coloph
Your company's source of truth
Knowledge lives in conversations, documents, and people's heads. It contradicts itself constantly. Nobody notices until someone acts on the wrong version.
Half of project management is just remembering things
Gathering context before decisions. Disseminating them after. Checking that what was decided actually happened. Making sure the website says what the contract says what the sales team says.
This is not decision-making. It is bookkeeping. And it is exactly what a system that reads everything and forgets nothing can do.
How it works
Extract
Reads conversations, email, documents. Extracts atomic, cited facts. No manual entry, no tagging, no schemas to design.
Track
Every fact knows when it became true, when it stopped, who said it, and what replaced it. Not summaries. Versioned truth.
Catch
When sources disagree, the system catches it. Flags it to the right people. Before it becomes a costly mistake.
Act
Proposes changes to documents. Notifies the right teams. Sets reminders for when things expire. The busywork, handled.
Not another knowledge graph
Knowledge graphs have been attempted for decades. They required rigid schemas designed upfront and dedicated teams to maintain. They never scaled beyond demos.
This system uses natural-language facts, not structured attribute triples. Each fact is a sentence — cited to its source, timestamped, linked to the things it's about, tracked through chains of supersession. When two facts conflict, the system detects it structurally.
This is only possible now. LLMs can extract structured knowledge from messy human conversation. And as token costs drop, it becomes economically viable for every company, not just the ones with dedicated AI teams.
Interested?
We're working with early adopters. If this sounds like a problem you have, we'd like to hear from you.
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