Enterprise AI gateway platform

One place to control how your business uses AI.

AI Gateway HQ sits between your software and the AI services it calls. It checks who is asking, what they are allowed to use, what the request may cost, and where it should go—before a provider charges you. Your applications keep one connection while administrators change limits, providers, and backup rules centrally.

  • Control spend before it happens
  • Keep applications running
  • See who used what
Working sandbox capture
The operational picture stays connected.Requests, estimated spend, policy outcomes, route coverage, and payload-storage posture come from the working test control plane.
What it does

One connection. Three business controls.

A gateway does not replace the AI models your teams choose. It gives the business a consistent control point before and after those models are used. Read the plain-language AI gateway guide.

Before

Check access and budget

Confirm the caller, the allowed models, and the available budget before committing money.

During

Choose an approved route

Select an eligible provider and use a compatible backup when operating conditions require it.

After

Record cost and evidence

Attribute activity to its owner and retain the decision, timing, and cost metadata needed for review.

Keep AI available

Send each request to an approved model that can handle it.

Use the best eligible provider for the job, and move to a compatible backup when a provider is slow, unavailable, or over budget.

See how it works
Apply the rules

Decide what people and applications are allowed to use.

Set model, tool, data, and usage rules once. The gateway checks them before a request reaches an AI provider.

See how it works
Protect access

Keep provider credentials out of application code.

Give each workload its own limited gateway key while identity, provider credentials, and audit evidence stay centrally controlled.

See how it works
Control spend

Stop unapproved cost before the provider charges you.

Apply prepaid balances and hard limits by company, team, or workload, then reconcile the estimate against reported usage.

See how it works
From usage to business evidence

Know who spent the money—and what the business got back.

Controlled requests can be tied to the company, workload, budget, and company-approved result they support. A company keeps authority over its evidence while an authorized parent or investor can review a consistent portfolio view.

Evaluate before production

Test a gateway before production.

Use a 12-test scorecard to check integration, identity, routing, failure handling, hard budgets, cost reconciliation, policy, retention, audit evidence, enterprise access, isolation, and release proof.