Fewer manual query rewrites
Analysts can start from natural prompts instead of hand-writing every join, filter, and aggregation.
Text to SQL software
Text to SQL that works with real schemas, not toy demos
TTSQL converts text to SQL for analysts, operators, product teams, and embedded AI experiences. It understands schema relationships, applies security rules, and returns SQL you can trust.
prompt
Which accounts expanded by more than 20% quarter over quarter?
generated SQL
PostgreSQL
1WITH quarterly_arr AS (SELECT account_id, DATE_TRUNC('quarter', invoice_date) AS quarter_start, SUM(arr_delta) AS arr_change FROM billing_events GROUP BY account_id, quarter_start) SELECT q.account_id, q.quarter_start, q.arr_change FROM quarterly_arr q JOIN quarterly_arr prev ON prev.account_id = q.account_id AND prev.quarter_start = q.quarter_start - INTERVAL '3 months' WHERE q.arr_change > prev.arr_change * 1.2 ORDER BY q.arr_change DESC;Overview
If you need a production-grade text to SQL workflow, TTSQL combines AI generation, validation, and governance in one stack.
Safer generated SQL
Validation, self-correction, and project-specific rules reduce the risk of broken or unsafe queries.
Ready for product teams
Use TTSQL in an internal app, customer-facing experience, or developer workflow with the same core engine.
Query examples
Prompts mapped to concrete SQL.
prompt
Which accounts expanded by more than 20% quarter over quarter?
generated SQL
PostgreSQL
1WITH quarterly_arr AS (SELECT account_id, DATE_TRUNC('quarter', invoice_date) AS quarter_start, SUM(arr_delta) AS arr_change FROM billing_events GROUP BY account_id, quarter_start) SELECT q.account_id, q.quarter_start, q.arr_change FROM quarterly_arr q JOIN quarterly_arr prev ON prev.account_id = q.account_id AND prev.quarter_start = q.quarter_start - INTERVAL '3 months' WHERE q.arr_change > prev.arr_change * 1.2 ORDER BY q.arr_change DESC;Use cases
Where teams use TTSQL.
Generate revenue, retention, and support queries from everyday questions.
Accelerate analytics exploration for teams that do not write SQL full-time.
Add a text to SQL interface to knowledge tools, dashboards, and AI copilots.
FAQ
Answers before you connect a database.
01 How is TTSQL different from a basic text to SQL demo?
TTSQL is built for production. It adds schema understanding, correction loops, permissions, and API integration instead of stopping at a single generated query.
02 Who uses text to SQL software?
Data teams use it to speed up analysis, while product teams use it to build natural-language analytics and support experiences on top of governed data.
03 Does text to SQL work for warehouses as well as transactional databases?
Yes. TTSQL supports warehouse and operational database workflows across common SQL engines and project-specific schemas.
Enterprise
Bring natural-language SQL into a governed workspace.
Use TTSQL for teams that need SSO, policy controls, auditability, dedicated support, and deployment flexibility.