Enables AI agents to query governed data warehouses through plain language, returning grounded answers with SQL, confidence grades, and signed receipts while enforcing access, testing, and audit controls.
Exposes a governed semantic layer built on dbt Core and DuckDB, enabling AI agents to query predefined metric definitions for a P&C insurance dataset. Prevents metric hallucination by restricting agents to governed tools and read-only data access.
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.
Enables AI assistants and MCP clients to ask natural-language questions about DuckDB or CSV data and receive safe, read-only SQL-generated tabular insights with automatic schema discovery and multi-table joins.
Enables natural-language querying of SQLite databases through a governed semantic layer, with citations and typed abstention for PII or uncertified data.
