Enables natural-language queries over data warehouses with catalog-grounded semantics and per-query authorization, returning answers with attached reasoning.
Enables AI agents and software to detect ambiguous wording in text and receive location, category, explanation, and suggested clarification questions for each signal.
Enables natural language querying of OLAP/SSAS cubes with verified MDX generation, self-consistency checks, and honest abstention when queries are ambiguous.
Enables AI assistants to identify and judge unexplained terms in prose documents by providing differential linting, term context, and ledger management.
Enables natural language queries to be converted into policy-verified SQL, vector search, and knowledge graph plans, with evidence-backed answers and an audit log.