Chat with data
Drop raw data. Walk away with knowledge you can talk to.
Messy files go in. Queryable SQL, a knowledge graph, and a guided wiki come out. Then you just ask.
-- generated in-perimeter. never leaves. SELECT region, SUM(amount) AS total_sales, RANK() OVER (ORDER BY SUM(amount) DESC) AS rk FROM sales_star WHERE quarter = '2026-Q2' GROUP BY region ORDER BY total_sales DESC;
How messy files become answers.
Drop the files
Spreadsheets, exports, PDFs, and Arabic documents, in any state. No preparation needed on your side.
Clean and relate
The super pipeline fixes formats, removes duplicates, validates quality, and discovers how your tables relate to each other.
Three shapes of knowledge
The result lands as queryable SQL for analysts, a knowledge graph for relationships, and a guided wiki for everyone else.
Chat and decide
Ask in Arabic or English and walk decision paths. Every answer opens into its SQL and its lineage, so trust is built in.
Answers that show their work.
A chat you can't verify is a liability. Every reply carries the query it ran, the tables it touched, and the language you asked in.
The exact SQL
One tap opens the generated query, ready to copy into your warehouse or hand to an analyst.
SELECT region, SUM(amount) FROM sales_star GROUP BY region;
The full lineage
From the raw file to the answer, every transform is named and traceable in the audit log.
Your language, either way
Ask in Arabic, read in English, or the other way around. Regional terminology is understood, not transliterated.