Text-to-SQL tools are schema-blind. they guess the joins and hand you a number you can't check. Matih builds a context graph of your data:-the entities, how tables relate, what each metric means, then reasons over that ontology to answer. Ask in plain English. Matih writes the SQL and auto-routes it to the right engine- DuckDB for a spreadsheet, Spark or Trino for billions of rows- from an Excel file to a full warehouse. You get the answer next to the SQL. Trusted insights, no black box.
