AI gateway
An AI gateway is a single service that sits between a company's applications and the AI model providers it uses. Every request passes through it, so access, routing, data rules, budgets and logging are applied in one place.
Why it matters for companies
Without a gateway, each team opens its own provider accounts, and IT has no single place to see who uses which model, where the data goes or what it costs.
A gateway turns those questions into settings: one contract, one set of keys, one log, and the same rules for every tool that calls a model.
Example
A company with 200 developers points Claude Code, an internal chatbot and a document pipeline at one gateway endpoint. Security sets one rule that every request is served in Europe, and finance sees spend per person and per app.
How Standard Compute handles it
A single API gives you frontier and open-source models, and it routes each step to the cheapest model that can do it and the cheapest provider fast enough to serve it.
Set a Europe rule for your company, a team or a single key, and every request, including retries and fallbacks, is served only by approved European inference endpoints. If no European endpoint can serve it, the request is refused before your prompt is sent.