Company Brain

AI that makes companies executable.

Every company runs on knowledge that lives nowhere useful — Slack, old emails, someone's head. AI agents fail because they don't know how the company actually works. Datbrain fixes that.

Request early access → See how it works
skills/create_proposal.skill
v3 · auto
# Auto-generated from 12 proposals + Slack skill: create_proposal trigger: "new client request"   steps:   - detect_scope(client)   - apply_pricing:     social: €1,200/mo     ads: 15% spend     bundle: -10%   - draft_proposal(template_v3)   - route_approval if > €3k   - send() & log_crm()
The problem

AI agents don't fail because of models. They fail because companies aren't readable.

Pricing rules in someone's head. Processes in Slack. The last decision in a thread nobody can find. Agents don't have a chance.

⨯ Today

Agent without a company brain

User
New client wants social + ads. €6k budget. Prep the proposal.
AI Agent
I'll create a proposal. I don't have your pricing structure — could you share the rates? Also, do you require manager approval for this size? Should I follow a specific template?
✓ With Datbrain

Agent calls a skill — done

User
New client wants social + ads. €6k budget. Prep the proposal.
AI Agent · create_proposal
Drafted: €2,100/mo (social €1,200 + ads 15% × €6k). Routed to Luca for approval (>€3k rule). Logged in HubSpot. Follow-up reminder in 3 days.
How it works

From scattered knowledge to executable skills in three steps.

Connect once. Datbrain reads how your company actually works, structures it, and exposes skills any AI agent can call.

01

Connect your sources

Slack, Google Drive, Notion, Gmail, HubSpot, Zendesk. Datbrain ingests where your company actually operates — not where you say it does.

02

Extract the brain

We detect recurring workflows, decision rules, pricing logic, and operational patterns. Auto-generated. Auto-versioned. Always current.

03

Agents execute

Any AI agent — Claude, GPT, n8n, Zapier, your own — calls skills via API. No searching. No hallucinating. No prompt engineering.

Not search. Not chat. Execution.

There are tools that find information. Datbrain is built so AI can do the work.

Capability
Glean / Notion AI / Guru
Datbrain
Find information faster
Yes — strong
Yes — secondary
Agents can execute company workflows
No — they search
Yes — native
Versioned, machine-readable skill schema
No
Yes — open format
Auto-detects decision rules & pricing
No
Yes
Built for AI agents as the primary user
Built for humans
Built for agents
Starting vertical

For service companies running on repetitive, high-context workflows.

Marketing agencies, consultancies, ops-heavy teams. The places where context-switching is most painful and the ROI of automation is most measurable.

// onboard_client

Client onboarding

From signed contract to first call. Agent runs the full sequence — welcome email, channel creation, AM assignment, briefing, kickoff scheduling.

// create_proposal

Proposal generation

Apply your real pricing rules, not hallucinated ones. Route through your actual approval flow. Match your real templates.

// monthly_report

Reporting & follow-ups

Pull metrics, draft commentary, send by your actual schedule. Tone, format, recipients — all matched to how your company really does it.

// handle_request

Inbound triage

Diagnose the request, ask the right missing questions, route to the right person, log everything. The boring ops layer, automated correctly.

Make your company executable.

We're working with a small group of design partners — marketing agencies, consultancies, and AI-forward service teams. If you've been hitting the same wall, we want to talk.

hello@datbrain.ai →