Your knowledge base, always current.
Keel continuously ingests and structures your organizational knowledge so AI can reliably surface it on demand.
The knowledge management problem
Organizations invest heavily in knowledge tools — Notion, Confluence, SharePoint, wikis. But the knowledge remains fragmented. There is no way to query across all of them at once, no way to see how documents relate to each other, and no way to know which version is current.
Keel does not replace your knowledge tools. It connects them — and makes the connected knowledge queryable, verifiable, and ready for AI.
What makes Keel different
Three capabilities that transform disconnected knowledge stores into a unified context layer.
01
Automatic entity extraction
Keel automatically identifies and structures meaningful entities — people, policies, processes, vendors — from your unstructured documents. Your knowledge becomes a connected graph, not a pile of files.
02
Cross-source relationship mapping
See how documents, policies, teams, and processes connect across all your knowledge sources. Query by relationship, not just by text match — surface context that linked search would miss.
03
Living knowledge graph
As documents are updated, added, or removed, the knowledge graph updates automatically. Your context layer stays current without manual curation — Keel tracks freshness and downgrades stale content.
Built for knowledge teams
Connect without migrating
Keep your knowledge in Notion, Confluence, or SharePoint. Keel reads from them — nothing moves.
Cross-source querying
Query all connected knowledge sources simultaneously in a single API call.
AI-ready output
Context returned by Keel is structured and ready for any AI application, copilot, or search interface.
Get Started
Stop letting your
AI guess.
See how Keel gives your AI agents, copilots, and applications the verified context they need to answer correctly — every time, with a source you can point to.