Catch-Phrase replaces inflexible dashboards with natural language database access — and guarantees accuracy. So either you or your agent can ask questions over the database and have confidence that the answers are correct.
For questions within the semantically tractable class — something LLM-based approaches will never achieve.
Catch-Phrase replaces boring and inflexible dashboards with natural language database access. We guarantee 100% accuracy for questions within the semantically tractable class — and we are closing the reliability gap for Text-to-SQL.
Every result is explainable. Every behaviour is configurable. And when a question falls outside guaranteed accuracy, users stay in control.
Always see exactly how your question was interpreted and why. No black-box answers — every query is transparent and auditable.
Can be configured for practically any specific behaviour, including as an MCP server. Adapt Catch-Phrase precisely to your database schema, terminology, and business rules.
Semantically tractable questions generate guaranteed direct answers. Non-tractable questions generate optimized LLM prompts — and users deliberately select and paste into their preferred LLM.
All operations flow through a single clean search bar. An innovative click-building method lets users construct precise questions without SQL knowledge.
Proven over very large and complex databases.
Built on open standards with no lock-in. Integrates with your existing stack in hours, not months.
Based on standard SQL and open XML and JSON formats. No model training, expensive fine-tuning, or data movement required.
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.
Small 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 replaced unreliable dashboards with guaranteed, natural language database access.