AI inference you can ship without the complexity
One endpoint. Automatic routing. Built-in failover.
Your models, one place, no infra to chase.
One endpoint that routes requests to available GPU capacity, with health checks, retries, and failover built in.
We are inviting teams gradually, based on fit and capacity.
Why AI inference feels harder than it should
Production inference usually turns into a pile of providers, GPU capacity decisions, and glue code that nobody wants to own long term.
Too many moving parts
Model servers, schedulers, GPU pools, and billing need to stay in sync. Every new layer adds configuration, edge cases, and more ways things can fail.
Infrastructure steals focus
Teams lose time debugging nodes, quotas, and cold starts instead of improving the product experience. Infra becomes the default work.
Costs are hard to reason about
Fragmented usage and unclear tradeoffs make it difficult to forecast spend, compare GPU tiers, and route workloads confidently.