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Hyperscience

Enterprise intelligent document processing with human-in-the-loop review.

4.1 Automation
4.1 Very good 4.1

Bottom line: Enterprise intelligent document processing with human-in-the-loop review.

Over a decade in the intelligent-document-processing market, with more than $300 million raised backing continued development Pricing is entirely custom and undisclosed, making it hard to budget without a sales cycle
Reviewed by Challenging Voice Editorial · Updated Aug 2026 How we rate
PricingContact for Pricing
Free planNo
CompanyHyperscience
PlatformsAPI, Web
Best forAutomation
Founded2014
Visits17
Last reviewedAug 2026
UpdatedAug 2026
Ask AI about Hyperscience ChatGPT Claude Perplexity

Overview

Hyperscience is an enterprise intelligent document processing platform that automates data extraction and validation from scanned forms and documents. Peter Brodsky co-founded the company with Vladimir Tosic and Krasimir Marinov in 2014 in Sofia, Bulgaria, and it now runs dual headquarters between Sofia and New York City after raising more than $300 million.

The platform combines automated extraction with a human-in-the-loop review queue, routing low-confidence extractions to a person before the data reaches downstream systems, rather than trusting fully automated output on messy real-world paperwork. Hyperscience deploys on-premises or in the cloud, a distinction that matters for regulated industries like insurance and government that can't send documents to a pure cloud service.

It's built for large enterprises processing high volumes of forms and documents, not small businesses with occasional paperwork. Hyperscience does not publish pricing; costs are negotiated per deployment, with some customer reports citing per-page charges up to $1.50 in certain configurations.

Key features

  • Intelligent document processing that extracts and validates data from scanned forms and documents
  • Human-in-the-loop review queue for low-confidence extractions before they reach downstream systems
  • Pre-built connectors for common enterprise systems of record
  • Deployable on-premises or in the cloud for regulated industries
  • Hyperautomation Network for orchestrating document workflows across multiple systems
  • Per-page-based cost structure for high-volume document processing

Screenshots & demo

Demo video

Screenshots

Hyperscience screenshot 1

Pricing

Hyperscience uses custom pricing. Contact their team for a quote based on your needs.

  • Pricing modelContact for Pricing
  • Starting priceCustom
  • Free planNo
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Pricing is provided as a guide. Check the official site for the latest plans.

Pros & cons

Pros

  • Over a decade in the intelligent-document-processing market, with more than $300 million raised backing continued development
  • Human-in-the-loop review reduces the silent-error risk of fully automated extraction on messy real-world documents
  • On-premises deployment option fits regulated industries like insurance, government, and healthcare that can't send documents to a pure cloud service
  • Founder-led continuity under CEO Peter Brodsky since the 2014 founding gives the product a consistent long-term roadmap

Cons

  • Pricing is entirely custom and undisclosed, making it hard to budget without a sales cycle
  • Per-page charges, reportedly up to $1.50 a page in some deployments, can add up fast at enterprise document volumes
  • Built for large-scale, high-document-volume operations, more than a small business processing a handful of forms a day needs
  • Implementation and integration timelines for enterprise deployments run longer than self-serve SaaS document tools

How it compares

ToolRatingFreeFromBest known for
Hyperscience (this tool)4.1NoIntelligent document processing that extracts and validates data from scanned forms and documents
AntWorks3.8NoCognitive Machine Reading document engine
Sensible.so4.2YesFreeSchema-validated extraction guaranteeing output structure
Cradl AI3.4YesFreeAutomated structured data extraction from invoices, forms, and statements

Alternatives to Hyperscience

4 tools matched to Hyperscience on what they do, their category and their price.

AntWorks

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Intelligent document processing platform that automates data capture and extraction across formats and languages.

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Cradl AI

3.4

Extract structured data from invoices, forms, and statements – the AI flags uncertain predictions for human review and learns from every correction, so accuracy improves over time.

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NewgenONE

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Low-code enterprise platform combining agentic AI, intelligent document processing and process automation with a content services layer.

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Frequently asked questions

What is Hyperscience?
Hyperscience is an enterprise intelligent document processing platform that automates data extraction and validation from scanned forms and documents.
Is Hyperscience free?
Hyperscience does not offer a free plan.
What are the best Hyperscience alternatives?
The closest matches in the directory are AntWorks, Sensible.so, and Cradl AI, compared side by side above.

Reviews

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