Most organizations are already using AI. Almost none have it under control.

Token budgets are blown by individual developers before anyone notices. Confidential data is pasted into public chatbots. Compliance teams can't answer the question "who used which model, with which data, when, and why" — because the systems issuing the access were never built to record it. Adoption is racing ahead, governance isn't keeping up, and the bill almost always arrives before the policy.

Brutor is the AI governance platform built to close this gap.

The Brutor AI Platform sits as one governed layer between every user, every model, every MCP tool, and every agent in the organization. Token caps and dollar budgets are enforced in real time. Per-team resource groups mirror your real org chart, with two layers of inheritance — resources additive, governance restrictive — so the most restrictive policy always wins. Every prompt, response, tool call, and agent message is captured in a connected audit trail.

We ship the full stack as one product: the Brutor AI Gateway (Rust core, under 5 ms governance overhead), the Brutor User Portal (a multi-model AI workspace people actually prefer to public AI), the Admin UI, and Brutor Studio for developers. Three hundred preconfigured AI models and eighty MCP servers are ready to use from day one. Guardrails, semantic caching, native A2A v1.0, and policy-as-code are built in — not bolted on.

Deploy on-prem, in your private cloud, or as Brutor SaaS — your data lives where your regulator demands.

Brutor is built for IT decision-makers, finance teams, compliance officers, and the developers and end users they support — the people now expected to make AI safe and accountable without slowing down the organizations that depend on it.

Brutor AI

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Brutor AI

Org chart

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