One gateway for everything.

Connect, route, and govern access to AI models through a unified gateway built for enterprise workloads.

Connect, route, and govern access to AI models through a unified gateway built for enterprise workloads.

One address for every model

Your code calls the gateway. The gateway decides which provider serves the request, and records what happened.

Send it to one endpoint
One API, one key, one request shape. Swapping a provider stops being a code change.
Let policy pick the model
Route by cost, latency, region, or capability, and fail over when a provider degrades.
Get the receipt
Every call records the model it reached, what it cost, how long it took, and who asked.

The work that appears the moment a second model, a second provider, or a second team arrives.

Failover that is not your problem
When a provider slows or errors, the next one in the policy takes the request without a deploy.
Spend caps that bite
Per-team and per-key ceilings enforced at the gateway, not discovered on the invoice.
Provider keys stay in one place
Applications hold a gateway key. The provider credentials never leave the gateway.
Repeat work costs nothing
Identical requests are served from cache, with the hit rate reported alongside the spend.

Providers: Anthropic, OpenAI, Google, Mistral, and any OpenAI-compatible endpoint you host.
Routing: Weighted, cost-aware, latency-aware, and region-pinned policies, with ordered failover.
Limits: Rate and spend ceilings per key, per team, and per model.
Caching: Exact-match and prompt-prefix caching, configurable per route.
Records: Every request retained with model, tokens, cost, latency, and caller.

What platform teams ask when a single component sits in front of every model call.

Change a base URL, send a request, and read the routing decision it made.