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Reducto

Leader

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.

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Cloud & InfrastructureCloud ServicesWebsiteUpdated March 2026

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Company Overview

About Reducto

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.

Business Model & Competitive Advantage

Reducto's document parsing architecture addresses the critical data quality problem for enterprise AI applications: AI language models are only as accurate as the data they process, and most enterprise data lives in documents (contracts, financial statements, medical records, invoices, regulatory filings) that standard OCR and extraction tools misparse — losing table structure, misreading numbers, dropping context from multi-column layouts, and failing to extract data from non-searchable scanned PDFs. Reducto's hybrid extraction approach (combining specialized computer vision models for layout analysis, OCR neural networks fine-tuned for document types, and LLM-based semantic understanding for context-dependent extraction) delivers the per-field accuracy that enterprise AI workflows require — particularly for financial, legal, and medical documents where extraction errors create downstream compliance and decision risk. The API-first design (JSON output with configurable schema mapping) integrates with any AI pipeline, enabling AI teams building RAG systems, document review tools, and financial analysis platforms to upgrade their data extraction layer without changing their model infrastructure.

Competitive Landscape 2025–2026

In 2025, Reducto competes in the AI document intelligence, intelligent document processing (IDP), and unstructured data extraction market with AWS Textract (Amazon Web Services document extraction), Google Document AI (Vertex AI document processing), and ABBYY (IDP for enterprise, $400M+ revenue) for enterprise AI document processing adoption. The 6x monthly volume growth over 5 months in 2025 reflects the AI application development boom driving rapid adoption — every RAG application, contract review tool, and financial analysis AI needs document parsing as foundational data infrastructure. Andreessen Horowitz's Series B investment reflects conviction in Reducto as the default document intelligence layer for the AI application wave. The 2025 strategy focuses on growing Fortune 500 enterprise contracts for large-scale document processing pipelines, building the fine-tuning service for domain-specific document types (healthcare claim forms, legal contracts, financial statements), and expanding the real-time streaming extraction for high-throughput document intake workflows.

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Market Leader

Reducto is recognized as a market leader in the Infrastructure sector, demonstrating strong industry presence and customer trust.

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