruitment, as our software will now power job advertising for the Ministry of Justice, DEFRA and the Home Office.
Furthermore, our first year in the Workday Platinum Partner Program was a triumph, securing 59 new deals, a 30% increase over the previous year. With an expanding pipeline of Fortune and Forbes Global 500 brands, we are just getting started. As we look ahead, we are preparing to unveil our next-generation job management modules and our groundbreaking Agentic AI Broadbean Framework. This isn't just an upgrade, we believe it's a productivity revolution, again, for our tens of thousands of monthly Broadbean users.
Looking forward to 2026. As we enter the year, our focus is simple, disciplined scale. We are focused on converting our $50-plus million VDR pipeline into recognized reoccurring revenue and expanding our public sector deployments. We will continue to allocate capital towards platform expansion, and we'll continue to evaluate selective strategic opportunities and partnerships that strengthen our data and orchestration moat. Veritone has moved past the transition. We have the platform, the partners and the financial foundation to lead the AI-driven data economy.
Thank you. Now I'd like to turn it over to our Chief Financial Officer, Mike Zemetra. Mike?
Thank you, Ryan. Given the preliminary nature of our financial results, I will only be discussing our guidance for fiscal 2026 today as well as a few balance sheet updates. Our software products and services revenue pipeline and long-term outlook continue to be at all-time highs. Specifically, we continue to see strong demand across commercial VDR and the public sector. In 2026, hyperscalers, including Google, Amazon, Meta, NVIDIA and others have individually forecast to spend hundreds of billions of dollars in fiscal 2026 to power their AI initiatives, including further investments into their large language models. According to Fortune Business Insight, the global AI training data set market size was valued around $3.6 billion in 2025 and is projected to grow from $4.4 billion in 2026 to $23.2 billion by 2034, a CAGR of 23%.
From a model training perspective, we believe we are well positioned to exploit this potential revenue opportunity as more mature models are now investing heavily in rich video data, where we believe Veritone has a clear competitive advantage. As of today, our near-term sales pipeline in VDR alone is over $50 million and continues to grow. One of our most important learnings in 2025 was to expand the range of data set availability for our VDR customers and to improve the velocity to deploy these data sets. As Ryan mentioned, we were unable to secure millions of dollars of potential VDR revenue in fiscal 2025 simply due to the fact that we could not readily source the content requested by our VDR customers in a timely fashion. To address this in 2026, we will be focused on the most efficient and cost-effective ways to increase the supply of data, and we will also be investing in the engineering and product around VDR, including Veritone marketplace, where our aim is to deepen our competitive moat with exclusive access to thousands of more data providers.
As Ryan discussed, as a result of our Q4 strategic data set transaction, we now have access to customers who control more than 50 million hours of valuable video data sets, including with some of the largest retail, travel, entertainment and fast food providers in the world. We believe these near-term strategic decisions will enable us to continue to grow our VDR revenue in fiscal 2026 and beyond at or above the current 23% projected CAGR for spending on large language models through fiscal 2034. In the public sector, the TAM for digital evidence management solutions today exceeds $10 billion and is growing at double-digit rates. In fiscal 2026, we are targeting our public sector to grow between 60% to 70% year-over-year. This growth is forecasted to come from expanded offerings under existing federal contracts including those with the DLA and OSI and from new international deals across Western Europe.
Collectively, our backlog and sales pipeline across our core AI platform is in excess of $200 million today. And as Veritone remains uniquely positioned to capture even more opportunity in the data as a currency market, we expect that pipeline and our potential to monetize our trove of tokenized audio and video content to increase further.
On the OpEx side, we are forecasting relatively flat sales, marketing and G&A expenses in fiscal 2026 as compared to 2025 with forecasted spending across these areas as a percentage of total revenue expected to show improvements year-over-year. We are projecting research and development expenses to be slightly higher year-over-year on an absolute dollar base, starting in Q1 and throughout fiscal 2026 as we continue to invest in our VDR and public sector revenue initiatives, including the Veritone marketplace and planned new software product features and enhancements in 2026.
Note that consistent with 2025, we expect revenue to grow sequentially quarter-over-quarter in 2026 with Q1 2026 revenue approximating Q1 2025. This is partly driven by the public sector, where we see a higher revenue ramp starting late in the first half of 2026 from our existing larger federal deals, coupled with the timing of certain international contracts we expect to announce in the coming year. In addition and based upon the discussion and timing of certain VDR deals, including the signing of several large hyperscalers in late Q1 2026, we expect to see a more pronounced revenue ramp in VDR starting in Q2 and throughout the second half of 2026.
The key risk to our revenue projections are the consumption-based nature of VDR, coupled with the timing of government-based contracts and decision-making. In addition, the visibility into our VDR pipeline is typically 2 to 3 months in advance of delivery and decision-making on the nature and volume of content may change depending on the customers' need anticipated impact on its trading models. Given these factors, coupled with the complexity of government decision-making, especially during wartime, we will only be providing financial guidance for the fiscal year 2026, which we plan to update on our next earnings call.
More specifically, in fiscal 2026, we are expecting revenue to be at $130 million to $145 million, which at the midpoint represents a 47% increase year-over-year from the low end of our 2025 preliminary financial range. We are expecting the public sector revenue to grow between 60% to 70% year-over-year and the remaining growth that comes from our commercial enterprise sector, predominantly from VDR. Our Veritone Hire products and services are included in this growth, and we expect Veritone Hire to be flat to slightly down year-over-year given the current macroeconomic hire environment. Our managed services is expected to be up year-over-year by 10% to 15%, principally due to the recent improvements we are seeing on the representation side of our business. We expect gross margins to fluctuate between 60% to 65%, driven by the forecasted mix of revenue in the period and non-GAAP net loss to be between $13.5 million to $22.5 million, which at the midpoint represents a 54% improvement year-over-year at the low end of our preliminary 2025 financial range. The change is reflective of the timing shifts in revenue, the previously discussed planned increase in research and development coupled with the compression in gross margins due to the mix of VDR in 2026. We believe we are still on the path to profitability, which at the earliest would be in Q4 2026 and is highly dependent on the planned compound growth of VDR in the public sector throughout fiscal 2026.
Finally, I want to highlight several material improvements we have made to our balance sheet. In Q4, we retired 100% of our senior secured term debt and repurchased approximately 50% of our then outstanding convertible notes. This has resulted in a 90% reduction in our annual debt carrying costs from roughly $14 million to just $800,000. We closed fiscal year 2025 with unencumbered cash and cash equivalents of $27.7 million, free of any restricted covenants, $45 million and 1.75% convertible debt and 92.6 million shares outstanding. We expect to provide a full financial release of Q4 and the full year 2025 once we finalize our fiscal 2025 results, which we expect to furnish when we file our 2025 annual report on Form 10-K.
That concludes my prepared remarks. Ryan?
Thank you, everyone, for your time today. Veritone has come a long way in just a very few short quarters. Over the past two years, we have focused the business around aiWARE, our core platform, which powers really our entire corporate and product offering strategy. We are very excited about the scale that we are beginning to experience. For example, VDR has evolved in a true production engine, and we are engaged with all of the major hyperscalers, which is a tremendous accomplishment. The strategic data set transaction and our partnership with Oracle are additional proof points of our success, and they're expanding our access to high-value data and giving us the infrastructure to scale more efficiently going forward. As we move into 2026, we are focused on disciplined scale by converting our pipeline into revenue, expanding our data supply and continuing to build on the operating leverage we have created. We have the platform, the partners and the foundation in place. Now it's about execution and scaling into what we believe is a very large opportunity. Demand remains strong. Our pipeline continues to grow, and our engagement with hyperscalers is as strong as it has ever been.
I appreciate everyone's time today, and we look forward to speaking with you next quarter. Thank you.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
Veritone — Special Call - Veritone, Inc.
1. Management Discussion
Before we begin, I'd like to note that certain statements we may make today, December 1, 2025, could be considered forward-looking. These statements are based on our current expectations and assumptions, and actual results may differ materially due to risks and uncertainties. We do not undertake any obligation to update these statements after today's discussion.
For a full list of risk factors, please review the disclaimer on this slide and our most recent filings available at sec.gov. A replay of this webcast will be available later this week via a link on the Investor Relations section of Veritone's website at www.veritone.com.
[Operator Instructions] We will review the submissions and address the selection of questions towards the end of this session.
Welcome, everyone, and thank you for joining Veritone's AI and Data Economy Forum. We have a full agenda for you today where you'll learn more about Veritone's vision and strategic framing of this exciting market opportunity. We're also going to go through in detail our technologies, products and solutions, including demos. And then finally, we're going to go through our go-to-market and business strategy to continue to drive high growth.
In addition to myself, you will also hear from other Veritone leaders, including Sean King and Chris Doe as well as a few comments from a few of our esteemed customers.
First, let's talk about the title of this forum today: The AI and Data Economy. I specifically did not state just AI, but data as well and Veritone is very focused on both.
Succinctly, data is the lifeblood of AI. And in today's world and economy, data is both a new asset class and is becoming a new form of currency. Veritone is a native AI company from our inception in 2014, but we are also a data company defining the future of data tokenization, utilization and ultimately, monetization.
Going back to our founding. Our company name, Veritone, means truth in the signal. It embodies our foundational belief that the world's unstructured data contains objective truths that would properly refined fuels intelligence, insights and value. We build the systems and applications that process and activate this data to uncover and operationalize this truth and also its value.
This data processing at scale has established Veritone as a key enterprise leader in both the AI and data economies. Enabled by our unmatched expertise in unstructured data, and our proprietary AI operating system, aiWARE, Veritone delivers market-leading applications and workflows at scale focused on transforming unstructured data into actual intelligence and tangible value.
For more than a decade, Veritone has been cognitively processing or tokenizing video and audio, which is the fastest-growing segment of unstructured data. We've been converting this unstructured data into metadata rich tokens, aligned with faces, objects, speech, sentiment, events and many more contextual embeddings. Our aiWARE operating system provides a scalable, secure and AI model agnostic foundation for the ingestion and operationalizing of both structured and unstructured data across disparate enterprise systems securely, reliably and at scale.
More importantly, we are processing and tokenizing this data in a transactional utility-driven format that delivers immediate value and measurable ROI for our customers, which includes many of the market leaders for media, entertainment and sports, including CBS, who you're going to hear from later; to public sector and government, including the United States Air Force and hundreds of state and local law enforcement agencies and sheriff departments.
To help educate the audience on what exactly is this unstructured data opportunity and its journey, let me walk you through an example customer.
In this case, CBS News. CBS News has been producing millions of hours of unstructured audio and video going back decades. What Veritone does is we work with them as a customer. We ingest all of that raw audio and video into an instance of aiWARE. And then immediately, we start applying cognitive AI processing against those audio and video files. This turns it into indexed and organized tokens. Those tokens, think of them as understanding of what's inside every single frame of video and every second of audio, is actually the input that drives these powerful applications. It creates the utility value.
And sometimes, it's as simple as search and discovery, helping archivists or researchers find specific points in time or specific elements of content. It helps their sponsorship and advertising groups optimize product placement and also helps drive research decisions, what programming is working and what's not working. But the point here is we are the full end-to-end stack from ingestion to AI cognitive processing and tokenization to actually providing the utility value of this indexing through our applications.
Today, Veritone stands on a trajectory of strong and strategic growth, powered by, again, our AI operating system, aiWARE, which fuels the global data economy generating trillions of tokens per quarter across all of our customers. As the AI economy accelerates, the data economy is expanding right along with it, and Veritone's strategic positioning and market timing could not be more perfect.
Building on our scaled data processing and tokenization of unstructured data, with the example that I just gave about CBS News, we are also emerging into an exciting new field, working with hyperscalers and AI model developers to actually help train and tune their next-generation models. In fact, we're using the same audio and video files that we've prepared and clean and indexed, and we are now working and licensing and selling that data directly to the largest hyperscalers and AI model developing companies. We call this new solution, the Veritone Data Refinery, or VDR.
Through VDR, we have established ourselves as a premier data and model training partner for many of the largest hyperscalers and foundational model developers. We transform, again, raw, unstructured audio and video into high-quality tokenized data sets that can be used to train and fine-tune the world's most advanced AI models.
VDR is a new product line that is being sold into both public sector and commercial enterprise customers. With a qualified near-term pipeline and bookings already surpassing $40 million, VDR is emerging as a critical partner to many global hyperscalers and the next generation of AI model developers.
As we've stated on previous calls, we are confident by the end of the year, we will hold active contracts or projects with nearly every major hyperscaler in the market, further solidifying VDR's position as a critical enabler in the unstructured AI training data ecosystem.
Our tokenization platform not only powers our AI workflows and customer applications today, but now serves as the foundation for a powerful new monetization framework. The data as a currency era has arrived and Veritone is uniquely positioned to capitalize. Once data is tokenized through aiWARE, the opportunities are endless for our customers. We're able to help them increase profitability and work more efficiently with data that is instantly searchable, analyzable and actionable.
As content and data libraries expand and data volume surge, Veritone is uniquely positioned to unlock value from commercial enterprises and IP owners. Our technology enables enterprises, many of whom who have been loyal customers of ours for over 10 years to now fully monetize their content and data archives, transforming dormant assets into active revenue-generating resources while simultaneously producing high-quality model-ready training data that fuels the next generation of AI innovation.
Now enough of me talking. Let's pass it over to Chris Doe and Sean King, who are going to actually walk you through our products and services and our go-to-market strategy.
Hello, everyone. I am Chris Doe, Head of Product at Veritone. And today, I'm very excited to walk through our technology platform, our product portfolio and a preview of what is coming next year.
Before we begin, a quick introduction about myself. I've spent the last 20 years in product management across data, media and online advertising. I've always gravitated towards the bleeding edge of technology, and that is ultimately what brought me to Veritone 5 years ago.
Today, I oversee our commercial and public sector applications as well as aiWARE, the platform that underpins all of our AI software and data services. These products are business critical for some of the largest media companies, sports leagues and law enforcement agencies in the world.
First, I want to ground us all in the technology platform that makes everything you'll hear about today possible. aiWARE is the core end-to-end platform that powers all of our commercial and public sector applications. It brings in large volumes of audio, video, images and documents, applies AI processing at scale and converts that raw data into data tokens that can be searched, analyzed, transformed and monetized.
The platform excels at 4 key areas: ingestion, AI cognition and orchestration, tokenization and activation. First is ingestion. aiWARE is built to handle data at scale, whether that is a movie studio archive, a live broadcast feed, a series of CCTV networks or drone footage, all of it can be brought into a single secure environment with full data provenance. So customers always know exactly where every asset originated from and how it has been processed. The platform also features advanced metadata support and synthetic metadata enrichment options.
Second is AI cognition and orchestration. The platform manages a large and growing ecosystem of models, including our own proprietary models and those from the best-in-class providers. All processing runs in a secure, controlled and explainable manner to support the requirements of both the commercial and government customers. As part of this, we developed our own token standard called AION, which provides a consistent way to represent token outputs across all these models. This ensures that every piece of intelligence generated by aiWARE is structured, traceable and interoperable.
Third is semantic tokenization. aiWARE normalizes the intelligence it produces, creating transcripts, labels, timestamps, entities, embeddings and other forms of structured metadata. This is what enables clean and consistent search across all of our products including natural language search, which you'll see throughout the demos today.
Finally, activation. The intelligence generated by aiWARE can be activated in multiple ways. In most cases, the activation is within our purpose-built applications. But in other cases, the value is achieved in dashboards, alerts, data exports and third-party integrations.
Activation is where business outcomes are achieved. As we move throughout the demos, remember that all the applications you see today are not point solutions. They're built on 1 platform and 1 single architecture, aiWARE.
Having introduced aiWARE and how our underlying platform ingests and cognitively processes the unstructured data, we are now going to dive into our application layer, which ultimately turns this value into our customers. Starting in commercial.
The initial application I want to discuss is Digital Media Hub, or DMH. DMH is our intelligent media asset management, archive and monetization solution for all of your creative content. DMH is used by many leading sports, news and entertainment clients worldwide, including CBS, NBCUniversal, Augusta National and ESPN.
DMH got a major upgrade this year and is faster, smarter and more integrated than ever. We've enhanced our AI-powered tagging, streamlined the user interface and introduced powerful new collaboration tools.
The real magic is the AI, automated tagging and processing allows the user to instantly begin searching across the indexed data. Users can simply enter a term, phrase, keyword and automatically be taken into the exact moment they are looking for, no more manual tagging.
Users can also leverage our advanced moment search built on top vector database that allows for a more semantic-type search experience. DMH also now includes upgraded commerce tools that simplify rights management, pricing and transaction processing, making it easier to monetize your archive and with automated workflows and cloud transcoding, delivering assets to the right destinations is faster and more seamless than ever.
We have also introduced new customer-driven features, including bulk tools for metadata updates, ordering and organization as well as a redesigned collections experience that makes sharing and collaboration easier than ever. As you can see, DMH delivers a deep set of capabilities that support an impressive range of customer needs.
Next, let us look at our long-standing Discovery product, which is used to ingest and analyze thousands of television, OTT, radio and audio streams 24/7. Here, you can see how users can search radio and broadcast television streams using natural language. This enables media broadcasters to derive programming insights in a matter of seconds. Discovery also includes one-click tools that generate concise data summaries and actionable campaign recommendations.
Most recently, Discovery has been fully integrated with our chatbot, Veri, giving users interactive search and deeper content intelligent insights. Veri is the result of more than a year of innovation from our labs team. It's an amazing tool to summarize all the AI processing results that are attached to the ingested files.
Users can ask Veri to summarize large watch list, break down key moments and answer follow-up questions in real time. They can refine their results by adjusting confidence levels, request deeper context or even ask for the sentiment of an entire video. Veri delivers these insights in seconds, turning complex analysis into a simple conversational experience.
Now let us shift into our public sector applications. This is one of the fastest-growing areas of our business and for good reason. Digital media analysis has become essential for modern policing and investigative work. In many ways, it is becoming the new DNA analysis. Agencies are dealing with enormous volumes of video, audio, documents and digital evidence. And there's just simply no way they can process all that information manually at the scale required.
With that said, let's talk about Veritone's Intelligent Digital Evidence Management Systems, also known as Veritone iDEMS, our solution that helps public safety and justice agencies accelerate their investigations. Veritone iDEMS is a suite of AI-powered software products, which I'm excited to show you now.
The first application in iDEMS is a Investigate. This product helps investigators quickly find key moments across large sets of evidence, connect related items and collaborate more effectively across cases. It brings every file into one place, along with all the associated metadata and AI-generated insights so that everything is searchable and easy to navigate. Investigate also connects seamlessly with all the rest of the iDEMS products, ensuring that all the evidence and workflows stay linked across the entire investigative process.
Next is Veritone Track. Track uses advanced computer vision to help investigators locate a person of interest across large collections of video. This goes far beyond simple face recognition. Track evaluates appearance, clothing, movement patterns and other visual attributes to find matches across different cameras, angles and environments. As you watch the demonstration, imagine an investigator needing to search across dozens of CCTV feeds to identify where a person may have been.
Traditionally, this could have taken days or weeks. With Track, that work can happen in minutes. The system presents potential matches, timelines and movement paths. So investigators can quickly understand where a person may have traveled and which footage is most relevant. It accelerates investigations while reducing manual review time in a significant way. The end result of this workflow is a shareable person of interest timeline to help solve active cases faster.
Now back in the Investigate application, I can search for a transcription keyword and show you how Redact works. Redact is one of the most widely used public sector applications and solves a very real-world challenge. Agencies are required by law to protect PII, personally identifiable information, when releasing body-worn camera footage, dash camera footage or other evidence. Historically, this meant someone had to go frame by frame and manually blur sensitive information. Redact removes that burden. As the video plays, you can see how Redact automatically detects sensitive keywords and applies accurate, frame-consistent masking. The same workflow is possible for faces, screens, license plate and coming soon, documents.
In the next example, after running another simple keyword search and navigating to our data detail page, you will see the automatic video summarization applied to the body camera footage. This is a straightforward but powerful demonstration of how we save investigators significant time while showcasing the strength of our video understanding capabilities. We will be adding additional police report generation capabilities next year and also adding Veri, so detectives can talk to their evidence if they so choose. Together, these capabilities highlight how iDEMS delivers the workflows and intelligence required to drive better investigations. In the end, it's all about catching the bad guys as fast as possible.
One of our most exciting advancements in our product portfolio over the last year is the Veritone Data Refinery, or VDR. Introduced late last year, VDR represents the next evolution of our aiWARE platform. Taking everything we've built in multi-mobile ingestion, cognitive AI processing and semantic tokenization and elevating it to a new strategic tier.
For years, aiWARE has powered our applications by transforming raw video and audio into structured machine-readable intelligence for our customers. With VDR, we've extended that same architecture to a new frontier, preparing and refining tokenized video and audio as high-quality training data for modern AI models.
This offering is in theory, is a direct application of our core expertise. aiWARE's proven ability to ingest, structure and cognitively analyze unstructured media now allows us to produce training-ready data assets at scale with the consistency, transparency and operational rigor that model developers require.
VDR is both a product and a service engine, a full stack pipeline that transforms enterprise archives into AI-ready intelligence, unlocking new revenue streams for rights holders and accelerating model development for AI companies. It is one of the clearest expressions yet of how Veritone's technical foundation, proprietary workflows and domain experience position us at the center of the data economy emerging around next-generation AI.
So what are we working on for VDR for next year? Well, we're going to be introducing a lot more advanced token generation services via advanced clipping and annotation tooling. Our goal is simply to provide the best quality training data to our partners and over-service them throughout all engagements.
Looking ahead, we are entering one of the most transformative periods at Veritone. Several years of deep platform and application investment are coming together, and we're about to enter a new era of innovation at Veritone. A major theme will continue to be natural language. Users across all of our products will be able to leverage our chatbot Veri to talk to their data for search, analysis, workflow execution like we showed earlier in Discovery.
To be clear, we will always support the structured user experience our products offer today, but we will complement those experiences with a natural language alternative if clients so choose. You will also see more advancements in video understanding. As more models are introduced into the market, you can ensure Veritone will be testing, onboarding and benchmarking all of those for our clients.
Next, real-time video analytics is something I'm very excited about. Veritone has a long track record of delivering real-time AI insights that help our customers make business-critical decisions. And doing that reliably at scale is incredibly difficult. But this is what we excel at. And we have both the experience and the vision to continue leading in this area.
Finally, agentic workflow. Today, the super majority of our utility value realized by our end customers is through the application layer. Yes, these AI-enabled applications, including DMH, Redact, Investigate and others have greatly improved the speed and efficiency. But the ultimate yield potential of all this centralized tokenized data is still constrained. This is where Veritone agentic AI will exponentially increase performance and yield.
Imagine the same homicide detectives using Investigate can invoke a swarm of Veritone AI agents to not only enable them to analyze multiple crime scenes at the same time, but these agents can immediately start taking action on potential evidence, hits and elements of interest to advance or follow up on.
Now imagine a police department using the same technology to monitor dozens of city cameras receive real-time alerts or person of interest and immediately pull relevant case evidence through natural language search. Investigators collaborate on the same data in minutes instead of days.
On the commercial side, imagine a major television network running hundreds of live feeds and simply asking Veri to track brand exposure in real time or identify story moments, generate highlight clips or flag compliance issues, all automated, all instant. These examples are why we are hard at work, adding Veri to all of our applications, many of which are scheduled to launch in this upcoming quarter, Q1 of 2026.
In sum, next year's road map is the most exciting we've had in my 5-year tenure. I'm incredibly optimistic about 2026 and the evolution of both our product portfolio and our service offerings, all powered by our comprehensive aiWARE platform.
You may wonder why I'm so optimistic. Well, look at 2025. Veritone created a rocket ship business line called VDR pretty much out of thin air. And this was because they used the aiWARE platform, a platform that allows builders to launch new products and solutions quickly and efficiently in a secure and compliant fashion. I can't predict the future, but I do know we have a lot of entrepreneurs on staff, and I guarantee there will be more lines of business sprouting up in years to come. That's why I'm so optimistic and so I'm so bullish about aiWARE.
Thank you for spending the time with me today. I want to thank all of our customers, partners and employees that made this possible today.
Hi. I'm Sean King, Chief Revenue Officer here at Veritone. Our overarching message today is clear. Veritone has built the market-leading tokenization platform, and our decade of revenue growth has resulted in one of the largest and most comprehensive libraries of tokenized audio and video data. These tokenized data assets are what power our applications, as Chris demonstrated, providing operational efficiencies, production gains and net new revenue opportunities for our customers across both commercial and public industries.
This foundation allows us to serve an industry-agnostic customer base around the world. Our aiWARE platform powers organizations across media, government, sports and enterprise sectors from global broadcasters and hyperscalers to law enforcement and Fortune 500 companies. Because aiWARE is adaptable to any data type and workflow, we deliver value across diverse industries and use cases whether data needs to be analyzed, managed or monetized.
Today, you'll hear from a few of our customers, demonstrating how we help leading organizations unlock the full value of their data. As our advanced AI and data capabilities have strengthened, we are seeing not only new business wins and renewals but contract expansions, allowing our customers to fully harness their data assets.
As Ryan mentioned at the start, the data as a currency era has arrived, and Veritone is helping our customers lead it. Every organization sits on vast underutilized data, and we help them turn it into living monetizable assets. Through Veritone Data Refinery, alongside our licensing services, our customers transform video, audio and text into tokenized model-ready data sets as well as commercially ready media assets that unlock new revenue streams, help enrich and improve the creative process and accelerate AI innovation.
Our customers, whether in media, government or enterprise gain the ability to control, enrich and transact on their data safely and at scale. As data becomes the world's newest currency, Veritone enables our customers to fully participate in the emerging data economy and create measurable value from every token.
Now let's hear from one of our long-standing customers CBS News.
I'm Maggie Dakin, Director of Archive Sales for CBS News Archives. For over 90 years, CBS News has documented the most pivotal moments both in our nation's history and across the globe. Over time, it became clear that these stories would hold immense value for generations to come. With that, the CBS News Archives is born.
We have been partnering with Veritone licensing for the last decade to make our content available for storytellers, creating moving and informative films, documentaries, episodic series and podcasts. As we digitize our archives, Veritone's aiWARE provides a unique opportunity to solve one of the biggest hurdles in our business, search and discovery. As we look toward digitizing our entire archive, Veritone's technology will play a pivotal role in improving the licensing experience for creatives.
Now let's shift to one of the fastest-growing, most critical areas of our business: public sector. Today, digital media analysis has become essential to modern policing and investigative work. It is, in many ways, the new DNA analysis. Law enforcement and public safety agencies are facing a data challenge of immense scale, dealing with enormous volumes of video, audio, documents and digital evidence from body cameras, surveillance videos and other sources that are simply impossible to process manually.
Veritone's Intelligent Digital Evidence Management Systems, or iDEMS, is the direct solution. It's a suite of AI-powered tools designed to not just manage this data but to accelerate investigations and deliver better outcomes. Our iDEMS suite showcases compelling use cases that directly solve the most painful points for our customers. Veritone Investigate helps teams find the crucial signal and the noise connecting evidence and enabling collaboration.
Veritone Redact addresses the mandatory compliance challenge with releasing public records, replacing weeks of manual frame-by-frame blurring with automated, accurate masking of faces and personal identifiable information, or PII. This is an unmatched win for efficiency, privacy protection and transparency.
Lastly, Veritone Track leverages advanced computer vision, turning days or weeks of manual video review into mere minutes, locating persons of interest across vast video collections. Collectively, iDEMS delivers faster investigations, more successful case outcomes and strengthens the vital relationships between agencies and the communities they serve.
Now let's take a moment to hear from our customer, Eden Prairie Police Department.
My name is Alyssa Benkowski, I am the records and evidence supervisor with Eden Prairie Police Department. The Eden Prairie Police Department maintains a large amount of digital data captured by over 90 body-worn cameras, 30 squad cameras and several interview room cameras. Each year, our agency responds to over 40,000 calls for service. With only 3 record specialists, in addition to their day-to-day responsibilities, they respond to approximately 2,500 public data requests each year, so it is imperative that our tools are accurate, efficient and dependable.
My first body worn camera project was for a 15-minute video. And with our old system, it took me over 8 hours to complete that project. When we tried Redact, I ran that same video as a comparison, and I finished that in about an hour.
The transcript feature and head detection immediately stood out to me, especially since facial recognition alone doesn't tend to keep up with people when they're turning their heads or when officers are moving within the frame.
Redact's upload speed, transcript processing, object detection and integration with our evidence management system have made a big difference for us. We no longer waste time downloading and reuploading files and multiple staff members can work on those projects at any time, which is essential for the volume that we are dealing with.
In addition, we recently learned that muting and beeping audio does not meet our state requirements, which are 2 of the only options that most systems offer. When I reached out to Veritone after learning this, I received a Veri prompt response that audio masking had recently been implemented, and they worked quickly to turn that feature on for our department.
This leads me to one final thought. One of the main things that stands out about Veritone is their customer service. Their team is quick to respond, always helpful and makes it known that our needs truly matter. Even if I contact the wrong person, I'm always routed to the correct one right away, and I never feel like I'm inconveniencing anyone over there. They really take a lot of pride in their products.
Redaction will always be a big and sometimes daunting task, but with Veritone Redact, it has made it much more manageable. It helps us stay compliant, maintain transparency and keep our workflow moving. We are truly grateful for the difference that this has made in our processes.
It's absolutely incredible to be able to service such customers. It takes a robust go-to-market strategy to drive the kind of revenue results we saw in third quarter. Our customer contracts are generally subscription-based, consumption-based or a combination of both, enabling flexibility to meet a wide range of customer needs. We serve thousands of existing customers through these models, while leveraging both direct sales efforts and a strong partner ecosystem to attract new prospects and build a healthy, sustainable pipeline.
Our go-to-market strategy centers around direct sales motion supported by a strong diversified partner ecosystem. By prioritizing direct opportunities, we can ensure tight alignment with our customer needs, shorter feedback loops and deepen engagements across the industries we serve. This motion is amplified by our robust partner network that extends our reach and accelerates adoption.
Today, we leverage hyperscalers, system integrators and channel partners like AWS, MissionRT, Technology North, Key Code Media, Carahsoft, OPEXUS and Nuix, just to name a few. We also align with necessary technology alliances like the AWS Generative AI Center of Excellence to meet customer needs where they are. Together, these complementary motions enable Veritone to scale efficiently, understand new and developing needs and deliver AI and data solutions that are operationally transformative.
Ultimately, our message is clear. Veritone is the company that transforms vast underutilized data into living usable, monetizable tokens. These tokens power our customer applications and all monetization opportunities.
Through aiWARE, a market-leading tokenization platform and its intelligent applications, we are empowering organizations across every sector for media to law enforcement, accelerating innovation, achieving measurable value from every token and fully leading the data as a currency era.
Thank you all for your time today. Over to you, Ryan.
All right. We are going to have a little live Q&A here. Let us kind of assemble our team, make sure I see everybody. And then I'll turn it over to Cate, who is helping organize the questions. But first, I just want to let thank you, everybody, for joining today. Obviously, we have a pretty exciting and dynamic team over here. Thank you, Chris. Thank you, Sean, for being representatives of a very large -- much larger organization. There's a lot of people who contributed here. But about -- but before we kick it off, I want to just to impress upon people really the power of our core technology platform that makes all this not just possible but so cost effective for us to continue to iterate and build these effective workflows any solutions for our customers.
All right. With that, Cate, can you assemble the questions, and let's get through these.
Sure. Thanks, everyone, for submitting questions throughout the session, and we also have a few analyst questions that came in before the session today.
So Ryan, just to get started, this came in from the chat. The White House officially launched the Genesis Mission last week. Can you talk about how this will impact the business for Veritone and public sector opportunities that we've spoken about?
Yes. I think what you're referring to last week, the White House again issued an executive order named the Genesis Mission. I hope everybody has a chance to go through that. It's not too long. We'll follow up to all the attendees today and give you a link to that. But candidly, this was an exciting advertisement for Veritone in our core thesis and mission. And it really sets out 2 things. One is, we obviously know about everything that OpenAI and NVIDIA and everybody else are doing as part of this huge AI infrastructure build-out.
But I think finally, Michael Kratsios, the CTO of the White House and respective team, Gil included, they really set forth, which I find a lot of passion in, and I think is very important is what is our nation's core foundational model thesis as well, right, not just being overly reliant candidly, on just third-party companies. And I think this was a major step forward. But here is the 2 main points of this executive order that I think are so relevant and powerful to Veritone.
First and foremost is, if you read this, this is as much about data provenance and leveraging proprietary data as it is about having our nation build its own proprietary AI foundational models. So please read through that. Probably the most impressive thing is for our nation and for with this executive order is the President's mandate to activate and leverage the legacy existing research and science foundational data sets that the United States has been producing for decades and decades, which includes petabytes and petabytes of audio and video as well.
So again, this for us is a testament to our maniacal focus on all things data and the tokenization of that data to turn it into clean both semantic utility value, as Chris went over in depth today as well, but also providing future AI model training. So again, I think this is a validation of our business model.
And yes, if you're going to ask the question is, we hope to be part of this exciting initiative, obviously, is one of the companies that has been processing petabytes of audio and video for decades now and producing high-yield tokenization, we hope to be a part of this exciting initiative with the government directly in the future.
So again, I think this was a phenomenal thing. I'm personally proud of it. I'm proud of it as an order for our nation. And I do think it's very relevant and helps validate Veritone's core business model and thesis.
Thanks, Ryan, very helpful color. Moving to the next question. I know during today's event and especially during Veritone's last earnings call, data tokenization was kind of at the forefront of your prepared remarks and some of the industry insights that we've been speaking to. Why is this such a major focus for Veritone. And can you help us kind of contextualize what broader tokenization trends you're seeing across the market and how this impacts our market opportunity?
Sean, why don't you start off and then I'll try to follow up and add to this where it deems fit.
Sure. Happy to. As kind of both Ryan and Chris said throughout this, for more than 10 years, Veritone has been turning audio and video data on behalf of our customers into tokens and ultimately becoming one of the top-tier semantic token factories that exist, frankly. And our solutions, as kind of Chris demonstrated, we're built to transform that raw audio and video into valuable metadata rich tokens that are basic building blocks for powering our applications, powering certain discovery of assets, CBS News kind of demonstrated earlier. So this really puts Veritone in a great spot because there's still the growing need for structured data that can actually be utilized and then utilized and monetized. So these tokenization processes and trends that you're seeing are a massive opportunity for Veritone and our customers to make the most out of their assets and be able to provide high-quality data.
We've talked a lot throughout this as data as a currency era is upon us. I believe I read from Mordor Intelligence, that they global tokenization asset is expected to hit somewhere north of $10 trillion by 2030. And Veritone, as we sit here today, we're perfectly positioned here to take advantage of this and we -- that with our strong track record and subject matter expertise.
And really, at the end of it, it's our aiWARE platform that can be the engine for that global data economy as well as our Veritone data refinery as a key of turning that into a powerful new way to grow organizations and Veritone and our customers. So as the data and AI industry continues to take off at lightning speed, as I mentioned, aiWARE alongside VDR and our decades of subject matter expertise, places Veritone squarely at the center of this expanding opportunity.
Great. Thank you, Sean. I don't need to add anything to that.
Thanks, Sean. And then I think we'd love to hear from you too as well, Chris, Ryan, on this one. When you talk about the versatility and flexibility of the aiWARE platform that powers Veritone's products, are there any limits to the platform and its capabilities?
aiWARE is truly an impressive technology. It's what attracted me to Veritone years ago. This vision for an AI operating system before AI was mainstream. First and foremost, it fuels all our applications like we've talked about before. Both the purpose-built ones for our BUs as well as all the custom applications, workflows and dashboards that we've built over the years through our professional service offerings.
Secondly, as I've said multiple times, and you've heard today, aiWARE shines at high-scale ingestion and processing across all formats and across all environments. We talk a lot about audio and video, but we're also very competent in structured data as well as document understanding. For structured data, we get log files from advertising campaigns or telemetry from drone footage, and we ingest that and map that to our systems. On document understanding, opening up these PDFs and understanding all the structure of the tables, graphs and text, it's not trivial, and we do that all day long as well.
Thirdly, aiWARE is hardened and meets all the security, reporting and compliance requirements across all of our client engagements. These are very complex operational demands that we have been consistently meeting for years.
Lastly, aiWARE is open. What I mean by this is, it's deployment and model agnostic. On the deployment front, we host our applications in both Azure and AWS, but we're also deployed in GovCloud as well as FedRAMP for our secure federal clients.
On the model front, we have an open model framework. What this means is you have a seamless integration and management across hundreds of pretrained AI models. This allows clients to pick and choose the model that works best for their business and evolve over time as their business evolves. AI is changing and businesses are changing and aiWARE supports this evolution.
Given all this, aiWARE can really support endless AI solutions, and it's really architected for innovation. Builders can get up and running quickly, prove out the use case and start scaling operations from there, all possible from the years of technology investment into aiWARE. It's really an extraordinary platform and it's only accelerating.
I think I'll add just one comment. I think this was kind of an add-on from Joshua Reilly at Needham, who was asking about our focus, our ability to continue to develop prebuilt applications for specific verticals like Redact for public safety, like DMH for commercial.
Well, first is, hopefully, you've got a good insight on to the aiWARE platform. What is so powerful, it allows us really in a low-code workflow type of environment to spin up and activate against new market needs or problem sets very quickly. Once we have the data, once we've integrated it, once we've tokenized it, frankly, we can build new custom workflows incredibly fast.
Our end users may see a huge difference when they're using the redaction software. But candidly, that's just a different workflow. Frankly, to us, from a technology perspective, there's not much of a difference than an archivist at CBS News using the aiWARE applications to solve their problem sets.
So I think we're in a great position to continue to build these point-specific or solution-specific applications, frankly, that are easy to sell and they're easy to frankly train a new end user to use quickly but we are also adept at helping build custom solutions or custom workflows for much larger and more dynamic customers like the Air Force. So hopefully, that answers your question. But again, it all terminates and begins and ends with the aiWARE platform.
Thanks, Ryan. And then turning to the chat, and I believe this was a question that came up during the demos. So from the audience on the DMH product, who would be using this? Is it the owner of the content or others looking to access the content? And if you could expand on the utility of this as well as the revenue model.
Chris, I'll take this and then maybe you can add a couple of comments if you want. First, DMH, Digital Media Hub, is primarily used by our commercial customers, heavy usage by media and entertainment, sports and news organizations. And to the question is pretty astute. It is actually used by both internal teams, right, such as the team at CBS News or at CNBC or others. But it also has permissioning, so third-party customers or those who have credential rights can access specific content objects as well.
So in the context, let's say, the Masters golf tournament, they internally use it for management of their files, the speed of building highlights, the speed of preparing content for sponsor activation, but on the flip -- but on the opposite side, with those who have permission, they can log in and get access to those files almost immediately.
So when you see like Tiger Woods footage from the Masters or more recently, Rory McIlroy from the Masters show up in an advertisement in like just a few hours, that's because Wieden + Kennedy and the advertising agency or other third-party customers have also permission-based access.
And again, that permissioning is critical. Again, this goes back to the core fundamental functions of aiWARE, where once the data is ingested, it has object-level permissioning down to very specific, I'll say, elements of audio and video. So again, this is a highly -- high-use critical component for both internal use cases by a lot of our DMH customers but also has permission-based support for third-party entities who are gaining access to those files as well. But thank you for the question.
And then this was originally a question from Joshua Reilly at Needham and seeing a few other questions in the chat just around the hyperscalers and their use of the VDR product. So for VDR, it seems initially the largest hyperscalers are proving to be customers of Veritone but that seems to be expanding into a much wider group now, Ryan, as you mentioned. How big is this customer set for VDR over time?
Sean, why don't you take this?
Sure. I just want to reiterate kind of as Ryan said earlier on, we're still on track to secure contracts with the majority of all the hyperscalers by the end of the year, which is great because let's face it right now, they're the big spenders in the AI space. But I just want to reiterate that here, this is still very early days.
So today, we may see 30 or so major players in this space, but we expect that number to explode into the hundreds over the next couple of years. New groups will be building fresh applications for unique use cases. Some may be layering on top of existing technologies, fine-tuning models, creating very domain-specific use case models.
There's a lot of different opportunities. But what's at the base and foundation for all these opportunities is the need for quality data to get started. And that's where Veritone has the opportunity to come in. That's where -- that's our expansive opportunity where we have that chance to be their trusted partner to helping them quickly obtain annotate, prepare that necessary data, we very quickly have the opportunity to really become mission-critical in their processes.
I think I would say if the total ecosystem where the super majority of the VDR customers is customer -- 50 companies or less today, I expected that to be an order of magnitude bigger over the next couple of years or even into the thousands. And again, that -- we have that conviction because candidly, the cost of building models continues to drop. Obviously, with this huge AI infrastructure build-out, the cost of compute, the cost of storage continues to fall and thus, a lot of these companies, many of which are venture-backed or private equity-backed startups have more -- now more capital that they could use to actually train the models.
So again, we are already seeing new players in the space, and we expect the number -- the unique number of customers that we are selling and licensing this clean data to them to increase over the next couple of years.
And then on the heels of that, another question from the audience and the chat around the VDR product offering. Can you please explain how the VDR contracts are structured? So are these consumption-based, subscription based or onetime fees and add a little bit more color on how those revenues come in?
Today, the majority of the VDR contracts are consumption-based. There are elements that you could deem as subscription-based. And we do see sort of the business models change over time. Remember, in the VDR business, we sit on both sides of the equation, which is exciting and creates an interesting moat for us.
On one side, we are often the exclusive, I would say, representation technology partner of the content provider, so let's say, CBS News. But on the flip side, we are also the vendor or partner with the buyer, one of the hyperscalers, right, who is looking to procure and license that proprietary data. But again, as it is today, the majority of these contracts is consumption based. And in certain times, depending on what the needs are, some of these contracts are actually onetime fees. We deliver the fully clean prepared data set, and that's it, and we recognize that revenues in quarter.
But again, you will see that model change over time. As we process multiple orders, if you want to call it that way, or multiple data programs for a single existing customer, you're starting to see specialization happen already, which by the way, is really unique because we can offer specialization, meaning I can deliver video files or audio files with different structured formatted metadata or tokens to different hyperscalers to suit their needs to make their process more efficient. And thus, you could see more subscription like of revenues in the future. But to be very clear today, the majority of our VDR revenue is -- and the recognition of such is primarily consumption-based, which -- and also includes elements of onetime fees.
Why don't I just take a couple? I know we're running out of time. Cate, how much more time do we have before we need to wrap up here, just a couple of minutes?
I have just a couple of minutes, around six minutes but Ryan, if you want to take...
There's a few interesting questions. I apologize. I'd love to answer all these, and we can try to get to some follow-ups with our IR team and our team to reach out to these people. But there are a lot of great questions.
One obviously says is, "are we expecting any new hyperscaler contracts could be released before end of year?"
To be clear, we're signing those in quarter, and we have signed new ones in quarter for fourth quarter. I think you're looking for more public disclosure. Candidly, we would love to be able to screen the mountain tops. I mean, obviously, people can infer the type of companies and which specific companies we are working with and selling to. But obviously, we're going to honor the confidentiality of those agreements.
And this kind of ties into my answer on the President's Executive Order. Again, it's not just the models, it's the data. And often, what data these companies are using and how they're using it is frankly like state secrets, okay? State secrets.
So again, all I can reaffirm what Sean said is we are working with the major players today. And hopefully, we'll be able to mention their name specifically more publicly in the future but be reassured that we are working with the majority of the players already today some of the biggest names you know. And we -- again, we expect that to have relationships and active engagements with the super majority of all of them by the end of the year.
And then I'll answer one more question and then we can kind of wrap it up for this session today. But again, as much of our fundraising has been secured from institutional investors, do you see prospects for strategic investments in the company in the future?
Absolutely. We've had opportunities to enter into more strategic relationships with different major players over the years. Historically, we've elected not primarily for being independent and frankly, remains Switzerland.
What I mean by that is, as Chris articulated earlier, our platform is completely agnostic. We have customers right now using AI and applications that are using those and those are deployed on Azure, on AWS, in FedRAMP and other providers.
We also work with countless AI model developers as well as us producing our own AI models internally. And so we want to make sure that when we evaluate strategic opportunities, that it does nothing to disrupt our independent open thesis which has proven to be very successful. But again, we are always opportunistic. We are always looking at what type of strategic relationships would be a force multiplier for the company, which may or may not include a direct investment as well. But thank you for a great question.
Thanks, everyone, for all the questions. I'm going to put in the link to our IR e-mail alerts in the chat. So would love for you all to subscribe, and that's where we will be sharing further updates, whether it's press releases or product updates as well as the upcoming conferences Ryan and team will be attending. So really appreciate everyone attending today's session, and we'll turn it back to you, Ryan, just to close this out.
Again, thank you, everybody. A few things I want everybody to get from the session on webinar today is: first, just alignment, if you can hear how Chris speaks to our opportunity through the lens of product and engineering, how Sean speaks to it from a go-to-market and revenue generation and obviously, how I speak to it from a strategic perspective and market perspective is we are all in on what we've been doing for a decade, right? Our ability to be the experts on leveraging AI and fueling AI with unstructured and structured data, tokenizing it and bringing almost immediate ROI and utility value to the opportunity and to the marketplace and to our customers. So we're very, very excited about that.
Please pay attention to this phenomena of the tokenization of real-world assets. That's what we do. Audio and video is a real-world asset, and we are definitively a market leader in that space. We're very bullish about VDR. We're very bullish about what we're doing in the public sector and in commercial. But again, I think we have many different levels of moats. People always ask what's proprietary, what's different?
To be clear, it's all of it combined, right? Achieving this level of scale and achieving this number of real customers that are going to -- most of which have been customers of ours for years, we have almost like the network effect where we can leverage our same core operating system, aiWARE, to service radically different types of customers in completely different market segments, but all running on the same stack. That's incredibly hard to do. It's incredibly challenging. And Veritone has not only been doing that successfully for years, but we're also servicing some of the largest enterprise customers. Look at the names of our customers that have been with us for a long time.
Anyway, I want to thank my team. I especially want to thank representatives from CBS and police departments for joining us today and supporting us. And again, we will try to answer all your questions and follow-up via e-mail, but I appreciate your time today, and we look forward to closing out a very strong year. Thank you.
Veritone — Q3 2025 Earnings Call
1. Management Discussion
Good day, and welcome to the Veritone Inc. Third Quarter 2025 Financial Results Conference Call. [Operator Instructions] Please note this event is being recorded.
I would now like to turn the conference over to Cate Goldsmith, Investor Relations. Please go ahead.
Thank you, and good afternoon. After the market closed tonight, Veritone issued a press release announcing results for the third quarter 2025 ended September 30, 2025. The press release and other supplemental information are available on the Investor Relations section of Veritone's website. Joining us for today's call are Veritone's President and Chief Executive Officer, Ryan Steelberg; and Chief Financial Officer, Mike Zemetra, who will provide prepared remarks and then open the call up for a live question-and-answer session.
Please note that certain information discussed on the call today including certain answers to your questions will include forward-looking statements. This includes, without limitation, statements about our business strategy and future financial and operating performance. These forward-looking statements are subject to risks, uncertainties and assumptions that may cause the actual results to differ materially from those stated. Certain of these risks and assumptions are discussed in Veritone's SEC filings, including its annual report on Form 10-K. These forward-looking statements are based on assumptions as of today, November 6, 2025, and Veritone undertakes no obligation to revise or update them.
During this call, the actual and forecasted financial measures we will be discussing include non-GAAP measures. Reconciliations of these measures to the corresponding GAAP measures are included in the press release we issued today.
Finally, I would like to remind everyone that the call today is being recorded and will be made available for replay via link in the Investor Relations section of Veritone's website at www.veritone.com. Now I would like to turn the call over to our President and Chief Executive Officer, Ryan Steelberg.
Thank you, Cate, and thank you, everyone, for joining us today. As the iconic line from one of my favorite childhood shows, the A team goes, I love it when a plan comes together, simple yet profound and never more fitting than it is for Veritone today. I look forward to sharing the details of our exceptional quarter and the strategic momentum now propelling Veritone forward.
But before we dive in, I want to take a moment to highlight the substantial progress we've made over the past 24 months, progress that has fundamentally strengthened our company and position us for sustained growth and success. In early 2023, we set a bold and deliberate course to realign Veritone with its aiWARE first mission, fortify our financial position and ignite durable strategic growth. We've executed with precision and purpose every step of the way, transforming vision into measurable achievement. Today, I'm proud to declare success across these core initiatives. Veritone has not only regained its footing, but stand stronger, more focused and more strategically positioned than ever before.
First, let's start with the balance sheet, where we have completely flipped the script. A few years ago at their peak, we carried nearly $80 million in high-cost term debt and roughly $200 million in convertible debt. Today, I'm proud to announce that we've completed an agreement to retire the entirety of our term debt and repurchase approximately 50% of our outstanding convertible debt, while maintaining material net cash on the balance sheet to fully fund operations through 2026 and achieve our profitability goal in the later half of next year. As a result, our annual debt service burden has now dropped from over $14 million a year to approximately $800,000 a year, a transformative shift that fundamentally strengthens our financial foundation and future trajectory.
Our balance sheet, historically anchor relating with debt now provides renewed flexibility and stability, enabling us to fully capitalize on this hyper-growth market opportunity.
Second, after years of disciplined financial execution and strategic reorganization efforts that have generated tens of millions of dollars in savings. Our operating model today is now tightly aligned with both our scale and our strategic focus on our high-growth AI software products and services. With this foundation in place, our confidence in achieving operating profitability in late 2026 has never been stronger.
Third, we have refocused Veritone squarely on our AI routes. Our unmatched expertise and unstructured data and our market-leading intelligent AI applications. Today, Veritone stands on a trajectory of strong, strategic and profitable growth, powered by our proprietary AI operating system, aiWARE, which fuels the global data economy by generating trillions of tokens every quarter. As the AI economy accelerates, the data economy is expanding right alongside it, and Veritone's strategic positioning and market timing could not be more perfect.
Veritone has emerged as a leading semantic token factory for video and audio, a service we call the Veritone Data Refinery or VDR, built entirely on our own proprietary aiWARE platform. Our tokenization engine not only powers our own AI workflows and customer applications, but now serves as the foundation for a powerful new monetization framework. Our VDR product offering is leading the way as the first of several major monetization initiatives, which we plan to roll out beginning in the first quarter of next year.
For more than a decade, Veritone has been tokenizing video and audio the fastest-growing segment of unstructured data at massive scale. More importantly, we're doing so in a transactional utility-driven format that delivers immediate value and measurable ROI for our customers and ultimately, for our investors through our expanding suite of innovative AI products, services and applications. Our tokenization and monetization strategy is designed to exist and operate both on chain in the context of blockchain and independently as it has done profitably and efficiently for more than a decade. The data as a currency era has arrived, and Veritone is uniquely positioned to capitalize, executing from a position of strength, expertise and leadership in a rapidly expanding multi-billion dollar market.
In fact, according to [ Mordor ] Intelligence, the global tokenized asset market is projected to reach $13.5 trillion by 2030. It is going to be a very exciting next few years for Veritone and our customers.
Now turning to our strong quarterly results. Veritone delivered revenue of over $29 million. This performance underscores the accelerating demand for our market-leading aiWARE solutions, data products and intelligent applications, representing a 32% year-over-year increase in revenue for the overall business. Looking specifically at software products and services, which includes VDR, revenue grew by impressive 55% during the quarter. Excluding Veritone Hire, our software products and services revenue surged by more than 200%.
As global investment in AI infrastructure intensifies, demand for high-quality training data and for our AI applications continues to rise in parallel. This powerful combination is driving sustained high margin expansion across our software products and services business. And as Michael will outline shortly, our bottom line performance this quarter was equally strong, delivering more than a 50% year-over-year improvement.
Now turning to the partnerships, contract wins and products that underpinned our strong results. This quarter, our Veritone Data Refinery, VDR business continued to deliver exceptional performance. VDR transforms raw unstructured audio, video images and text in the high-quality tokenized data sets that power and fine-tune the world's most advanced AI models. We have established ourselves as a premier data and model training partner. And during the quarter, we secured several significant new VDR customers, including contracts with multiple major hyperscalers, further solidifying VDR's position as a critical enabler in the unstructured AI training data ecosystem.
VDR's accelerating momentum underscores not only the surging buy-side demand for clean, model-ready training data, but also the expanding monetization potential of premium video and audio assets themselves. Our qualified VDR pipeline and bookings now exceed $40 million, reflecting 100% growth quarter-over-quarter. Importantly, that figure represents only current bookings and near-term opportunities. Our total VDR pipeline now spans multiple sectors, regions and time horizons, positioning Veritone for sustained growth as AI developers increasingly move beyond Open Web data in favor of proprietary multimodality data sets, precisely the domain VDR was built to serve.
Looking forward, we are confident that by the end of 2025, Veritone will hold active contracts or projects with every major hyperscaler in the market. Our VDR solutions are indeed growing quickly and provide great strategic leverage for future growth, but we are equally excited about our AI applications business, again built and deployed on the same aiWARE platform. For Veritone and our customers, our AI applications are the delivery vehicles for data-centric high-value use cases, driving efficiency gains and ROI.
In the quarter, we achieved significant progress across our commercial enterprise applications business. We signed 27 commercial agreements, including partnerships with ESPN, the NCAA and News Max. And just last week, we announced an expansion of our long-standing relationship with CBS, now encompassing many of CBS Media Ventures flagship programs, including Entertainment Tonight and Inside Edition, which are now available for licensing through Veritone. These partnerships exemplify how Veritone empowers the world's leading media organizations to unlock and monetize their vast content and data archives.
Furthermore, through VDR, we are transforming these assets into clean, searchable model-ready data sets, creating high-value training material for AI models and in turn generating meaningful reoccurring revenue streams for both Veritone and our partners.
As content libraries expand and data volume surge, Veritone is uniquely positioned to unlock maximum value for commercial enterprises and IP owners. Our technology enables partners to fully monetize their content archives, transforming dormant assets into active revenue-generating resources while simultaneously producing high-quality model-ready data that fuels the next generation of AI innovation.
Turning to the public sector. In Q3, we closed 82 contracts from new and existing customers across federal, state and local agencies. We also added 30 new agencies during the quarter, including the IDMs win at a top 5 law enforcement agency and an annual items renewal with a Department of Law Agency deployed in their private cloud. Despite the federal government shutdown, we continue to be actively engaged with our customers and prospects in the Department of [ Law and ] DHS as we expand the footprint of Veritone solutions. Our public sector pipeline now approaches $218 million in qualified opportunities, up from $110 million earlier this year, a testament to both our accelerating demand for AI-driven solutions and Veritone's reputation as a trusted technology partner to law enforcement, defense and [ Fed SIV ] agencies.
We also saw encouraging momentum internationally, including closing a partner-led transaction for a national police agency in the EU and advancing multiple opportunities in the U.K. for Veritone Redact, Veritone items and a new workflow solution on aiWARE. Our international pipeline now exceeds $28 million and continues to grow rapidly, reflecting rising product market fit and strong demand among agencies engaged in government initiatives in key global markets, all supported by our secure and GDPR compliant infrastructure.
Our awardable status on the Department of Wars P1 marketplace positions Veritone to capitalize on the expanding wave of government AI investment. This designation enables us to engage directly with DoD and civilian agencies, shorten procurement cycles and deliver mission-critical AI solutions faster, helping government partners tackle their most pressing operational and analytical challenges.
Subsequent to the end of the quarter, we introduced a suite of new advanced capabilities within Veritone Redact, our aiWARE powered SaaS application that automates the redaction of sensitive information in audio, video and text. The latest features include AI-powered voice masking, inverse blur and multi-language transcription in 64 languages, all designed to enhance privacy, compliance and efficiency. These advancements are already driving expansion within existing customers and creating new opportunities for agency and enterprise partnerships.
Before turning things over to Mike, I want to reflect again on how far we've come and where we're headed. I could not be more excited about Veritone's future, and I remain deeply grateful to our investors, partners and employees who have supported us through this remarkable transformation. I have never been more confident in the future of Veritone, our business, our people and the market opportunity before us. We are leading the tokenization and monetization of valuable unstructured data, and have firmly established ourselves as a key enterprise leader in both the AI and data economies. With a strengthened balance sheet supported by high-quality equity raises completed in the past few months and the material debt reductions announced today, Veritone is entering a new phase of execution, one defined by rapid profitable growth. With our exceptional talent dynamic AI platform, market-leading applications and a robust expanding pipeline, Veritone's future has never been brighter. Over to you, Mike.
Thank you, Ryan. We started the second half of 2025 with one of our strongest quarters to date with Q3 revenue surpassing our recent guidance, led by our software products and services growth of over 55% year-over-year and 48% year-over-year improvements in our bottom line non-GAAP net loss. In addition to this momentum in our results, we secured over $100 million in equity capital in September and October 2025, substantially improving our longer-term liquidity position.
As I will explain in more detail, I'm thrilled to announce today that we will be paying off 100% of our term loan and paying down 50% of our convertible debt, further improving our liquidity position. The results we achieved this quarter are the culmination of years of hard work and strategy coming to fruition. During my prepared remarks, I will discuss Q3 year-over-year performance in KPIs, which exclude the results of our media agency, which are presented as discontinued operations and the corresponding historical financial periods, balance sheet and liquidity position, including the recent capital raises and paydown of our debt and Q4 and fiscal 2025 guidance, starting with Q3 2025 performance.
Q3 revenue was $29.1 million, up $7.1 million or 32% from Q3 2024, driven by an $8.1 million increase from our software products and services, offset by a $1 million decline in our managed services. The $8.1 million revenue growth in software products and services was driven by commercial enterprise, which improved $7.8 million year-over-year and public sector, which grew over 25% year-over-year. The growth in commercial enterprise was led by Veritone Data Refinery or VDR. VDR, which launched in Q4 2024 is one area where we continue to see very strong growth and today has a near-term sales pipeline in bookings of over $40 million, up over 100% from our guidance in Q2 2025.
Overall, Veritone Hire remained relatively flat year-over-year, driven largely by the hiring softness in the macro economy. Excluding Veritone Hire, our software products and services grew more than 200% year-over-year. The growth in the public sector was driven by the rollout of larger deals executed in the first half of 2025, including the Department of Defense and larger public safety agencies. We expect these larger public sector deals, coupled with our expanding public sector pipeline to generate substantial growth beyond 2025, which I will explain in more detail later.
The $1 million decrease in Q3 managed services revenue was principally due to a decline in representation services by a decrease in our VeriAds services, offset by a slight improvement in content licensing. As we previously discussed, we expect this negative trend in representation services to continue through 2025 or until the macro economy shows demonstrated improvements over 2024.
Turning to key performance metrics across our software products and services in Q3 2025. ARR of $68.8 million, up 9% from Q2 2024 of $63.4 million and 12% sequentially from Q2 2025, from increased consumption-based revenue largely driven by VDR and stable recurring SaaS-based revenue. Overall, ARR from consumption-based customers increased 26% year-over-year and 74% sequentially from Q2 2025. Recurring subscription-based SaaS customers were up slightly by 3% year-over-year. As of Q3 2025, 73% of our ARR was from subscription versus consumption-based customers as compared to 76% at Q3 2024.
Total new bookings of $21.5 million, up $5 million or 30% year-over-year, primarily due to larger VDR bookings across our software customer base. Gross revenue retention continued to be above the 90th percentile. Total software products and services customers of 3,021, which was down 9% year-over-year, predominantly from our commercial enterprise sector, which includes lower consumption-based customers across Veritone Hire and the continuing impact of sunsetting legacy CareerBuilder customers post the June 2023 acquisition of Broadbean and smaller customers as we focus on larger ARR opportunities, offset by an increase across public sector, largely from the growth in public safety customers.
Q3 GAAP gross profit was $18.7 million, compared to $14.7 million in Q3 2024. An improvement of $4 million, largely driven by growth in software products and services, including VDR, with GAAP gross margin of 63.3% as compared to 66.6% in Q3 2024. Excluding noncash depreciation and amortization expense, Q3 2025 non-GAAP gross margin was 70.6% as compared to 71.2% in Q3 2024, a decline of 60 basis points. Note that included in Q3 2025, a certain onetime software revenue that has very high gross margins, while VDR gross margins remain close to approximately 40%.
As I will discuss later, we do not expect the same level of onetime software revenue to recur in Q4 2025. And as a result, are forecasting Q4 2025 non-GAAP gross margins to be closer to 60%.
Q3 operating loss of $15.8 million improved by $6.7 million or 29% year-over-year, primarily driven by the increase in gross profit, offset by lower operating expenses. Net loss from continuing operations was $26.9 million, an increase of $4.4 million or 20% compared to Q3 2024. The year-over-year increase was principally driven by an $8 million noncash charge in the estimated fair value of the earn-out expected from the divestiture of Veritone One recorded in Q3 2025 and a $2.2 million change in our Q3 tax provision, offset by the $6.7 million improvement in operating loss.
Non-GAAP net loss from continuing operations was $5.8 million as compared to $11.1 million in Q3 2024, a $5.3 million or 48% improvement. The improvement was principally due to the year-over-year growth in non-GAAP gross profit, coupled with lower operating losses driven by increased discipline on cost management. As I will explain further, these reductions will provide us with a more efficient cost structure as we manage towards our planned growth throughout the remainder of 2025 and targeted profitability in the latter part of 2026 and beyond.
Turning to our balance sheet. As of September 30, 2025, we held cash and restricted cash of $36.5 million as compared to $16.9 million at December 31, 2024. The net change in cash reflects net cash outflows from operations of $41.2 million, principally driven by our non-GAAP net loss of $25.6 million, deferred purchase consideration of $1.2 million, and interest paid on debt of approximately $5.8 million, coupled with the timing of working capital in the quarter, driven largely by the increase in AR due to the growth in revenue in the period. Offset by net cash inflows from investing and financing activities of $64.9 million, driven by net cash inflows of $70.9 million from equity offerings through Q3 2025, partially offset by $5.8 million in debt principal payments and $3.6 million in capital expenditures.
Turning to liquidity today. In September 2025, we completed an underwritten equity offering, selling 9.5 million shares of common stock priced at $2.63 per share and an overallotment of 1.4 million shares granted to the underwriter, which was exercised in full for total gross proceeds of $28.8 million. In October 2025, we completed a registered direct offering, selling 12.9 million shares of common stock priced at $5.83 per share for total gross proceeds of $75 million. Immediately following the October offering, we held cash and cash equivalents in excess of $100 million.
At September 30, 2025, our consolidated debt is down from a peak of $201 million in December 2021 to approximately $126.7 million. Subsequent to September 30, we paid down $3.6 million of our term debt through deferred purchase consideration received in October 2025, bringing our debt to $123.1 million, comprised of $31.8 million of term debt and $91.3 million of convertible debt.
Today, we announced that we have agreed in principle with certain debt holders to pay off 100% of our senior secured term debt and buy back 50% of our convertible notes for a total of approximately $77.5 million of consolidated debt principal in exchange for approximately $77.5 million of cash and 625,000 shares of our common stock valued at today's closing price. Immediately following this debt payoff, our unencumbered consolidated cash is approximately $34 million, which is sufficient to fund our operations over the next 12 months at a minimum. Post this paydown, our remaining debt will be approximately $45 million, comprised solely of our 1.75% convertible notes due November 2026.
By completing this transaction, we free up an estimated $13 million of annualized debt carry costs and substantially improve our liquidity position and future cash flow outlook.
I want to underscore what an impressive and important step reducing our debt is. The improved flexibility and stability we now have as a result of our strengthened balance sheet will allow us to focus on reaching our growth potential to meet the hyper growth market opportunity we face. That said, we will continue to be opportunistic with continued focus on further improving our current liquidity position and balance sheet.
At September 30, 2025, we had 7.9 million shares issued in outstanding and 2.5 million warrants outstanding to our debt holders.
Now turning to updated fiscal Q4 2025 and full year 2025 guidance. Our software products and services revenue pipeline and long-term outlook continue to be at all-time highs. More specifically, we continue to see strong demand across the approximate $10 billion global digital evidence management market, our public sector and VDR pipelines continue to grow. Collectively, our backlog and sales pipeline across our core AR platform is in excess of $200 million today. And as Veritone remains uniquely positioned to capture even more opportunity in the data as a currency market, we expect that pipeline and our potential to monetize our trove of tokenized audio and video to further increase.
More specifically, in Q4 2025, revenue is expected to be between $33.4 million and $39.4 million as compared to $22.4 million in Q4 2024, a 63% increase at the midpoint and 25% sequentially from Q3 2025. In Q4, we expect our software products and services to increase more than 75% year-over-year, led by the growth in public sector and commercial enterprise. Specifically, we expect our public sector revenue to grow close to 50% year-over-year, and our commercial enterprise revenue led by VDR to grow more than 75%. Our Veritone Hire products and services are included in this growth, and we expect Veritone Hire to be slightly down year-over-year given the current macroeconomic environment.
Consistent with Q3 2025, our managed services is expected to be down year-over-year, principally due to the representation side of our business, which is experiencing some slowness as a result of the more challenging macroeconomic environment. We expect Q4 non-GAAP gross margins to be approximately 61% to 60%, driven by the forecasted higher mix of VDR revenue in the period. Q4 non-GAAP net loss is projected to be between $1.5 million to $5 million as compared to $9.7 million in Q4 2024, representing a 66% improvement at the midpoint and a 44% improvement sequentially from Q3 2025.
Turning to fiscal 2025 outlook. We are updating our prior guidance for fiscal 2025, which we are expecting revenue to be between $109 million to $115 million, which at the midpoint represents a 22% increase year-over-year and non-GAAP net loss to be between $31.6 million to $26 million, representing a 29% improvement year-over-year at the midpoint. The change is reflected of the timing shifts in revenue, coupled with the compression in gross margins on VDR in 2025, which we expect to improve upon in fiscal 2026.
Before closing the call, I'd like to remind everyone listening that Veritone will be attending Needham's Virtual Sixth Annual Tech week, November 20 through the 24 and UBS' Global Technology and AI Conference, December 1 through the 4 in Scottsdale, Arizona. That concludes my prepared remarks. Operator, we would now like to open up the call for questions.
[Operator Instructions] And your first question comes from Joshua Reilly with Needham.
2. Question Answer
Nice job on the quarter here. Maybe just starting off on the Q4 revenue guidance, there's a $6 million range, obviously there between the high and the low end. Maybe we could just review what are the puts and takes that would get your expectations in the business to the high end of the revenue guidance for the quarter? And then maybe what would drive it to the lower end of the guidance for the quarter?
Yes. I think it's just timing and velocity on some of the larger VDR deals. Again, as I sit here today, obviously, I was very bullish in both the words that I chose and sort of my tone and disposition. So obviously, we're going to push to get to the highest. But again, relative to the size and magnitude of some of these VDR deals and some of the commercial deals and some of the, I'd say, to a lesser third degree, the timing on some of the public sector Fed deals, that's really going to be sort of the inputs to the ranges. But as I sit here today, very, very optimistic, very excited and most importantly, we have, I'll say, a very mature pipeline to substantiate that range and give us the opportunity to hit the higher end of the range.
Got it. And then on the 100% quarter-over-quarter increase in the VDR pipeline, can you just help us understand what is -- what are you doing from a go-to-market perspective to kind of drive that pipeline growth? And then as we look forward into 2026, are you expanding the go-to-market efforts there to further expand the VDR pipeline? Or do you kind of have the people in place to manage the upside opportunity there? Maybe kind of help us understand the dynamics there?
So this is a really exciting one. And I want to be clear, I mean, a lot of our growth, obviously, this conversation today was dominated by VDR, but there's the other side of VDR, which is the supply side. And that's the side that, frankly, before we even introduced the concept of VDR, we've been servicing and selling AI-based software to a lot of media and entertainment and content groups for years. So again, where we see the great opportunity, and what makes us very, very unique as compared to really anybody who's in the AI training data ecosystem is that we -- to be clear, we represent and generate revenue from both sides, right? Again, both from the buy side, those are the hyperscalers and the model developers we're selling to, but also the representation side, those are the media entertainment and other data suppliers that we represent, but also have been selling software, too.
So again, your question specifically, as I stated in my prepared remarks, we do believe that we will be engaged in doing the active projects and business with nearly all, if not 100% of the major buyers today in the space, but the space is growing quickly. And so what we're very focused on is to make sure that not only are we continuing to take care of the larger transactions with the bigger AI model development shops, but also, we do believe because of the cost basis for compute, storage, et cetera, continues to come down, we do believe that there's going to be more entities, different companies to sell to, to sell these training data sets too.
So we do believe that we want to continue to strategically expand our sales force. We are building a pretty reputable brand as it relates in the AI training data market. But we -- but to be clear, we want to make sure we don't simply focus on the buy side. We continue to want it and what we have seen. We do really didn't touch upon it that much in my prepared remarks. But we are also seeing an increased velocity of the data providers coming to Veritone. We signed a multitude of different -- we obviously mentioned a couple of the bigger brands on my call, but we saw a multitude of different customers now coming to us not only for the VDR solutions, but for our AS software side of the equation.
So again, I wanted just to summarize that, we are unique in the sense that we sit and represent and sell to both sides of the equation, the sell side and the buy side. And yes, we will be investing strategically more into the go-to-market to increase velocity to make sure, again, that that's not a limiting function going into next year.
Got it. That's very helpful explanation there. And then maybe on the Q4 guidance for the public sector, I believe you said it was going to be up 50% year-over-year. How much of the -- what are you factoring in on the federal side with the government shutdown, obviously, still in place here to kind of hit that number? And are you making any assumptions that some federal -- U.S. federal deals closed and kind of hit that number, which would require the government to reopen? Or just kind of how are you kind of calibrating those assumptions?
I think we've taken that into the handicap for that guide. Obviously, as a percentage of the overall revenue base, it's not that large. And so meaning to sway us to take a more pessimistic view of hitting that guide. To be clear, we still are generating growth. We still are closing new businesses and revenue in the federal space. But have we seen potentially some delays in some of the revenues that would have contributed in this quarter, we have. Thankfully, the other sides of the business have grown just sort of outperformed, and so that's where we're extremely bullish overall. But again, the short answer is, like everybody, we hope this government shutdown ends sooner than later. And just what if all these things start hitting all cylinders.
So again, overall, we're very excited. And I think that a lot of investors need to when they're thinking about some of our market peers in the market, we're not a one-trick pony in a certain vertical, right? We have the exact same powerful technology stack aiWARE that's being sold effectively into both commercial and public sector, and I think investors should take note of that. So again, this is another great example of having a focused yet diversified business can be very, very attractive.
And your next question comes from Glenn Mattson with Ladenburg Thalmann.
I just know VDR is the bigger story, of course, but I wanted to just drill down on that public sector stuff for a minute. What I'm curious is -- is it that the federal shutdown is causing a bit of a slowdown. And in particular, is it related to that Air Force contract only because I want to understand if it's -- as I think about my forecast for next year, if there's like a snapback as a temporary thing or if it's maybe that something else going on? Just if you could elaborate.
No, I think this is a short-term blip. Again, in terms of at least my perspective for your modeling, that this was weeks, if not a couple of months delay. But again, it's not binary, to be very clear. So it will have a negligible overreaching effect on -- for your modeling for next year. And when you say snap back, again, a lot of the projects are active. But again, there are people that we were working with. Not the majority, but definitely individuals who were furloughed and put off, which, I'd say, may have contributed to some of the slowdown. But again, I'm not -- so I would say no, that should not impact in my mind, what you are -- in terms of your modeling or our excitement for overreaching public sector. But again, like many others, we did see some hit over the last several weeks.
Thanks for that color. And then as I think also kind of a model question. I don't know if you want to handle it, Mike. But when I think about next year. I mean, historically, the front half of the year for software and services was kind of a bit lighter in a stronger second half. If I -- if I have that right. And so that might be being overwhelmed by the VDR growth. How should we just think about seasonality next year? I know you're not necessarily guiding for next year, but just kind of the trend, the timing?
[indiscernible] want to give any guide -- yes, I'll take it. We haven't given any guide for next year. But to your point, a lot of the growth was in the back half of this year, and that should continue in the first half relative to year-over-year comparisons. If that's to kind of give you some direction.
[Operator Instructions] Your next question comes from Stephen Banta with Banta Asset Management.
Great quarter, and it looks like you guys are executing well against what you stated back in '23. I'm just curious if you can provide maybe a little bit of color around your strategy with Veritone Hire. It seems like the business in general is firing on all cylinders and is looking to be optimistic in the future. But when it comes to Hire, how are you guys looking at that? Do you have a strategy with regard to that business?
It is a very stable business. Obviously, as we've stated in the market -- on the calls relative to the other, I'd say, more hyper growth areas of the business. It's more or less flat or slightly down. But it is a very stable business. It is a meaningful contributor to the business in terms of cash flow. And so we'll keep all of our options on the table. Again, I think most importantly, on a relative basis to its peers in the marketplace in an industry where a lot of players in the space have been down anywhere from 10% to 20%, for business that's been flat, slightly down, we're outperforming. So as of all things, it is an important part of the overall Veritone portfolio and revenue base.
But like all things, we're going to keep an open mind about the future. But right now, we're pleased with the overreaching. I think the most important thing we want investors to look at is overreaching the improvement across the board at an aggregate basis of what we've been able to do both top and bottom line. And as of today, the Veritone Hire piece is an important part of that equation.
This concludes our question-and-answer session. I would like to turn the conference back over to CEO and Chairman, Ryan Steelberg for any closing remarks.
Well, thank you, everybody, for the call today. Obviously, we're looking where -- the company, we sort of fit in -- we are an AI company, but ironically, relative to what I think we've done is massive improvements on some of the legacy overhangs. We have been kind of operating, I feel, historically, with 1, almost 2 arms tied behind my back. And I think us as a collective company with our product portfolio being in this market, both -- I'll call the data and AI economy, we should all be very, very optimistic, excited and bullish about our prospects. Again, hopefully, we can continue to improve our multiple as a company relative to our peer group. But there's a lot of things that we needed historically to clean up. And as I stated clearly, I believe that we have cleared those up. And I think we're in a phenomenal situation.
Also I want to double tap before I sign off on that very unique situation we are, where we sit in the middle of providing great utility value both from data suppliers and for data acquirers, very unique. And I want -- and we're going to continue to talk about that and continue to press on that. It just provides tremendous growth and revenue diversity for the business. So thanks, everybody, for their time, and we'll speak to you soon.
The conference has now concluded. Thank you for attending today's presentation. You may now disconnect.
Veritone — Q3 2025 Earnings Call
Financial data from Veritone
Revenue
Revenue is the sum of all sales generated by a company, e.g. for its products or services.
Revenue (TTM) metric explainedDirect Costs
Direct costs are the costs incurred directly in connection with the manufacture of the product or service.
Gross Profit
Gross Profit indicates how much of the revenue remains in the company after deducting direct production costs. If the percentage share of sales is calculated, this is referred to as the gross margin.
Gross Profit metric explainedSelling and Administrative Expenses
Selling, general and administrative expenses (SG&A) include all expenses for marketing and sales as well as the general administration of the company.
Research and Development Expense
Research and development costs (R&D) provide information on how much the company invests in the research and development of its products. The costs are particularly interesting as a percentage of revenue and in comparison to direct competitors.
EBITDA
EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization) is the company's earnings before interest, taxes, depreciation and amortization. The EBITDA margin is calculated as a percentage of sales.
Depreciation and Amortization
Depreciation represents reductions in the value of the company's assets (e.g. due to wear and tear on machinery).
EBIT (Operating Income)
EBIT (Earnings Before Interest and Taxes) is the company's profit before interest and taxes, also known as the operating income. The EBIT Margin is calculated as a percentage of sales at
.
Net Profit
Net Profit represents the profit or loss after deduction of all costs.
Net Profit metric explainedStocksGuide Premium
| Jun '26 |
+/-
%
|
||
| Revenue | 88 88 |
3%
3%
100%
|
|
| - Direct Costs | 30 30 |
1%
1%
34%
|
|
| Gross Profit | 58 58 |
6%
6%
66%
|
|
| - Selling and Administrative Expenses | 91 91 |
2%
2%
104%
|
|
| - Research and Development Expense | 22 22 |
14%
14%
25%
|
|
| EBITDA | -55 -55 |
2%
2%
-63%
|
|
| - Depreciation and Amortization | 25 25 |
14%
14%
28%
|
|
| EBIT (Operating Income) EBIT | -80 -80 |
6%
6%
-91%
|
|
| Net Profit | -109 -109 |
198%
198%
-124%
|
|
In millions USD.
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Veritone Stock News
Company Profile
Veritone, Inc. engages in the provision of artificial intelligence (AI) computing solutions to media and entertainment, government, and legal and compliance industries. It operates through the following segments: Advertising; aiWARE SaaS Solutions; and aiWARE Content Licensing and Media Services. The Advertising segment places advertisements for clients, primarily with radio broadcasters, podcasters and digital media producers. The aiWARE SaaS Solutions segment offers solutions through a combination of its direct sales force and indirect channel partners such as value-added resellers (VARs), distributors, system integrators, managed services providers, and referral partners. The aiWARE Content Licensing and Media Services segment sells and markets activities relating to its digital content licensing services business through its direct sales force. The company was founded by Chad Steelberg and Ryan Steelberg in 2014 and is headquartered in Costa Mesa, CA.
StocksGuide Premium
| Head office | United States |
| CEO | Mr. Steelberg |
| Employees | 442 |
| Founded | 2014 |
| Website | www.veritone.com |
