
Hyperscience
Hyperscience is the enterprise AI IDP platform processing high-volume forms, mail, and documents. ~$300M raised; serves Fortune 500 and federal agencies.

Overview
Hyperscience: AI Intelligent Document Processing Platform
Hyperscience is Enterprise intelligent document processing (IDP) platform for high-volume forms, mail, and unstructured documents. Document processing has been a high-volume pain point in large enterprises for decades, with OCR vendors solving 80% of cases and human operators handling the rest. Hyperscience's pitch is that frontier ML models — combined with active learning loops and human-in-the-loop verification — push automation to 99%+ accuracy on forms previously requiring manual review. The on-prem deployment option is a critical differentiator for federal and regulated buyers.
Key Features
- Enterprise intelligent document processing (IDP) platform for high-volume forms, mail, and unstructured documents
- Founded in 2014 by Peter Brodsky, Vladimir Tosic, and Krasimir Marinov
- Headquartered in New York City
- Approximately $300M+ raised across rounds; backed by Tiger Global, Bessemer, and Stripes
- Proprietary ML models trained for handwriting, mixed-format forms, and complex layouts
- Customers include US federal agencies, major insurance carriers, banks, and Fortune 500 enterprises
- Hybrid cloud and on-prem deployment for regulated industries with data-residency requirements
Ideal Use Case
Insurance carriers, banks, federal agencies, and large enterprises processing millions of paper and PDF forms per year — claims, applications, tax forms, government filings. Particularly strong fit for organizations that need accurate handwriting recognition and on-prem deployment for compliance.
Why Use Hyperscience
Document processing has been a high-volume pain point in large enterprises for decades, with OCR vendors solving 80% of cases and human operators handling the rest. Hyperscience's pitch is that frontier ML models — combined with active learning loops and human-in-the-loop verification — push automation to 99%+ accuracy on forms previously requiring manual review. The on-prem deployment option is a critical differentiator for federal and regulated buyers.
FAQ
Q: Who founded Hyperscience? A: Peter Brodsky, Vladimir Tosic, and Krasimir Marinov co-founded Hyperscience in 2014.
Q: How much has Hyperscience raised? A: Approximately $300M+ across multiple rounds with participation from Tiger Global, Bessemer Venture Partners, Stripes, and Battery Ventures.
Q: What does Hyperscience do? A: Hyperscience automates document processing — extracting structured data from forms, mail, and unstructured documents using proprietary ML models. Used for claims, applications, tax forms, and other high-volume document workflows.
Q: Who uses Hyperscience? A: US federal agencies, insurance carriers, major banks, and Fortune 500 enterprises with high document-processing volume.
Q: Hyperscience vs UiPath Document Understanding? A: UiPath is broader RPA with document understanding as one capability. Hyperscience is purpose-built for high-volume document processing with deeper handwriting and complex-layout accuracy plus on-prem deployment.
tl;dr
Hyperscience is the enterprise AI document-processing platform for high-volume forms, mail, and unstructured documents. ~$300M+ raised; Tiger Global and Bessemer-backed. Customers include US federal agencies, insurance carriers, and Fortune 500 banks. On-prem deployment for regulated industries.
Related
Looking for more options? Browse the Business Process Automation directory or read our best AI process automation tools listicle. Hyperscience is also tracked on Crunchbase.
Why Use Hyperscience

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