The control plane for AI specialists.
Each specialist is a dedicated AI worker for one tenant. Provision, isolate, control, and dispatch through one API. The layer between your business and the models it runs on.
How it works
A control plane decides which specialist handles which request, and how it gets provisioned, isolated, and controlled. Each instance is dedicated to one tenant. Tenants cannot see each other's data, secrets, or runtime.
Provision
Spin up dedicated AI specialist instances per team or per tenant. Each gets its own runtime, storage, and lifecycle, created from a template.
Isolate
Multi-tenant groups keep every tenant's specialists, data planes, and secrets separated. What tenant A runs, tenant B can never see.
Control
One JSON CRUD API over every specialist: create, read, update, delete, restart. Secrets are resolved from environment variables at the platform level, never stored in the database.
Dispatch
A workflow engine routes each request to the right specialist. The retrieval brain, about 100 routing modules, and layered memory make the decision in milliseconds.
Every control action is HTTP.
No bespoke tooling, no SSH into the orchestrator. The full control surface is a JSON CRUD API, the same interface the dashboard uses, available to your systems.
Tenant-safe by construction.
Multi-tenant SaaS with real isolation, not just naming conventions. Tenants get dedicated specialist instances, isolated data planes, and connection-scoped secrets that never touch the application database.
The stack ships as a de-branded ERP core plus Docker Compose. You run it on your own infrastructure, with a dark technical skin.
Tell me what you are building.
If your workload needs its own control plane, whether for transcripts, retrieval, routing, or tenant isolation, the fastest way forward is a conversation.