For · Enterprise Research Teams

A shared drive stores documents.
It does not preserve epistemic state.

The long-term Epistamate direction is institutional research that carries forward claim identity, provenance, review history, applicability, recency and contradictions. That is a different problem from simply giving a model more context.

The research product is early access. The long-lived cross-topic Knowledge layer remains under canonical rebuild rather than being claimed here as finished.

See the research concept →The evidence architecture →

Evidence quality should be
inspectable, not implied.

Evidence state, not file storage

The target is to preserve why a claim was believed, what evidence supported it, what contradicted it and when it was last revalidated.

Human and AI actions separated

Model suggestions, researcher decisions and evidence authority remain distinct so governance does not reduce to “a human was in the loop”.

Local-first current product

The current product is a Windows desktop application with local canonical persistence and explicit provider/network permissions, not a finished team/cloud platform.

Institutional Knowledge is a roadmap pillar

Same-topic continuation and reassessment exist; durable cross-topic canonical Knowledge is being rebuilt and is not claimed as complete today.

If your team does consequential research that needs to survive informed review,

We are looking for workflows where source support, provenance, researcher judgement and repeatability matter more than faster prose.

Start a conversation →