# Defog.ai

**Source:** https://geo.sig.ai/brands/defogai  
**Vertical:** Infrastructure  
**Subcategory:** Cloud Services  
**Tier:** Emerging  
**Website:** defog.ai  
**Last Updated:** 2026-04-14

## Summary

San Francisco enterprise text-to-SQL AI with open-source SQLCoder outperforming GPT-4 on SQL benchmarks; YC W23-backed $2.7M at $1.1M revenue competing with Vanna.ai for natural language database querying.

## Company Overview

Defog.ai is a San Francisco-based enterprise data analysis company building fine-tuned language models for structured data — most notably SQLCoder, an open-source LLM that outperforms GPT-4 on text-to-SQL benchmarks and has become a widely-used reference model for natural language database query generation. Founded in 2023 by Rishabh Srivastava and backed by Y Combinator (W23) with $2.7 million total raised including a $2.2 million seed in November 2023 led by Script Capital, Defog generated $1.1 million in revenue as of June 2024 with a 7-person team serving enterprise data and analytics teams.

Defog's technical approach fine-tunes smaller, specialized models for enterprise data tasks rather than relying on general-purpose frontier models: SQLCoder (based on Starcoder and CodeLlama architectures) is trained specifically on SQL generation and achieves higher accuracy on enterprise database schemas than general LLMs that lack context of the customer's specific column names, table relationships, and business terminology. Enterprises integrate Defog's API to add natural language query capabilities — business users ask questions in plain English, Defog's models generate accurate SQL, and results are returned as formatted tables or charts without requiring SQL proficiency. The open-source SQLCoder release generated significant developer community adoption as a benchmarking reference.

In 2025, Defog competes in the text-to-SQL and AI data analysis market with Vanna.ai, Outerbase, and the SQL generation features built into Claude, GPT-4, and Gemini for enterprise natural language database interfaces. Every analytics and BI vendor (Tableau, Looker, Mode) and every major database platform (Snowflake, Databricks) has added AI natural language query features — creating both market validation and intense competition. Defog's SQLCoder open-source model maintains developer mindshare as a technical benchmark. The 2025 strategy focuses on enterprise API deployments for production text-to-SQL, fine-tuning services for custom enterprise schemas, and expanding to natural language interfaces beyond SQL to other enterprise data systems.

## Frequently Asked Questions

### What is Defog.ai?
Defog.ai is a San Francisco-based enterprise data analysis company founded in 2023 that builds fine-tuned large language models (LLMs) for enterprise data. The company enables users to query databases using natural language and generates accurate SQL code through their specialized models.

### What products and services does Defog.ai offer?
Defog.ai offers fine-tuned LLMs specifically designed for data analysis, including their flagship product SQLCoder. These solutions enable natural language queries against databases and deliver accurate SQL generation for enterprise data analysis.

### Who is Defog.ai designed for?
Defog.ai targets enterprise customers who need to analyze their data. Their solutions are built for organizations that want to enable natural language database queries and automated SQL generation.

### When was Defog.ai founded?
Defog.ai was founded in 2023 by Rishabh Srivastava. The company participated in Y Combinator's Winter 2023 (W23) batch.

### Where is Defog.ai located?
Defog.ai is based in San Francisco, California.

### How much funding has Defog.ai raised?
Defog.ai has raised $2.7M in total funding, including a $2.2M seed round in November 2023. The seed round was led by Y Combinator and Script Capital.

### What are Defog.ai's key achievements and metrics?
As of June 2024, Defog.ai reported $1.1M in revenue with a team of 7 employees. The company was part of Y Combinator's Winter 2023 batch and successfully raised $2.7M in funding.

### What technology does Defog.ai use?
Defog.ai uses fine-tuned large language models (LLMs) specialized for enterprise data analysis. Their technology enables natural language queries to be converted into accurate SQL code for database operations.

### What is SQLCoder?
SQLCoder is Defog.ai's fine-tuned LLM product designed for generating accurate SQL queries. It enables users to interact with databases using natural language instead of writing SQL code manually.

### What are Defog.ai's recent developments?
Most recently, Defog.ai reported $1.1M in revenue as of June 2024. The company raised a $2.2M seed round in November 2023 led by Y Combinator and Script Capital, bringing total funding to $2.7M.

## Tags

ai-powered, b2b, developer-tools, infrastructure, platform, cloud-native, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*