A governed SQL gateway that exposes typed tools to AI agents, compiling safe read-only queries from a semantic layer while blocking PII before execution, supporting SQL Server, Postgres, and SQLite.
An MCP-native agentic copilot for dental practices that orchestrates multiple MCP tools to analyze X-rays, pull patient history, generate drafts, and propose recalls, streaming results live to a React dashboard.
Enables AI assistants to query NYC capital project data (schedule, budget, lifecycle) using 16 tools with domain rules like PID↔FMS many-to-many and role-aware agency attribution.
Turns your data model into a semantic layer for AI agents, automatically generating typed, discoverable tools with entity relationships and schema discovery.
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.
Agent-native semantic layer, letting AI agents query databases through specifying intent instead of writing SQL, then compiling structured queries into correct, dialect-aware SQL. Dynamic and expressive, supporting multi-stage queries, time-shifts, and complex join schemas.