Business-language understanding
Map internal terminology, definitions, and rules onto the schema so prompts match how your teams actually talk.
Natural language to SQL
Natural language to SQL for teams that need precision and control
Let users ask questions the way they naturally think, then turn those requests into validated SQL with schema context, permissions, and explainable outputs.
prompt
Which customer segments had the highest churn risk last month?
generated SQL
PostgreSQL
1SELECT segment, AVG(churn_score) AS avg_churn_score, COUNT(*) AS customers FROM customer_health WHERE snapshot_month = DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month') GROUP BY segment ORDER BY avg_churn_score DESC;Overview
TTSQL helps teams move from natural language to SQL without giving up accuracy, governance, or developer control.
Explainable AI outputs
Review generated SQL, apply corrections, and keep historical context so users can trust the system.
Better adoption outside the data team
Natural language to SQL lowers the barrier for finance, ops, product, and support teams to answer their own questions.
Query examples
Prompts mapped to concrete SQL.
prompt
Which customer segments had the highest churn risk last month?
generated SQL
PostgreSQL
1SELECT segment, AVG(churn_score) AS avg_churn_score, COUNT(*) AS customers FROM customer_health WHERE snapshot_month = DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month') GROUP BY segment ORDER BY avg_churn_score DESC;Use cases
Where teams use TTSQL.
Let GTM teams query pipeline and renewals in plain English.
Give customer success managers a governed way to ask account questions.
Power internal AI assistants that reason over structured business data.
FAQ
Answers before you connect a database.
01 What does natural language to SQL mean?
Natural language to SQL means users can describe the data question they want answered in plain language, and the system generates the SQL needed to retrieve it.
02 Can I control how natural language maps to my schema?
Yes. TTSQL supports business rules, schema descriptions, examples, and project context so the system uses your terms correctly.
03 Is natural language to SQL only for non-technical users?
No. It also speeds up experienced analysts and engineers by helping them draft, refine, and validate queries faster.
Enterprise
Bring natural-language SQL into a governed workspace.
Use TTSQL for teams that need SSO, policy controls, auditability, dedicated support, and deployment flexibility.