Discover what Defog.ai is, a privacy-first AI platform that turns natural language questions into SQL queries for enterprise databases.

Defog.ai is a platform built for enterprise SQL environments. Its fine-tuned AI models let business teams ask questions about their data in everyday language and generate SQL queries automatically, simplifying data analysis in SQL, Python, and R.
A key aspect of Defog.ai is its focus on data privacy. It personalizes its AI models using only metadata, so it never needs access to your actual databases — whether you use private hosting or cloud services. The company has raised $2.2 million in funding led by Y Combinator and Script Capital.
Experts have praised Defog.ai for the clarity of its explanations, the accuracy of its results, and SQLCoder’s performance.
Defog.ai was founded by a team led by Clement Delangue, the CEO. The company focuses on privacy-first AI for data analysis, aiming to let business teams query structured data using natural language. With $2.2 million in funding from Y Combinator and Script Capital, Defog.ai is establishing itself as a player in secure, adaptable AI-driven analytics.
Defog.ai offers three plans:
Each plan varies in features, query limits, database access options, administrative controls, and support levels.
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