Hyperscience
Hyperscience automates document processing and back-office workflows with AI.
Hyperscience is an AI-powered intelligent document processing (IDP) platform that automates back-office and business processes using proprietary machine learning and OCR technology. The platform processes documents with 99.5% accuracy and achieves 75-95% automation out-of-the-box, scaling to 99%+ with tuning. It serves enterprise customers across financial services, healthcare, and government sectors by orchestrating a composable mix of models—proprietary ML, vision language models, and LLMs—to meet specific cost, accuracy, and time-to-value requirements. What sets Hyperscience apart is its flexibility to let customers choose the right AI approach for their specific automation needs rather than forcing a one-size-fits-all solution.
Problem solved
Enterprises spend significant time and resources manually processing documents and back-office data, limiting scalability and introducing errors.
Target customer
Enterprise organizations in financial services, healthcare, and government sectors with high-volume document processing and complex back-office automation needs.
Founders
K
Krasimir Marinov
Co-Founder
Co-founder of Hyperscience, specializing in machine learning and document processing technology.
P
Peter Brodsky
Co-Founder & CEO
Co-founder and current CEO of Hyperscience.
V
Vladimir Tzankov
Co-Founder
Co-founder of Hyperscience, contributing to the company's AI and automation technology foundation.
Funding history
Series B
Unknown
January 2019
Led by Global Founders Capital
· Unknown
Series C
$60M
June 2020
Led by Unknown
· Unknown
Series D
$80M
Unknown
Led by Tiger Global
· BOND
Series E
$100M
December 2021
Led by Global Founders Capital, Tiger Global, Stripes
· Bessemer Venture Partners
Total raised:
$439M
Industries
Pricing
Enterprise pricing model with tiered options. Essentials package starts at $50,000 on-premises. Implementation typically includes $100,000 one-time setup cost for model training and workflow design, plus recurring annual platform fees (reported around $153,639/year for Hypercell). Volume-based licensing with per-page charges up to $1.50 reported. Contact sales for custom enterprise pricing.
Notable customers
American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, U.S. Department of Veterans Affairs, U.S. Social Security Administration, U.S. Department of Justice, Pure Fishing, Wefox, Reveal Group
Website
Competitors
UiPath
Broader RPA platform with document processing capabilities; Hyperscience focuses specifically on intelligent document processing with more advanced ML model composition.
Instabase
Also focuses on intelligent document processing but with different model architecture; Hyperscience offers broader model orchestration flexibility.
Alteryx
Data analytics and automation platform with broader scope; Hyperscience specializes more deeply in document and back-office automation.
Rossum
Competitor IDP platform; Hyperscience differentiates through superior accuracy (99.5%) and faster out-of-the-box automation rates (75-95%).
Why this matters: Hyperscience is a clear leader in intelligent document processing, commanding $439M in funding and serving marquee enterprise customers across government, finance, and healthcare. The company's focus on composable AI models and superior accuracy positions it well in the growing hyperautomation market, and its Winter 2025 agentic automation capabilities signal continued innovation in an increasingly competitive space.
Best for: Enterprise organizations seeking to automate high-volume document processing and back-office workflows with industry-leading accuracy and flexible AI model selection.
Use cases
Invoice and expense processing in financial services
Financial institutions use Hyperscience to automatically extract data from invoices, receipts, and expense reports, reducing manual data entry by 95%+ and accelerating payment cycles. The 99.5% accuracy ensures minimal downstream errors in accounting systems.
Government benefits and claims processing
U.S. government agencies (VA, SSA) leverage Hyperscience to process citizen applications and claims forms at scale, including handwritten documents. The platform handles complex, unstructured forms while maintaining compliance and audit trails.
Healthcare insurance claim adjudication
Healthcare organizations use the platform to automatically process insurance claims and patient intake forms, extracting critical data with 99.5% accuracy and routing claims efficiently through approval workflows.
Supply chain and logistics document automation
Companies like Pure Fishing use Hyperscience to automate complex purchase orders, invoices, and shipping documents, improving data quality and reducing manual processing time by weeks.
Alternatives
UiPath
Choose UiPath for broader RPA capabilities beyond document processing; choose Hyperscience for specialized, deep document automation with superior accuracy.
Instabase
Choose Instabase for alternative IDP approach; choose Hyperscience for broader model orchestration flexibility and proven enterprise scale.
Alteryx
Choose Alteryx for broader data analytics and integration; choose Hyperscience for specialized document processing automation with minimal setup time.
FAQ
What does Hyperscience do? +
Hyperscience is an AI-powered intelligent document processing (IDP) platform that automates back-office workflows and document processing. Using proprietary machine learning and OCR technology, it achieves 99.5% accuracy and 75-95% out-of-the-box automation, helping enterprises reduce manual data entry and accelerate business processes across finance, healthcare, and government sectors.
How much does Hyperscience cost? +
Hyperscience pricing is enterprise-focused and not publicly standardized. Essentials package starts at $50,000 on-premises, with typical implementations including ~$100,000 one-time setup cost and ~$153,639 annual platform fees. Per-page charges up to $1.50 have been reported. Contact sales for custom pricing based on document volume and use case.
What are alternatives to Hyperscience? +
Key alternatives include UiPath (broader RPA platform), Instabase (alternative IDP approach), Alteryx (broader data automation), and Rossum (focused IDP competitor). Choose based on whether you need document-specific automation (Hyperscience) or broader process automation capabilities.
Who uses Hyperscience? +
Enterprise organizations in financial services (American Express, Charles Schwab), healthcare, and government (U.S. VA, SSA, Department of Justice) use Hyperscience. Companies like Mars, Stryker, and Pure Fishing also rely on it for high-volume document automation and back-office processing.
How does Hyperscience compare to UiPath? +
Both automate business processes, but Hyperscience specializes specifically in intelligent document processing with superior accuracy (99.5%) and faster time-to-value. UiPath is a broader RPA platform covering multiple automation types. Choose Hyperscience for document-centric workflows; choose UiPath for broader process automation beyond documents.
What makes Hyperscience different from other IDP platforms? +
Hyperscience differentiates through its composable AI model approach—customers can choose between proprietary ML, vision language models, and LLMs based on cost, accuracy, and time-to-value needs. It also delivers industry-leading 99.5% accuracy and 75-95% out-of-the-box automation, with proven enterprise scale across government and financial services.
Tags
intelligent document processing
IDP
hyperautomation
document automation
OCR
machine learning
back-office automation
workflow automation
enterprise automation
AI orchestration