Hyperscience

What It Does

Hyperscience is an industry-leading enterprise AI platform that transforms how organizations process documents and data at scale. Built on advanced machine learning architecture, the platform reads, understands, and processes the wide variety of structured and unstructured documents that flow through businesses every day—including handwritten text—delivering accuracy rates of 99.5% and outperforming competitors in technical evaluations.

Who It's For

Hyperscience serves market leaders across multiple industries including financial services, healthcare, insurance, legal, manufacturing, public sector, retail, transportation, and logistics. Federal, state, and local government agencies trust the platform to run mission-critical processes. Major organizations like American Express, Charles Schwab, MetLife, Stryker, Volkswagen, the US Social Security Administration, and the Missouri Department of Social Services rely on Hyperscience to automate operations and modernize workflows.

Key Capabilities

• Intelligent Document Processing (IDP): Automatically classifies, extracts, and structures data from any document type—structured, unstructured, or handwritten • GenAI Integration: Labels, annotates, and structures complex documents to create trusted, high-quality training data for fine-tuning LLMs with business-specific accuracy • Enterprise-Grade Security: FedRAMP High authorized with built-in compliance, governance, and security controls • Extensible Integration: Seamlessly connects with downstream systems and existing tech stacks through APIs and enterprise connectors • Industry-Specific Solutions: Purpose-built products including Hypercell for Freight Pay, Hypercell for GenAI, and Hypercell for SNAP (public benefits processing)

Differentiation & Recognition

Hyperscience has been recognized as a Leader by six tier-one analyst firms including Gartner® Magic Quadrant™ for IDP (2025), Forrester Wave™: Document Mining and Analytics Platforms (Q2 2026), IDC MarketScape for Unstructured IDP Software (2024), and GigaOm Radar for IDP. The platform's model-first approach delivers unparalleled accuracy for handwriting recognition, a persistent challenge for many vendors. Organizations achieve demonstrable ROI through faster decision-making, reduced errors, positive stakeholder experiences, and the ability to transform manual, siloed processes into automation at scale.