Manage multi-agent AI concurrency, policies, and interoperability

Manage multi-agent AI concurrency, policies, and interoperability targets a $6.0B = 150,000 relevant software teams and mid-market/enterprise buyers × $40K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% = estimated growth for AI developer tools and MLOps categories (industry analyst synthesis: Gartner/Forrester estimates for AI tooling acceleration).

Key trends driving demand: Trend — Growing adoption of multi-step and autonomous agent patterns increases the need for orchestration and conflict resolution, creating demand for dedicated tooling.; Trend — Enterprises require policy, auditability, and access controls as AI touches sensitive data, generating opportunity for governance-first products.; Trend — Proliferation of agent frameworks creates interoperability pain points, so a single control plane that integrates multiple frameworks becomes valuable.; Trend — Rising operational costs for LLM usage push teams to adopt orchestration layers that optimize inference usage, reuse results, and apply quotas..