The Company Brain · Make your company legible to AI

Your AI agents don't know
how your company actually works.

Gheist captures every decision, conversation, and commitment across Slack, meetings, and shared docs — then makes your company legible to any AI agent or human teammate. Build the Company Brain. Stop prompting your agents to death.

1.8 hrs
Average time knowledge workers spend each day looking for information
McKinsey, "The Social Economy"
42%
Of company knowledge is held only in employees' heads, never written down
Panopto Workplace Knowledge Survey
9 wks
Average new-hire ramp before a knowledge worker feels productive
Gallup / industry benchmarks

Grounded in the tools your team already lives in

Slack Google Drive Gmail Zoom Notion Confluence Microsoft Teams Fireflies Jira GitHub

More integrations shipping continuously. Missing a tool? Tell us

The problem

Your company runs on knowledge
that lives nowhere your agents can reach.

Half the things your team has already decided live in Slack threads, meeting recordings, and shared docs nobody will open again. Your senior people become the human cache. Your AI agents hallucinate because the public internet doesn't know about ADR-0047 or the deal you closed last Tuesday. The faster you grow, the worse it gets.

01

You re-decide things you already decided

"Should we go with Stripe or Adyen?" — except that decision was made nine months ago in a Slack thread, and the four people on it can't remember why. Half your meetings are re-litigating settled ground.

02

Your senior people are the cache

Every "how do we do X again?" becomes a DM to the same five people. Your best operators stop shipping because they're answering the same questions on a six-week loop. The cache becomes the bottleneck. Then it quits.

03

Onboarding takes a quarter when it should take a week

A new hire's first 90 days are 60% asking around. The institutional context they need exists — it's just scattered across 4,000 Slack messages, 200 meeting recordings, and a wiki nobody updates. They give up and just ask @sarah.k.

Build the Company Brain.
Train agents that just work.

Gheist turns every Slack thread, meeting decision, and shared doc into typed, cited KnowledgeUnits — then serves them to humans and agents over a single context layer. Your team stops repeating itself. Your agents stop hallucinating.

See the three pillars

The platform

One Company Brain.
Three compounding wedges.

Gheist is not a wiki. Not enterprise search. It's the missing layer between what your team actually says and decides — and every human or AI agent that needs that context tomorrow.

Pillar 01 — Capture & Structure

Every conversation becomes a typed KnowledgeUnit

Gheist watches your Slack, Google Workspace, meeting recordings, and shared docs — and passively extracts decisions, commitments, action items, and tacit knowledge. Each becomes a first‑class, typed, queryable unit with full provenance back to the original message, doc, or meeting.

Goal: continuous capture of your team's institutional memory. Zero behavior change required from your team.

Ingesting · 12,847 units (illustrative)
Decision
slack · #product
Sequencing the launch: soft beta May 12, full launch May 26
Action item
meeting · 4/22 leadership
Maria owns pricing finalization by EOW
Commitment
drive · Launch v2 plan
SOC 2 readiness assessment complete by July
Ask the org, not the person
"What did we decide about our launch sequencing in last week's planning?"
Soft beta May 12, full launch May 26. Decided in 4/22 leadership planning. Pricing finalized in #product-launch on 4/24. Maria owns the announcement comms.
Sources: meeting notes 4/22 · 3 Slack threads · 1 drive doc
@maria.k was not disturbed
Pillar 02 — Scale Humans

Your team stops being the cache

New hires, cross-functional partners, and anyone who needs context asks Gheist in plain English and gets cited, high‑confidence answers — with links to the exact thread, doc, or meeting that contains the original. Senior people reclaim their focus. Onboarding compresses from quarters to weeks.

Goal: cut interruption-driven DMs and compress new-hire ramp from quarters to weeks.

Pillar 03 — Train Agents That Just Work

Your Company Brain feeds every AI agent in your stack

The same institutional memory that answers your team's questions trains the agents your team is building. Support agents that know your customer history. Sales agents that know your deal patterns. Ops agents that know your runbooks. All grounded in your company's real signal — not the public internet, not hand-written prompts.

Goal: agents that work on day one, and get smarter every day after. Stop prompting them to death.

support-agent — grounded by gheist
# Customer asks: "What's your B2B refund policy?" > querying gheist for context... Decision · 4/12 leadership planning 3 prior cases · #cs-team Slack Contract template v2.4 · drive # Agent response (grounded, cited): B2B contracts have a 30-day refund window per the 4/12 leadership decision. Most recent precedent was Acme, resolved 4/18. Recommended response: "Yes, within the 30-day window per your contract..." # No prompt engineering. No hand-written context. # Just your Company Brain doing its job.

How it works

Four stages. One compounding loop
of institutional memory.

1

Ingest

Connect Slack, Google Workspace, meeting tools, and shared docs. Gheist pulls messages, threads, transcripts, and documents continuously.

2

Structure

Our extractors detect decisions, commitments, action items, and tacit knowledge — and normalize them into typed KnowledgeUnits with full provenance.

3

Transfer

Anyone on your team queries through the web app. Every answer cites the source. Every claim is auditable.

4

Compound

Humans validate, edit, and add. Gaps surface and get closed. Your memory layer gets denser every week.

Pricing

Pay for knowledge, not seats

Unlimited humans. Credits scale with captured units and queries served.

Team

For fast-moving teams ready to stop losing their memory

$500 /mo

Up to 25 teammates · 5,000 credits

  • Slack, Google Workspace, meeting capture
  • Web app — cited answers, ownership maps, gap detection
  • Slack & email support
Start free trial

Enterprise

For orgs where institutional continuity is mission‑critical

Custom

Unlimited credits

  • Everything in Business
  • SSO / SCIM, audit logs (roadmap)
  • VPC deployment, on‑prem option (roadmap)
  • BYO models (roadmap)
  • Dedicated founder partnership during the founding-customer phase
Talk to us

1 credit ≈ 1 unit ingested or 10 queries served. Your cost scales with value, not headcount.

From the founders

Why we built Gheist.

We've spent the last decade watching great companies lose their memory. Someone senior leaves. A reorg hits. The team doubles in size. Suddenly half the people are re‑deciding things the other half decided two years ago — and making the same mistakes along the way.

Then AI agents arrived, and the problem compounded. Every team is shipping copilots, support agents, ops automations. None of them know how the company actually works. So they hallucinate, and you fix them by writing more prompts. Then more. Then it's a full-time job.

The thing is, the memory exists. It's in your Slack. It's in last quarter's meetings. It's in that shared doc nobody opens. It's just not findable, not connected, and not queryable — by humans or agents.

Gheist is the Company Brain. We capture what your team actually does — what got built, reverted, discussed, and shipped — and we make it queryable in plain English by anyone (or any agent) who needs the context. So your team stops repeating itself, and your agents stop hallucinating.

We're shipping fast because YC's Tom Blomfield called for exactly this in the Summer 2026 Requests for Startups, and Diana Hu wrote about the connective layer that makes a company "legible to AI by default." We agree, and we're building it. If you're running a team and an AI agent program at the same time, we want to talk.

— Jose Iragorri

Founder & CEO, Gheist.io

Frequently asked questions

How is Gheist different from enterprise search (Glean, Elastic)? +
How is Gheist different from Notion AI or Confluence AI? +
How is Gheist different from Otter or Fireflies? +
Does my team need to change how they work? +
Is our data safe? Does Gheist train on it? +
How do AI agents fit in? +
How long does setup take? +
What does "credit‑based pricing" actually mean? +

Build the Company Brain.
Train agents that just work.

Connect Slack, point at a few meetings, watch your company become legible to every human and AI agent who needs context.