Knowledge infrastructure for AI teams

Your AI agents keep failing.
They don't know how your company works.

Company Brain extracts, structures, and continuously maintains your institutional knowledge — then compiles it into an executable skills file that AI agents can use to do real work reliably.

Get early access See how it works

The output

A living skills file — not a wiki, not a search index

Company Brain continuously reads your sources — Slack threads, Notion docs, support tickets, databases — and compiles the extracted knowledge into a structured, versioned file that agents can consume directly. No hallucination. No stale context. Just ground truth.

SyncedUpdated automatically as sources change

StructuredMachine-readable, agent-consumable YAML/JSON

ScopedPermissioned to what each agent is allowed to know

skills.yaml● synced 2m ago

# skills.yaml — Company Brain output
company: "Acme Corp"
synced_at: "2026-06-11T14:32:00Z"
coverage: 94%

knowledge_objects:
  - id: escalation-policy
    source: slack:#eng-incidents
    last_updated: "2026-06-10"
    summary: >
      P1 incidents page on-call within 5 min.
      Rollback decisions owned by oncall lead,
      no approval required under 15-min window.

  - id: deploy-process
    source: notion:engineering-handbook
    last_updated: "2026-05-28"
    summary: >
      All deploys via GitHub Actions on merge
      to main. Staging auto, prod requires
      manual approval from eng-leads.

agents:
  - name: incident-responder
    skills_ref: escalation-policy, deploy-process
    status: synced  # context grounded

The problem

Why your AI agents keep getting it wrong

Context gap

Your agents know the general world but nothing about how your company actually operates. Every edge case becomes a failure.

Stale knowledge

You write context once in a doc that nobody updates. Agents act on 6-month-old information. Outcomes diverge from intent.

Constant babysitting

Engineers spend more time correcting agent mistakes than the agent saves. The ROI math doesn't close.

How it works

From scattered knowledge to grounded agents

Connect your sources

Point Company Brain at Slack, Notion, Linear, support tickets, databases, or any internal system. We ingest what matters.

Knowledge is extracted and structured

Our pipeline identifies policies, processes, decisions, and tribal knowledge — turning raw signal into structured knowledge objects with provenance.

Skills file is compiled and kept live

A versioned, machine-readable skills file is generated and stays synced as your sources change. No manual maintenance.

Agents consume grounded context

Drop the skills file into any agent framework or MCP-compatible system. Agents now have the institutional knowledge they need to work reliably.

Features

Infrastructure for how your company actually works

Continuous sync

Knowledge stays fresh automatically. When your Slack thread changes, the skills file updates. No manual exports.

Provenance tracking

Every knowledge object cites its source and timestamp. Agents can reference and explain their decisions.

Permission-aware scoping

Define what each agent or team is allowed to know. Skills files are scoped, not dumped wholesale.

Coverage metrics

See what percentage of your workflows have grounded knowledge. Fill gaps before agents encounter them.

MCP & API compatible

Drop the skills file into any MCP-compatible agent, LLM API call, or custom workflow. No vendor lock-in.

Audit trail

Full history of what agents knew and when. Compliance-ready and useful for debugging failures.

Use cases

Agents that know how your company works

Engineering

Incident response agents that know your runbooks

Instead of winging it or asking Slack, your on-call agent reads the actual escalation policy, rollback process, and ownership map — compiled from the sources where that knowledge lives.

Support

Support agents with institutional memory

Complex customer questions requiring cross-team knowledge get answered correctly. No hallucination about pricing, policies, or edge cases.

Operations

Process agents that stay current

Finance approvals, HR workflows, vendor renewals. Agents execute with the same knowledge a tenured employee would have — and never act on stale information.

Early access

Give your agents a brain

We're onboarding a limited set of early customers. If your team is already deploying AI agents, we want to talk.

Request early access

skills.sync() → context.grounded()

Your AI agents keep failing.They don't know how your company works.