Reducto
Extract structured fields and tables from documents for use in software.
Reducto Funding History
Reducto provides document-understanding APIs for unstructured data extraction.
Company Overview
Founded 2023 · San Francisco, California, US
Official WebsiteReducto Funding Timeline
Series B
$75M
Reducto planned to accelerate model research and expand its document extraction tools. The Series B brought cumulative funding to $108 million.
Led by Andreessen Horowitz.
Source · a16z.com ↗Series A
$24.5M
Reducto introduced a multi-pass OCR system alongside the round. It checks and corrects parsing output from complex documents.
Led by Benchmark. Participation included First Round Capital, BoxGroup, Y Combinator.
Source · reducto.ai ↗Seed
US$8.4 million
Reducto said its product had expanded from document parsing to spreadsheets and that the funding would help it serve more teams.
Led by First Round Capital.
Source · reducto.ai ↗
Reducto Founding Team
Adit Abraham and Raunak Chowdhuri started Reducto by combining vision and language models to interpret documents. Their early work focused on extracting structure from files that were difficult to process with fixed templates.
Reducto Products
Reducto Company Development
Document Structure Becomes an API Output
Reducto built a developer API for a problem ordinary text extraction leaves unresolved: how to keep tables, layout and other document structure intact when feeding data into downstream software. Its later investor announcement framed the service around this broader document-understanding problem.
Reducto Competitive Landscape
Document Structure as an API Output
The comparison with basic OCR turns on what the next system needs. Recognizing characters may work for a short image, but tables and forms can lose meaning if the parser drops row, column or layout relationships.
