One chat. Every approved model. Policy built in.

Employees work in one familiar place. Leaders set policy before provider calls and see one trail for access, decisions, and cost.

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Automatic approved-model choice. Policy before the call. One audit trail.

Ask once in familiar chat and use every model your organization approves.

The employee path

Ask. Route. Answer.

Auto selects among approved models while policy and cost controls stay in the request path.

  1. One question

    Asked once in familiar chat

  2. Auto picks an approved model

    Policy and shared capacity decide the route

  3. One answer

    Returned with the route on record

Diagram of one question routed through four approved model lanes, with Gemini selected, to produce one answer. Policy checked before the call Route: approved model Answer returned · recorded

  1. Ask naturally

    Use Auto or choose an approved model directly.

  2. Route within policy

    Auto weighs the request and available shared capacity across approved models.

  3. Review the outcome

    Administrators see the policy decision, route, usage, and recorded savings.

For the people accountable

Review the outcome

Administrators see the policy decision, route, usage, and recorded savings.

RestrictAIChat administration view showing shared capacity, usage, routing decisions, and recorded savings.

01

For the people using it

Ask once in familiar chat and use every model your organization approves.

02

For the people accountable

Set policy before provider calls and review one trail for access, decisions, and cost.

Deployment services

Hosted by us, or installed in your environment.

Choose managed hosting for the shortest path to production, or run the Private Edition on infrastructure you control with our implementation support. Platform model access is standard for hosted service; the Private Edition uses credentials you control.

Deployment →

Managed hosting

We operate the agreed application environment and help configure your governed workspace.

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For members of an existing managed-hosting workspace.

Private Edition with implementation support

Run the Private Edition on infrastructure you control, with our team helping from architecture review through verified handover.

Sign in to the Private Edition demo →

For invited Private Edition evaluations.

Straight answers

What security teams ask before a pilot

Does RestrictAIChat train models on our data?

RestrictAIChat does not train a model on your prompts. Requests go only to approved providers.

Can a blocked prompt reach a provider?

A deterministic block stops the request before the provider call and records the rule without placing the matched secret in plaintext audit excerpts.

Is the audit log append-only and tamper-evident?

Audit rows are append-only through the application and hash-chained so changes can be detected.

What compliance evidence does the product provide?

RestrictAIChat records control IDs, policy snapshots, gate decisions, hash-chained audit events, and exportable evidence.

Pricing

Select capacity, not features.

Every option includes the complete product. Only shared premium capacity per seat changes.

Pricing →

Try the real workspace

Start with a live sandbox.

Explore for 24 hours with synthetic data and preconfigured provider access.

Try the live demo