Defog raised $2.2 million for developing open-source large language models (LLMs) specialized in data analysis.
Funding was led by Script Capital and Y Combinator, with contributions from Hike Ventures, Pioneer Fund, and prominent angel investors.
Defog's SQLCoder has been downloaded over 50,000 times and enables efficient conversion of natural language to SQL queries.
The company's solutions are used by sectors such as healthcare and finance to significantly cut down analysis time and costs.
Defog is introducing AI Agents for even more complex data analysis, including the ability to handle 'why' questions.

Defog specializes in leveraging large language models (LLMs) to enhance enterprise data analytics without compromising privacy. They offer AI assistants and agents that integrate with SQL, Python, and R, accelerating complex data analysis and workflows. Defog's tools enable natural language querying and generate trustworthy visualizations and reports. Privacy is paramount, as only metadata is utilized to fine-tune the AI without accessing the actual data. Their flagship product, SQLCoder, surpasses other models in text-to-SQL accuracy. Defog's services are customizable for specific business needs and can be cloud-based or on-premises, protecting data while streamlining analytics operations.

Defog

Defog provides AI-driven analytics, SQL optimization, with enterprise data privacy.

Defog Secures $2.2M for Open-Source AI Data Analysis Tools

Recent Funding News