Defog.ai has joined Y Combinator's W23 batch, marking a significant milestone.
The company has launched early access to their product which allows users to access data and insights through natural language queries.
Defog offers a Q&A-style interface for data analytics in apps, targeting fintech, video meeting tools, and social media platforms to enhance user experience.
The solution emphasizes ease of integration and customization, with a focus on user privacy by only requiring database schema access, not raw data.
Defog.ai invites users for feedback and engagement through their email and social media platforms.

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.ai Joins Y Combinator and Launches Early Access

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