ClarityQ delivers highly accurate answers by translating natural language into precise SQL queries, grounded in your actual data.

Here’s how we ensure such accuracy:

Deep, structured understanding of your data - ClarityQ builds a semantic map of your tables, events, metrics and segments through our proprietary technology, enabling precise, context-aware answers that generic AI tools can’t provide

To learn more about our sematic layer and in-app events understanding, please visit our data catalogues page

Transparent SQL with built-in explainability - every answer includes the generated SQL and a plain-English explanation of how it was constructed, so users can confidently validate logic, spot issues, and refine questions in real time

Continuous improvement loop through user feedback and analysts reviews

Autonomous AI agent validation system - powered by advanced reasoning and multiple specialized tools, ClarityQ verifies every answer using both well-known and proprietary text-to-SQL techniques

Feedback-driven accuracy loop – AI doesn't work like magic. Human feedback is built into our product loop. During onboarding and beyond, we quickly learn from user corrections and improve performance in real time. The heavy lifting is on us - but your feedback makes ClarityQ smarter, faster, and more accurate for your team.

While no system is 100% perfect, ClarityQ is built to minimize errors, offer full transparency, and enable fast course correction - just like working with a sharp, collaborative analyst.

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