Reducto AI — Document Parsing for LLM Pipelines
Y Combinator-backed document ingestion platform that converts unstructured documents into LLM-optimized structured data, achieving >99% accuracy across 250+ million pages processed.
How Reducto AI Processes Documents for LLM Workflows
Reducto AI is a San Francisco-based startup founded in 2023 that specializes in document ingestion for LLM workflows. The company raised $24.5 million in Series A funding led by Benchmark in April 2025, bringing total funding to $32.9 million following an $8.4 million seed round led by First Round Capital in October 2024.
Unlike full-stack document intelligence platforms, Reducto positions itself as a specialized document ingestion layer that converts complex unstructured documents into structured data optimized for LLMs and vector databases. The platform has processed 250+ million pages across thousands of companies including Harvey, Vanta, and Zip, achieving Series B milestone by October 2025. For broader context on this approach, see our guides on PDF to structured data conversion and document processing for RAG.
In July 2025, Reducto expanded beyond document reading with the launch of Reducto Edit, introducing document generation capabilities. The company established technical credibility by releasing RolmOCR, an Apache 2.0 licensed OCR model that achieved 190,046 downloads in its first month, and Open-Source RD-TableBench for evaluating extraction performance on complex tables.
Reducto AI Platform Features
- LLM-Optimized Processing: Document ingestion layer specifically designed for LLM and vector database workflows
- High Accuracy Claims: >99% accuracy and 99.9% uptime with burst handling supporting 1/10/100+ QPS tiers
- Document Generation: Fill out and create documents through Reducto Edit
- Open-Source OCR: RolmOCR model with 8.29B parameters and optimized performance
- Compliance Ready: SOC2 and HIPAA compliance with cloud and self-host deployment options
- Enterprise Scale: Burst handling capabilities for high-volume processing
Reducto AI Use Cases
Healthcare Document Processing
Reducto achieved 99.24% extraction accuracy in clinical SLAs on real patient cases, demonstrating performance in accuracy-critical regulated environments with complex medical documentation requirements. Our healthcare claims automation guide covers industry-specific implementation patterns.
Insurance Claims Processing
Insurance sector deployments report up to 16x faster claim reviews with improved auditability, processing policy documents, claims forms, and supporting documentation at enterprise scale.
Legal and Compliance
Enterprise customers like Harvey leverage Reducto for legal document processing, contract analysis, and compliance documentation where accuracy and auditability are mission-critical.
Reducto Document API Technical Specifications
| Feature | Specification |
|---|---|
| Accuracy | >99% extraction accuracy |
| Uptime | 99.9% availability |
| QPS Tiers | 1/10/100+ queries per second |
| OCR Model | RolmOCR (8.29B parameters) |
| Deployment | Cloud and self-host options |
| Compliance | SOC2 and HIPAA certified |
| API | OpenAI-compatible for RolmOCR |
| Supported Formats | PDF, images, scans, office documents |
| Output Format | LLM-optimized structured data |
Pricing
Reducto AI Company Information
Transfer of Personal Data
They process and store information in the U.S. and other countries. By using our Services, you authorize them to transfer your personal information across national borders and to other countries where we operate, in accordance with applicable laws and regulations.
https://reducto.ai/terms#:~:text=Transfer%20of%20Personal%20Data
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