Manage concurrent AI agents with safe orchestration and policy controls

Manage concurrent AI agents with safe orchestration and policy controls targets a $6.0B = 60,000 businesses × $100K ACV total addressable market with medium saturation and a year-over-year growth rate of 30-40% YoY growth in AI developer tooling and MLOps spend (industry estimates from multiple market research reports on AI platform spending).

Key trends driving demand: Shift from single-model apps to agent-based automation — Teams need orchestration layers that handle concurrency, retries, and conflict resolution.; Multi-vendor model consumption — Organizations use multiple model providers which creates demand for model-agnostic orchestration and cost controls.; Increased regulatory and enterprise security scrutiny — Companies require audit trails, policy enforcement, and sandboxing for automated agents.; Rise of policy-as-code and observability — Customers expect programmable security policies and lineage for model-driven decisions..