AvePoint (AVPT) investor relations material

Market positioning and industry trends

• Specializes in cloud data management, governance, and security, with a strong presence in Microsoft Cloud and expanding into Google, Salesforce, and Atlassian ecosystems.

• Focuses on AI governance, agentic asset governance, and cost control, positioning as the AI trust layer between enterprise data and AI models.

• Addresses top concerns of AI risk and cost for enterprises, supporting multi-cloud environments.

• End-to-end platform offers risk management, cost management, resiliency, and data protection.

• TAM is expanding rapidly due to broader cloud coverage and increased AI adoption.

Product innovation and AI integration

• Launched AgentPulse for AI agent governance, enabling discovery, monitoring, and control of thousands of AI agents per customer.

• Introduced Kinetic Classification for dynamic, real-time content reclassification based on policy and data changes.

• Opus product supports AI-driven lifecycle management, taxonomy discovery, and storage optimization to reduce costs and maintain compliance.

• Internal AI initiatives include using GitHub Copilot, automated QA, and AVA (virtual assistant) for proactive risk identification.

• Offers agentic experiences, allowing business users to interact with data via AI rather than traditional UIs.

Financial performance and business model

• Achieved 13 consecutive quarters of double-digit net new ARR growth, with 87% of revenue recurring.

• Control Suite customer base doubled in Q2 after AgentPulse launch; customers are managing rapidly increasing numbers of AI agents.

• Pricing is predominantly seat-based, with consumption-based models for high-data or compute workloads; partners account for nearly 60% of revenue.

• Seat-based licensing remains preferred for predictability, despite industry flux and AI-driven changes in user dynamics.

• Investments are increasing in go-to-market and technology to support TAM expansion and sales efficiency.