Reducto raises $8.4 million to help LLMs read documents the way humans do

Reducto is addressing the challenge of transforming complex unstructured documents, such as PDFs and spreadsheets, into accurate inputs for large language models (LLMs) by leveraging vision-based models that interpret documents in a manner similar to human reading. This innovation aims to improve the processing accuracy of complex layouts, which often pose difficulties for traditional data ingestion solutions, leading to inaccurate outputs. Reducto's technology has seen rapid adoption, processing millions of pages daily for a diverse clientele, including startups, healthcare companies, and Fortune 10 enterprises. Supported by $8.4 million in funding led by First Round Capital and other notable investors, Reducto is focused on expanding its capabilities and scaling its impact while actively hiring to meet growing demand.