The hard parts of running AI in production — cost, reliability, and data residency — handled by the layer in front of every model.
Model bills climb every month with no control surface, and no one can say which calls drove the cost.
Every request goes to the cheapest model that still clears the quality bar.
Hard budgets per key and team, with alerts before you blow through them.
Every call is logged with model, tokens, and exact cost — so spend has an owner.
A single upstream degrades or rate-limits, and your product takes the outage with it.
The router retries the next healthy model in the chain transparently — no client changes.
OpenAI, Anthropic, Google, Mistral, Groq, and your own nodes behind one API.
Degraded providers are skipped automatically until they recover.
Regulated prompts legally can't go to the public cloud, but your AI stack lives there.
Keep PII-flagged traffic on your own Ollama or vLLM node — it never leaves your network.
Bind jurisdiction-sensitive requests to in-region models with central policy.
Prove where every request ran with an immutable, exportable audit trail.
Start free on the Developer tier, or talk to us about dedicated capacity and on-prem routing.