Trust calibration
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datarelix.ai turns plain-language questions into validated queries and analysis you can trust — with the SQL, the tables, and the runtime shown every time.
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datarelix.ai · planning → executing
SELECT c.name, SUM(o.total) AS revenue
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE o.created_at >= DATE_TRUNC('quarter', NOW())
GROUP BY c.id, c.name
ORDER BY revenue DESC
LIMIT 10; Result · 10 rows · 312 ms
| Customer | Revenue |
|---|---|
| Enterprise Plus | $352,940 |
| Acme Corp | $284,110 |
| Globex | $219,803 |
| Initech | $201,442 |
| …6 more | — |
Tables used · customers, orders
Connects to Postgres, MySQL, Azure SQL, Databricks, Kusto, BigQuery, Athena, Elasticsearch, Snowflake, and files in object storage (Parquet, Delta, CSV, Excel).
Every question moves through the same explicit path — so you always know what ran, and why.
Type a question. Pin tables with @ to keep large warehouses tractable.
Dialect-aware planning, parsed by a real AST before a single byte hits your database.
Tables, charts, and a short explanation — with full provenance attached to every run.
datarelix.ai is built around answers you can stand behind — not a chat window bolted onto a database.
Every answer ships with provenance — the tables used, the exact query, the runtime. The model never touches your data directly.
Phases are explicit: planning, executing, analyzing. No spinner roulette, no wondering whether it's stuck.
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