Third quarter SaaS revenue of $105.5 million, representing 26% year-over-year growth, 26% on a constant currency basisThird quarter Total revenue of $131.1 million, representing 19% year-over-year growth, 20% on a constant currency basisTotal ARR of $495.1 million, representing 27% year-over-year growth, 25% adjusted for FX
JERSEY CITY, N.J., Nov. 04, 2026 (GLOBE NEWSWIRE) -- AvePoint (Nasdaq: AVPT; SGX: AVP), the AI Trust Company, today announced the appointment of Ali Rohani as Chief Strategy and Customer Officer, joining the AvePoint Executive Leadership Team.
The AvePoint Trust Platform makes data AI-ready, governs every agent across its lifecycle, and keeps businesses resilient – independent of any single cloud or AI provider New AI Governance and Security capabilities give one place to discover AI agents, models, tools, and MCP servers, apply policies, and produce audit-ready evidence New AI Cost Optimization democratizes AI budgeting and shows wh...
Second quarter SaaS revenue of $98.5 million, representing 27% year-over-year growth, 26% on a constant currency basisSecond quarter Total revenue of $124.5 million, representing 22% year-over-year growth, 21% on a constant currency basisTotal ARR of $465.1 million, representing 27% year-over-year growth, 24% adjusted for FX JERSEY CITY, N.J., Aug. 06, 2026 (GLOBE NEWSWIRE) -- AvePoint (Nasdaq:...
AvePoint Confidence Platform adds backup and recoverability for Microsoft Copilot Studio agents, making it possible for organizations to recover agents from a backup—a first-to-market development New governance controls extend to Salesforce agents, enterprise apps, Microsoft Power Apps, and Azure subscriptions and resource groups, automating lifecycle management and shared accountability New da...
Third annual State of AI Report finds organizations lack the trust layer required to scale AI safely, as governance gaps, deployment delays, and AI-generated data are compounding the challenge Third annual State of AI Report finds organizations lack the trust layer required to scale AI safely, as governance gaps, deployment delays, and AI-generated data are compounding the challenge
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