Adopt AI at full speed — in full control.
Staying competitive means adopting AI — and agents in particular — faster than anyone can comfortably govern. Brutor AI lowers the risk of moving fast — your AI will start bringing your business answers instead of raising more questions.
Brutor AI is the AI control plane — one place where all the AI your organization uses is governed, costed, and proven.
Brutor AI was built from the ground up to answer these questions — and more.
“Will agents do what we set them up to do in six months?”
They decide at runtime — and they often fail quietly. /shadow ai/“Do we even know how many AI systems run in our company?”
Eliminating shadow AI is a war, not a battle… /the ai you buy/“How do we make sure company data doesn’t leak to AI providers?”
ChatGPT, Microsoft Copilot — great tools. Are they being used safely? /costs/“How come our AI bill in July was 3× what we budgeted for?”
AI gets used more and more — and the charges grow unpredictably… /compliance/“What do we show the auditor?”
Policies state intent. Auditors ask what happened.Agents decide at runtime. That’s the point — and the problem.
A model chooses its own next step as it runs — so the test you ran yesterday can’t guarantee it will do the right thing today. And when one degrades, or quietly stops working altogether, nothing goes red: the calls still come back marked successful, so every dashboard you own says it’s fine.
Take your agents from pilot to production with Brutor AI — and know they keep doing what they’re supposed to, all day, every day, until you’re ready to retire them.
AI Systems Assurance — not just day 1. Day 201.
Any gateway can enforce a rule on the request in front of it. Judging whether an agent is still the agent you approved is a different problem — and AI Systems Assurance is unique to Brutor. Three things make it work:
Others govern the request in front of them. We answer for the agent, over its whole life.
From first permission to retirement. Explore Agent Control
There really is something for everyone.
Agents are the hardest thing Brutor governs — but they aren’t the only thing, and IT isn’t the only team that gets something out of it. Each role gets its own answer.
IT & decision makers
Everything under control in one place — Mission Control for watching, Admin Console for deciding. One project instead of five. Less risk, lower cost.
The Control PlaneDevelopers
One base URL. No new SDK, no instrumentation, any framework they already prefer — and governed from the first call.
DevelopersYour people
They will thank you. The User Portal connects to company data safely, gets to know them, and picks the right model for the job — better than the app it replaces.
User PortalCISO & compliance
Evidence produced where enforcement happens. Shadow AI surfaced, agents accountable, frameworks tagged, audits answered.
ComplianceIt all rests on one governed path.
Right now your AI calls leave for a vendor endpoint without passing through anything you built: not your API gateway, not your logs, not your identity provider. Point them at the Brutor AI Gateway instead — one base-URL change — and every call is checked on the way through and recorded on the way out.
Being in the path is what makes everything below possible. Enforcement produces the record; the record becomes your costs, your proof and your assurance. Buy those separately and you are the integration.
And the same plane holds the AI you can’t route. What you route is governed. What you buy is observed — imported and accounted for. What nobody registered is discovered. Every asset sits in one registry in one of those three states, and moving anything from the second or third into the first is the whole game.
The AI you can’t see is the AI you can’t govern.
Brutor AI helps you discover the AI in use across your organization — the tools, agents and MCP servers nobody registered, quietly touching data nobody approved — and onboards as much of it as possible with a pre-filled form.
ChatGPT and Copilot run in the vendor’s app — off your path.
Some of your AI can’t be onboarded at all. Nothing can stand in the path of those calls — not Brutor, not anyone. But Brutor still brings the information over, so you can start addressing the big challenges before you’re ready to onboard anything.
A better answer than a policy memo
People reach for ChatGPT because it gets the job done. A rule telling them not to doesn’t change that — a better tool does. The Brutor User Portal gives them company data through governed connections and the right model for each task, on the same rails as everything else.
Reducing the ungoverned surface is the cheapest risk reduction you can buy. And every workload you move across converts from policy-and-trust into enforced-and-evidenced.
What the Brutor AI Control Plane does (article TBD)
Every state, one bill — and costs managed down, not just accounted for.
Every AI cost in one ledger, per run, agent, team and model. Budgets that warn before the limit and refuse at it. And on routed traffic, smart routing, caching and batching that cut the bill itself.
Compliance stops being a project.
Everything above writes its record at the moment it happens — so evidence is a by-product of running your AI, not a quarter-end scramble by people who already have a day job.
Walk into the AI audit with evidence. Explore Compliance
One size fits nobody. So you shape it.
You define how resource groups work — departments, teams, AI systems, however your company is actually organised. Set the models, policies and limits once at the top and every change cascades down automatically, so a new rule is one edit rather than forty. Inheritance is restrictive: a subgroup can tighten, never loosen — and neither can an agent.
Brutor under the hood — in one line.
From 39 providers — OpenAI, Anthropic, Google, Meta, open source — or your own.
/80+ mcp servers/Preconfigured, governed out of the box — plus any MCP you deploy yourself.
/byo observability/OTel, Prometheus, Grafana, Loki — plug Brutor AI metrics into the system you already run.
/zero-overhead proxy/Rust proxy with no detectable latency cost at tested concurrency. Faster under load. Production-stable.
/streaming guardrails/Responses screened token by token, as they stream — stopped before they land, not after.
Deploy your way — on-premise or SaaS.
PREM On-premise
CLOUD Private cloud
LABEL White-label
Put every model, tool and agent on one governed path.
Agents proven from day 1 to day 201. Shadow AI found and onboarded. The AI you buy accounted for. Costs managed down, and the evidence already written. Start with one workload and a base URL.