Reducto: Making Human Data LLM-Ready With State-of-the-Art Accuracy

Reducto just raised $24.5M in Series A funding to help enterprises unlock unstructured data with near-perfect accuracy. AI teams today are bottlenecked by messy, real-world documents—so Reducto built the most accurate parsing pipeline in the industry. By combining vision-language models with agentic workflows, Reducto turns complex PDFs and scanned documents into structured, LLM-ready data. Now trusted by companies like Scale AI, Vanta, and top AI teams, Reducto has parsed over 250 million pages and is expanding into full end-to-end pipelines: document splitting, classification, structured extraction, and more. With their new Agentic OCR framework, they’re pushing toward human-level accuracy—automating what used to take teams days, in seconds. YC Partner Diana Hu recently sat down with the Reducto founders to talk about how they got here, their founding story, and the kind of company they are building. Learn more about Reducto at https://reducto.ai. Apply to Y Combinator: https://ycombinator.com/apply Chapters (Powered by ChapterMe) - 00:00 - Data-driven AI for large enterprises 01:17 - Document management 03:04 - Simplify PDF processing for companies 03:59 - Aha moment for PDF extraction, interesting approach 05:02 - NLP-based PDF extraction for enterprise apps 06:56 - Great data, exciting use cases 08:10 - Best places for customer approaches 08:48 - Closing a Fortune 25 deal in just two months 11:21 - Data-driven AI for high-quality documents 13:19 - Reductos AI-focused infrastructure attracts top companies 15:18 - Quality of data, results, support

Diana Huhost

May 1, 202515mWatch on YouTube ↗

EPISODE INFO

Released: May 1, 2025
Duration: 15m
Channel: YC Root Access
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

Reducto just raised $24.5M in Series A funding to help enterprises unlock unstructured data with near-perfect accuracy. AI teams today are bottlenecked by messy, real-world documents—so Reducto built the most accurate parsing pipeline in the industry. By combining vision-language models with agentic workflows, Reducto turns complex PDFs and scanned documents into structured, LLM-ready data. Now trusted by companies like Scale AI, Vanta, and top AI teams, Reducto has parsed over 250 million pages and is expanding into full end-to-end pipelines: document splitting, classification, structured extraction, and more. With their new Agentic OCR framework, they’re pushing toward human-level accuracy—automating what used to take teams days, in seconds. YC Partner Diana Hu recently sat down with the Reducto founders to talk about how they got here, their founding story, and the kind of company they are building. Learn more about Reducto at https://reducto.ai. Apply to Y Combinator: https://ycombinator.com/apply Chapters (Powered by ChapterMe) - 00:00 - Data-driven AI for large enterprises 01:17 - Document management 03:04 - Simplify PDF processing for companies 03:59 - Aha moment for PDF extraction, interesting approach 05:02 - NLP-based PDF extraction for enterprise apps 06:56 - Great data, exciting use cases 08:10 - Best places for customer approaches 08:48 - Closing a Fortune 25 deal in just two months 11:21 - Data-driven AI for high-quality documents 13:19 - Reductos AI-focused infrastructure attracts top companies 15:18 - Quality of data, results, support

SPEAKERS

Diana Hu
host
Host/interviewer on YC Root Access.

EPISODE SUMMARY

In this episode of YC Root Access, featuring Diana Hu, Reducto: Making Human Data LLM-Ready With State-of-the-Art Accuracy explores reducto turns messy enterprise documents into accurate LLM-ready structured data Reducto converts complex, messy enterprise documents (claims, health records, financial statements) into clean structured data optimized for LLM workflows like RAG and summarization.

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