Defog is an AI-powered data analyst that enables users to query structured data using natural language, providing fast and accurate insights without waiting for human analysts. It is built on proprietary fine-tuned LLMs, including the open-source SQLCoder model, which achieves state-of-the-art text-to-SQL accuracy. Defog prioritizes privacy, ensuring user data is never shared, and adapts to individual feedback and preferences. It integrates with various databases (e.g., Postgres, Snowflake), CSV files, and popular connectors, making it versatile for enterprise data analysis. Key features include drill-down queries, broad hypothesis exploration, and follow-up questions. Defog is trusted by industry leaders such as Toyota, Alliance Bernstein, Macmillan, and Genmab.
Key Benefits
- Best-in-class accuracy for text-to-SQL queries
- Data privacy (data never shared with third parties)
- Adapts to user feedback and preferences
- Works with multiple data sources (databases, CSVs, connectors)