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Hyperscience

Hyperscience

Enterprise AI document processing platform automating complex, high-volume document workflows for regulated industries.

Pricing
$$$$
Classification
AI-Native
Type
Platform Suite

What it does

Hyperscience is an enterprise AI document processing platform that automates complex document intake workflows for financial services, insurance, healthcare, and government - handling applications, claims, forms, and correspondence at scale with high accuracy. AI capabilities include machine learning document classification that routes documents to appropriate processing workflows, AI data extraction that accurately captures structured and unstructured information from diverse document types regardless of format variation, intelligent exception handling that routes low-confidence extractions to human review with pre-populated suggestions, automated straight-through processing for high-confidence documents, and process analytics that track automation rates, accuracy, and processing capacity across document workflows.

Why AI-NATIVE

Hyperscience is AI-native - ML document classification, AI data extraction with confidence scoring, and automated straight-through processing for regulated enterprise document workflows are the core product architecture.

Best for

Enterprise

Large financial institutions, insurance carriers, and government agencies use Hyperscience for AI document automation - ML extraction processing millions of applications and claims with high accuracy and automated STP for qualifying documents.

Limitations

Enterprise regulated industry focus only

Hyperscience is designed for high-volume, regulated document processing in financial services, insurance, and government — smaller organizations and non-regulated industries find the cost disproportionate.

Implementation is a significant program

Hyperscience implementations require document type configuration, ML model training on organization-specific documents, and workflow integration — programs run 3 to 12 months with professional services investment.

AI accuracy requires ongoing model maintenance

Document layouts change over time as organizations update forms — Hyperscience ML models require periodic retraining and monitoring to maintain accuracy as document variants evolve.

Alternatives by segment

If you need…Consider instead
Cloud document AI APIGoogle Document AI
Financial document intelligenceEigen Technologies
Invoice and AP automationExtend AI
Pricing

Hyperscience enterprise contracts not published. Large deployments run hundreds of thousands to millions annually. Annual contracts with professional services.

Key integrations
Salesforce
SAP
Oracle
Microsoft 365
AWS
Microsoft Azure
Servicenow