Defog.ai vs Reducto
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
About
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.
SF AI document parsing API processing 1B+ pages monthly at 20%+ higher accuracy than AWS/Google/Microsoft; $108M total ($75M a16z Series B Oct 2025) serving Scale AI, Harvey, and Fortune 10 for enterprise document intelligence.
About
Reducto is a San Francisco-based AI document intelligence company — backed by $108 million in total funding including a $75 million Series B led by Andreessen Horowitz in October 2025, plus a $24.5 million Series A from Benchmark in April 2025 and an $8.4 million seed from First Round Capital, Y Combinator, BoxGroup, SV Angel, and Liquid2 in October 2024 — providing enterprises and AI development teams with the most accurate document parsing API available for extracting structured data from PDFs, scanned documents, spreadsheets, and unstructured files at human-level reading accuracy. Reducto processes over one billion pages monthly for thousands of customers including Scale AI, Harvey, Rogo, Fortune 10 enterprises, global financial institutions, and Big Four accounting firms — delivering 20%+ higher extraction accuracy than AWS Textract, Google Document AI, and Microsoft Azure Form Recognizer.
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