Context Inference
Serve your models where your data lives.
Managed inference inside your VPC: frontier models over private endpoints and the distilled models you own on dedicated capacity, behind one router that always picks the cheapest model that clears your quality bar.
Private endpoints
Frontier and open-weight models reachable without traffic leaving your network.
Dedicated capacity for owned models
The distilled models trained on your work, served on capacity you control, at cost you can predict.
Cheapest-sufficient routing
Each request routes to the least expensive model verified against your rubrics for that workflow tier.
Cost telemetry per team
Spend broken down by team, workflow, and model tier, so finance sees where inference dollars go.
Context Inference is part of the Context platform and works best with Engine. It deploys standalone, and everything it captures joins the same context graph, evals, and audit trail.