The problem
Stop waiting on yourself.
Knowledge is gated by people. You wait. You ping. You sit in meetings to extract what three people already know.
Claustrum removes the asking.
What changes
The organization runs as fast as it can reason.
Why existing tools fail
The wrong primitive.
Embed every chunk. Retrieve by similarity. A better search engine on the same scattered substrate.
Typed, directional, probabilistic. Decisions and beliefs linked to the evidence that supports them and the consequences that followed.
Documents are exhaust. Claustrum models the thing the text is about.
What Claustrum is
The epistemic graph.
- Typed. Every node is something specific: a claim, a decision, a belief, a piece of evidence, a person, or an event. Not just a block of text.
- Temporal. Every connection has a lifespan. Claustrum knows when a fact became true, when it stopped being true, and how quickly it decays.
- Probabilistic. Nothing is taken as absolute. Every belief carries a confidence score that updates as new evidence arrives.
How it works
From every signal to a single belief state.
Every system the organization runs on: communications, documents, transcripts, internal applications.
Active intelligence
Claustrum does not wait to be asked.
The system continuously surfaces its own knowledge gaps, the contradictions accumulating in the graph, and the beliefs that have aged past their half-life, and routes them to the right person, at the right moment, before the gap becomes a problem.
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