No single source of truth
The same policy exists in four versions across a drive, an inbox and someone’s desktop.
Investor relations
Companies are deploying AI onto documents nobody is governing.
We make a company’s own knowledge the only thing its AI is allowed to answer from — and we keep it current. Built, working, and in front of you today.
The problem
AI adoption outran document control.
Businesses connected AI to their files in a weekend. Nobody stopped to ask which version of a file was authoritative — because until now, nothing had to. A human reading a folder knows the 2019 price list is old. A model does not.
Superseded files stay readable
Nothing removes last year’s document from what the AI can reach, so it gets quoted.
Wrong answers look right
The output is fluent, sourced and plausible. There is no signal that it is stale.
In a regulated industry, that is not an inconvenience.
It is liability with a citation.
What we built
A governed library, and an AI that cannot see around it.
Every document a company runs on gets a permanent identity and a version history. Exactly one version is authoritative at a time. When a document is replaced, the version it replaced leaves the space the AI can read — so governance is structural, not a policy we ask a model to honor.
Deterministic retrieval
Questions resolve to a specific document by department and purpose, not by similarity search across a pile.
Screened on the way in
Sensitive data is detected and blocked before a file is ever stored, which is what keeps regulated verticals reachable.
Answers stay current
A replaced document changes what the AI says from that moment. No re-uploading, no rebuilding by hand.
Every change recorded
Who replaced what, when, and what it said before. The audit trail is a product feature, not a log file.
Where it stands
This is not a concept.
The full loop runs today: a document is uploaded, screened, versioned, published, and the previous version retired — then answers change to match. Self-service onboarding works, so what used to be days of our labor is now a form.
- 471
- Document types mapped
- 51
- Departments modeled
- 6
- Industry taxonomies pre-built
- Live
- Upload to updated answer, no manual step
Observed in testing
It flagged a dead web address in a client’s own marketing document, and traced it back through two revisions. It catches their mistakes, not just ours.
Market
Mid-market, regulated, and skipped by everyone.
Enterprise buys governance platforms with a procurement team. Small business buys a chatbot. The companies in between — 20 to 200 people, real compliance exposure, no IT department — get neither. They are the ones being sold ungoverned AI right now.
The document taxonomy is the moat. It took months per industry to build, and it is the part a competitor cannot copy from our website.
Business model
Annual contracts, unlimited users, no setup fee.
Priced on the size of the library, not headcount. Per-seat pricing would teach clients to share logins and cap the deployment that makes us sticky. Twelve-month terms, invoiced quarterly in advance — so a signed client is booked revenue for twelve months, not monthly hope.
What we want from you
The check is the second most useful thing you have.
First
Be client one
Run your own company on it. A working reference in your industry is worth more to us than the money.
Second
Open three doors
Introductions to operators who trust your judgment. That is our entire early sales channel.
Third
Invest if you want in
Decide after you have used it, not after a slide.
Register interest
Say you’re interested.
No deck attached to this page and no numbers on it. Tell us who you are and we will send the overview and set up a time to put the product in front of you.