Run AI agents on your company knowledge — without the hallucinations.
Zerebra is the AI knowledge framework for everyone who wants to run multi-agent systems on their own company data. It turns your documents into curated knowledge bases that AI agents answer from — with a citation for every claim.
Company brain.
Your company knows a lot. Your AI doesn't.
Decades of expertise live in your manuals, contracts, spec sheets, and reports — scattered across SharePoint, shared drives, and folders no one has opened in years. The demo dazzles, until you point it at your real documents. Then it invents an answer, cites nothing, and you have no idea where the number came from.
Move fast and lose control
Pour budget into a black box that hallucinates, leaks data, and can't be audited.
Stay safe and fall behind
Wait, while competitors turn their knowledge into an advantage.
You shouldn't have to choose between innovation and control. That choice is the problem we exist to remove.
We've watched AI projects fail on real data. So we built the framework that doesn't.
Zerebra is built on one non-negotiable principle: an AI agent should only answer from knowledge it can prove.
Grounded, cited answers
Every response points back to the exact source document and page. No source, no claim.
Your data stays yours
Run on your own infrastructure. Credentials are encrypted. Nothing locked into someone else's cloud.
No lock-in — at either layer
Switch LLM providers freely. And build your agents in Zerebra or in the tools you already use — Google, Microsoft Copilot Studio, anything — because your knowledge bases stay open and accessible. The knowledge is the asset; the agents are interchangeable.
Curated, not dumped
Zerebra reads every page, structures the content, and fact-checks it against the source — so each knowledge base is clean and trustworthy before an agent touches it.
From scattered documents to a company brain — in four steps.
Bring in your documents
Your knowledge lives in documents — manuals, contracts, policies, spec sheets. Zerebra ingests them, reads every page, removes duplicates, and keeps them in sync, from wherever they already live.
Curate a knowledge base
Each KB is a curated domain with an accountable owner. The pipeline transcribes, fact-checks, and admits only on-topic content. Owners decide what their KB knows.
Compose agents — yours or ours
Build agents on one or more KBs. The same KB powers many agents — reused, never rebuilt. Use Zerebra's agents or connect your own builder over MCP.
Group into applications
Bundle related agents into one application — multi-language variants, multi-team suites, or a complete product — all on the same trusted foundation.
One brain, many minds.
Your company brain isn't one giant knowledge base that one team has to police. It's many curated knowledge bases, each with an owner, that combine into agents and group into applications — served over MCP, so the agents can be Zerebra's or the builder you already use.
ingest · dedupe · fact-check · admission control
Related agents bundled into one product — multi-team, multi-language.
Zerebra adds a brain. It doesn't ask you to rip anything out.
Knowledge flows in from the sources you already use, and back out to the agent tools you already use — over MCP, the open standard. No migration required.
Knowledge comes in
Many sources per KB · duplicates removed automatically
Knowledge goes out — over MCP
The connective tissue: MCP
Your knowledge bases are exposed over the Model Context Protocol — the open standard for connecting AI agents to data. The governed knowledge lives in one trusted place; any agent, in any tool, can reach it. You adopt a company brain without betting on one vendor's agent platform.
Built for leaders who are accountable for the outcome.
The cost of waiting isn't zero.
Every quarter your knowledge stays trapped, your teams answer the same questions by hand and your AI budget shows activity but no results. The first time a hallucinated answer reaches a customer or a regulator, “we were experimenting” stops being an acceptable explanation — while the competitors who solved this compound their lead.
Imagine your knowledge actually working for you.
A new hire asks a question and gets the right answer in seconds — with the source attached — instead of waiting two days.
Each team owns and curates its own knowledge base — and every agent across the company can build on it.
Leadership points to AI results that are grounded, governed, and measurable — not a demo, a deployment.
When someone asks “where did this answer come from?” — there's always an answer.
This is AI you can put your name on.
Stop demoing AI. Start trusting it.
Your company knowledge is your biggest untapped asset. Zerebra turns it into something your AI agents can actually, safely use.