Reducto raises $24.5M Series A to help enterprises unlock unstructured data

Reducto has positioned itself as a leading solution for parsing complex documents using a blend of traditional computer vision and cutting-edge Vision-Language Models (VLMs), enabling companies to convert unstructured data into precise, Large Language Model (LLM)-ready inputs with exceptional accuracy. Trusted by major AI teams, including Scale AI and FAANG enterprises, Reducto has processed hundreds of millions of documents. The company recently raised $24.5 million in a Series A funding round led by Benchmark, bringing total funding to $33 million, to further develop its platform that supports comprehensive workflows, including document splitting, intelligent classification, and structured extraction. Reducto's new Agentic OCR framework and cost-efficient parsing solutions enhance the reliability and affordability of processing documents, making it possible for enterprises across various industries to build accurate, end-to-end pipelines. As Reducto expands its capabilities and user-friendly interfaces, it aims to empower more companies to leverage AI for smarter automation and efficient data processing.