The control plane for AI specialists.
Provision dedicated AI specialist instances. Isolate them per tenant. Control them through one API. Dispatch work to the right specialist. The infrastructure layer between your business and the models it runs on.
Four verbs. One platform.
A control plane is the layer that decides which specialist handles which request, and how it is provisioned, isolated, and controlled. Every specialist instance is a dedicated AI worker for one tenant - never shared, never cross-wired.
Provision
Spin up dedicated AI specialist instances per team or per tenant. Each gets its own runtime, storage, and lifecycle - created from a template, not by hand.
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 at the platform level from environment variables - never stored in the database.
Dispatch
A workflow engine routes each request to the right specialist - the retrieval brain, ~100 routing modules, and layered memory decide 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 boundaries, not 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 - your own infrastructure, under your own control, with a dark technical skin.
Tell me what you are building.
If your workload needs its own control plane - transcripts, retrieval, routing, tenant isolation - the fastest way forward is a conversation about it.