Private beta
Your AI agents don't know how your company actually handles refunds.
Praxeum mines your whole company brain, wherever work happens: across your conversations and docs. Then it turns the parts your agents should act on into cited, human-approved, versioned skills they can run safely.
Examples, not a menu. Anything your team repeats that leaves a trail in Slack, docs, or tickets can become a skill.
The outcome
Your agents, finally trusted with real work.
Written down and provably correct
Every skill carries citations to the real thread or doc, a named approver, and version history.
Your existing agents act safely
No new agent to buy. Claude, ChatGPT, and others connect over MCP and act the way your company does, with a human on sensitive actions.
It stays true, and it's defensible
Drift detection keeps skills honest; an audit trail answers "under whose authority?"
The trust is in the details
Four artifacts do the governing.
Citations, versions, sign-off, and an audit trail: the real objects a Praxeum skill carries, so an agent acting on your behalf is always accountable.
Every claim cites its source
refund-policy#support-ops · Apr 12Agents carry the version they ran
v3 · approved by Sarah · May 12evidence current as of Jun 30Sensitive actions ask a human
Approve a $240 refund on an annual plan booked 41 days ago?
refund-exceptions
Every call is on the record
How it works
Exhaust in, verified skills out.
- 01
Connect & scope
Read-only OAuth to the Slack channels, Drive folders, and Notion spaces you choose, with more sources on the way.
- 02
Mine the exhaust
We extract how work actually happens, covering the steps, the decisions, and the exceptions. Conversation exhaust is the differentiator here; operational sources (ticketing, CRM, and more) are complementary and growing.
- 03
A human reviews & approves
Each skill arrives with citations, and your reviewer edits, approves, or rejects. Repeated behavior shows a practice exists, not that it should be policy, so a human decides before any agent can run it.
- 04
Serve to your agents
Approved skills go live over MCP, with sign-off on sensitive actions. Each skill is executable: it carries an action binding (which tool, which action) and its required tools, so your agent turns an approved decision into the right tool call with almost no glue, and runs it on its own connection. We never hold your credentials.
The same mined brain gives cited answers too: recall over everything you've scoped, honestly marked unverified until a human approves it, and never search over your docs. Verified skills are where that recall becomes governed action.
Sources
Connects to the tools your work already lives in.
Connected today
On the roadmap
New sources plug into the same mining pipeline. You start on what's live today, and the rest arrive as we build them. Conversations hold the reasoning your wiki never captured; as we add ticketing, CRM, and other operational sources, the record of what actually happened grounds the record of why.
What you see first
We'll show you the places your documentation is wrong.
Because we diff how you say work happens against how it actually happens, the first thing you see is where your written playbook and your real behavior disagree, with the evidence attached.
We surface where actual practice and written policy disagree, and a human decides. We never compile the workaround into a skill on our own.
The system of record
Governance, versioned and cited.
Not "is this still good law?" but "is this still how we do it?" Every skill carries citations, a named approver, version history, and a permission ladder (read → suggest → execute-with-sign-offs → execute), per skill and per agent.
It's the neutral record that sits across every agent you use, not locked to any one vendor's stack. The citation graph is the part that compounds.
Built for your team
Your process gets your name on it.
Mined knowledge names its owner as the author. Scoping is employee-visible. We never produce individual performance analytics. Transparency is the position, not a workaround.
Positioning
What Praxeum is not.
Not enterprise search. Not a chatbot over your docs. Not another agent platform. Not a memory layer you wire up yourself. Not a proprietary format: we emit the open Agent Skills standard, and you bring your own agent.
Search tools
Answer questions.
Retrieval finds a doc. It can't surface the workarounds that never reached a wiki, and it doesn't execute.
Agent platforms
Lock you to their agent.
Their brain runs their agent on their stack. You don't own the artifacts and you can't bring your own agent.
Praxeum
Governs the agents you already have.
Cited, approved, versioned, executable skills served over MCP, with a human on every sensitive action.
Proof points
- Open standards (Agent Skills + MCP): no lock-in, you own the artifacts.
- Read-only access; you scope every source.
- Every skill cites its sources; a human approves before anything is used.
- Works with the agents you already use: Claude, ChatGPT, Cursor, custom.
Straight answers
- Isn’t this just enterprise search?
- Retrieval finds docs; we mine the exhaust into executable, verified skills. Retrieval structurally can’t surface the workarounds that never reached a wiki.
- Do I have to buy a new agent?
- No, bring your own agent over MCP.
- Are you reading everything?
- Read-only, you scope every source, scoping is employee-visible, and permissions travel with the knowledge. See Security.
- Will it be accurate?
- Nothing is used until a human approves it; every claim is cited; drift detection keeps it honest.
- Is my brain done in week one?
- No, honestly staged. Documented procedures convert to skills in days; the deep, undocumented knowledge compounds over weeks.
Request access
Request early access.
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