Ask in the language of work.
A natural-language question becomes a multi-source investigation, not a keyword search.
KNOW retrieves like an analyst rather than a search box, and refuses to state what it cannot cite. It is the difference between an AI your teams quote in meetings and one they double-check afterward.
PERMISSIONED · AUDITED · CUSTOMER-HOSTEDTHE OPERATING SEQUENCE
A natural-language question becomes a multi-source investigation, not a keyword search.
Permission-aware retrieval assembles tickets, documents, conversations, meetings, and live databases.
The source set is visible before generation. Remove weak evidence or switch to verbatim mode.
Every material claim points back to a passage. Unsupported conclusions stop visibly.

CAPABILITY ATLAS
Ask a project-status question and an agent decomposes it, pulls tickets, plans, chat threads, transcripts, and documents—then reconciles them into one cited answer.
The system shows everything it found and where it came from. You choose which sources it may use.
Only validated sources feed the answer. Every claim links to a passage; unsupported answers are refused.
Documents, conversations, project tools, meetings, databases, and APIs. Access controls are enforced at query time and refreshed continuously. If a person cannot open the document, their AI never reveals it.
An entity graph across documents, people, and concepts powers multi-hop answers and a permission-aware Expert Finder—answered from evidence, not org charts.
KNOW learns which sources are canonical, which are stale, and which retrieval strategies work for which questions—on your corpus, not someone else’s benchmark.