Use cases

The same knowledge layer, for very different lines of work.

A four-book saga, a home-linen store, a law firm: their documents have nothing in common, but their problems do. Finding the right passage, knowing what's true and where it's written, seeing what's missing — then letting the AI of their choice work on top of it.

The same building blocks, everywhere

Find

Hybrid search — meaning and exact wording — that cites every passage, and can tell you when the corpus doesn't hold the answer.

Understand

Entities, facts, relationships and events drawn from your documents, each with its evidence. Inconsistencies are flagged, never settled for you.

See the big picture

The Knowledge Snowflake arranges a project into facets, stage by stage, and shows at a glance what's solid and what's missing.

Connect

Claude, ChatGPT, Gemini, Mistral or an IDE agent query all of it over MCP, with a key that only sees what you open to it.

Don't see your line of work?

The structured-knowledge vocabulary is configured space by space: start from a generic template and adapt it. Cited search, for its part, works on any corpus.