The production backbone for building, orchestrating and operating enterprise AI agents — not another agent demo.
Teams can prototype an agent in an afternoon, then spend months bolting on the things production actually needs — tool permissions, memory, human approval, reliability, evaluation and an audit trail. This platform is the operating layer that makes agents safe to run at enterprise scale, with a clean separation between UI, API, orchestration, data and infrastructure.
Typed agent & workflow registry with full versioning
Human-in-the-loop approval gates for high-impact actions
Default-deny tool authorization with least-privilege scopes
Real-time run streaming over WebSockets with a complete audit trail
Multi-tenant isolation across data, vectors and tool permissions
CI-gated evaluation that blocks prompt/model regressions before release
Designed and reviewed against all ten — see how I evaluate every architecture.
I design and ship systems like this one — from architecture through to production.
