Verified Results
Always signals when a question or command is interpreted flawlessly (i.e. it is semantically tractable)
Catch-Phrase gives agents controlled, hallucination-free natural language access to databases. So either you or your agent can ask questions or issue updates over the database and have confidence that the answers and operations are correct.
For questions and commands within the semantically tractable class — something LLM-based approaches will never achieve.
Catch-Phrase safely brings real-world SQL databases into agent workflows.
For questions and commands within the semantically tractable class
Always signals when a question or command is interpreted flawlessly (i.e. it is semantically tractable)
Question sets that run in batch to reliably identify data integrity problems or queue work tasks
Candidate LLM prompts generated when a question or command is not semantically tractable.
Every result is explainable. Every behaviour is configurable.
MCP Servers accept natural language questions or commands and return lists, tables, values, confirmation messages, suggested follow-up prompts, confirmations for modifications, etc.
can be configured for practically any specific semantic layer, data idiosyncrasy or permissions setup.
No uncontrolled evaluation of arbitrary SQL over databases. No need to open database ports for remote access.
Integrates with your existing stack in minutes, not months.
Deployable as an MCP Server based 100% on SQL and open XML and JSON formats.
Deploy wherever your security and compliance requirements demand.
Simple, predictable pricing with no hidden costs or usage gates.
Deploy on AWS or on-premises. Unlimited seats, no per-question fees, no surprises.
Micro EC2 instance via AWS Marketplace. Cancel anytime — no lock-in.
Self-hosted installation. Fully self-contained and secure, on your own infrastructure.
Expert support to get you up and running and keep you there.
Join the teams who've safely gave agents access to their SQL databases.