Last updated 08-20-2026
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Hyperscience
Hyperscience reads, classifies, and extracts data from unstructured enterprise documents at scale through its Hypercell intelligent document processing platform. It handles invoices, mortgage files, benefits forms, and handwritten paperwork, then routes validated output into downstream systems with accuracy rates the company cites at 99.5% and automation rates near 98%.
Legacy OCR tools break on messy scans and need constant template retraining. Hyperscience uses a model-first architecture with specialized models plus ORCA, its zero-shot vision language model, to process new document types without prior training runs. The platform is FedRAMP High authorized and integrates with AWS, Azure, and Google Cloud for public sector and regulated workloads.
Operations teams in financial services, insurance, logistics, and government agencies use Hyperscience to replace manual data entry. Named a Leader in the first Gartner Magic Quadrant for Intelligent Document Processing (2025) and the Forrester Wave for Document Mining and Analytics (Q2 2026), with customers including American Express, MetLife, and the US Social Security Administration.
Hypercell platform reports 99.5% document processing accuracy and up to 98% automation even on handwritten forms
ORCA zero-shot vision language model extracts data from new document layouts without prior model training
FedRAMP High authorized deployment with multi-cloud support on AWS, Microsoft Azure, and Google Cloud Platform
Hypercell for SNAP and Freight Pay ship prebuilt flows for public benefits eligibility and logistics invoicing
Agentic workflow orchestration routes documents from ingestion through human-in-the-loop review to final decisions
Redaction and masking tools strip PII for FOIA, GDPR, and privacy-compliant document sharing
Named a Leader in the first Gartner Magic Quadrant for Intelligent Document Processing (2025) plus five other tier-one analyst reports
ORCA zero-shot VLM handles new document layouts and handwriting without a separate training project for each form type
FedRAMP High authorization and built-in redaction support regulated public sector and healthcare document workflows
Prebuilt Hypercell blocks for SNAP eligibility and freight pay target high-volume verticals out of the box
No self-serve pricing or trial signup; every deployment starts with a sales meeting
Enterprise focus means small teams with light document volume may find the platform heavier than needed
Primary marketing site now lives at hyperscience.ai while the stored domain redirects, which can confuse bookmarked links
Deep customization through composable blocks and Python extensions requires implementation partner or internal engineering capacity
What does Hyperscience do?
Hyperscience automates intelligent document processing for enterprise back offices. Its Hypercell platform reads structured and unstructured documents, extracts fields with cited 99.5% accuracy, and feeds validated data into downstream business systems through APIs and composable workflow blocks.
Which industries use Hyperscience?
Hyperscience lists solutions for financial services, insurance, healthcare, legal, manufacturing, retail, transportation, energy, and public sector agencies. Customer logos include American Express, Charles Schwab, MetLife, Volkswagen, and US federal agencies like the Social Security Administration.
Is Hyperscience FedRAMP authorized?
Yes. Hyperscience states its Hypercell platform holds FedRAMP High authorization for key public sector workloads. The platform also supports deployment on AWS, Azure, and Google Cloud with governance, auditability, and data masking built in.
What is ORCA in Hyperscience?
ORCA is Hyperscience's zero-shot Vision Language Model framework for document extraction. It processes irregular formats and messy handwriting using natural language prompts to define fields, without requiring a separate training cycle for each new document type.
How much does Hyperscience cost?
Hyperscience does not publish list pricing on its website. Enterprise plans are sold through a speak-to-an-expert or book-a-meeting flow, with pricing negotiated based on document volume, deployment model, and industry requirements.
How does Hyperscience compare to OCR?
Hyperscience positions Hypercell against traditional OCR and legacy IDP tools on its Hyperscience vs OCR page. The platform uses trainable specialized models and human-in-the-loop review rather than fixed templates, targeting unstructured documents like contracts and handwritten forms.