Company Performance Metrics
- Michael Minock: FounderPast Role: KTH Royal Institute of Technology, Associate Professor
Catch-Phrase gives AI agents controlled, hallucination-free natural language access to SQL databases. Whether your agents need to query data or issue update commands, Catch-Phrase ensures that only correct, verified SQL is ever executed, backed by a 100% accuracy guarantee for questions and commands within the semantically tractable class.
Why
Catch-Phrase? Traditional LLM-based Text-to-SQL approaches are probabilistic by nature and they can silently produce wrong queries with no warning. Catch-Phrase is different. It always signals when a question or command has been interpreted flawlessly, and clearly indicates when it hasn't. No silent failures. No undetected hallucinations.
Hallucination-Free SQL Execution: The only text-to-SQL solution with a 100% accuracy guarantee for semantically tractable questions and update commands. Catch-Phrase always signals when a question is interpreted flawlessly, and clearly flags when it isn't. No silent failures, no wrong queries slipping through.
Full Control Between Agent and Database: Catch-Phrase acts as a secure guardrail, ensuring no uncontrolled SQL is ever executed. Fully configurable for any semantic layer, permissions model, or complex schema and deployable on your own AWS infrastructure to meet any security or compliance requirements.
Seamless Integration, No Lock-in: Connect via MCP Server, REST API, or point-and-click UI. Supports PostgreSQL, MySQL, SQLite, Oracle, SQL Server, Snowflake, and Redshift. Built on open XML and JSON standards. No data movement, no model training, no vendor lock-in.
