Close AI risk gap by automating model governance and policy enforcement

Close AI risk gap by automating model governance and policy enforcement targets a $20.0B = 200K organizations × $100K ACV total addressable market with medium saturation and a year-over-year growth rate of 20% YoY in AI governance and model ops demand (Gartner & Forrester estimates for ML ops/governance sector).

Key trends driving demand: Regulatory pressure is rising globally, which forces enterprises to invest in auditable AI controls and compliance reporting.; Shift to API-hosted models and managed model infra makes it easier to instrument and monitor models at runtime, lowering implementation barriers.; Centralization of AI risk management within compliance and legal teams is creating demand for products that translate technical telemetry into audit-ready artifacts..