Hyperscience
by Hyperscience · Invoice & Document OCR
Enterprise intelligent document processing that extracts and classifies complex documents at scale
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
SAPMicrosoft 365SalesforceIBM FileNetUiPathAWS S3 / Google Cloud Storage / Azure Blob StorageAny system- Deployment
- Cloud, On-premise, Hybrid
- Company size
- Enterprise, Mid-market
- Pricing
- Annual subscription (custom enterprise pricing)
- Founded
- 2014
- Headquarters
- New York, NY, USA
Overview
Hyperscience is an enterprise intelligent document processing (IDP) platform that automates the ingestion, classification, extraction, validation, and routing of structured, semi-structured, and unstructured documents. Its core product, the Hyperscience Hypercell, combines optical character recognition, computer vision, natural language processing, proprietary machine learning models, and large language models to convert documents — including handwritten and low-quality scans — into structured data that downstream business systems can consume.
The platform is built around a human-in-the-loop model: documents that exceed configured confidence thresholds process straight through, while only specific low-confidence fields are surfaced to human reviewers, whose corrections feed back into model training. A low-code "Blocks and Flows" interface lets teams assemble custom processing pipelines from pre-built ingestion, classification, extraction, validation, business-rule, and decisioning blocks, with custom code blocks for proprietary logic. An "Accuracy Harness" lets users define SLA targets that the platform orchestrates against automatically.
Hyperscience targets large, regulated enterprises and public-sector agencies — financial services, insurance, healthcare, logistics, and government — that process high document volumes and have strict security and deployment requirements. It supports on-premises, private-tenant cloud, SaaS, FedRAMP High, and air-gapped deployments, and holds FedRAMP High authorization in addition to SOC 2 Type II and other certifications. Documents are integrated into downstream systems such as ERP, CRM, content management, and RPA platforms via APIs, connectors, and native integration blocks.
Screenshots & demo
Demo video from the vendor's YouTube channel. Screenshots sourced from Hyperscience.
Modules & capabilities
Hyperscience covers 29 of 61 capabilities we track in this category
48%- Printed text OCROCR and full-page transcription for printed and scanned documentsCore strength
- Handwriting & cursive recognitionHandwriting and cursive recognition, including low-quality scansCore strength
- Multi-language text recognitionNot evidenced
- Checkbox / selection-mark detectionNot evidenced
- Barcode & QR code readingNot evidenced
- Signature detection & verificationNot evidenced
- Scan image pre-processingNot evidenced
“Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
Common use cases
- Accounts payable invoice capture and data extraction into ERP/finance systems
- Insurance claims and application intake
- Mortgage and loan document processing
- Government benefits eligibility processing (e.g., SNAP)
- Freight and logistics document automation (bills of lading, freight pay)
- Structuring documents into LLM/RAG-ready data for GenAI applications
- Healthcare records and forms digitization
Strengths & considerations
Strengths
- FedRAMP High authorization and air-gapped deployment for highly regulated and public-sector use
- Strong handwriting and cursive recognition on low-quality scans
- SLA-driven Accuracy Harness that orchestrates workflows to defined accuracy targets
- Human-in-the-loop feedback that continuously retrains proprietary models
- Zero-shot ORCA vision language model for documents without prior template training
Considerations
- Enterprise pricing is high and largely custom; entry configurations start around $50,000/year
- Customization and workflow setup require technical expertise and can be resource-intensive
- Semi-structured and unstructured forms can need significant configuration and training samples
- Language coverage is narrower than some competing IDP platforms
ERP integrations
Connector listed among native Hypercell integrations. No independently verified SAP Store listing found.
Connector details independently verified against vendor marketplaces and documentation; last checked 2026-08-11.
Pricing
Higher Advanced and Premium tiers require direct negotiation; additional AWS infrastructure and implementation costs may apply. Pricing is not fully publicly listed. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- AWS and GCP (including AWS GovCloud); customer private tenant on AWS, Google, or Azure; on-premises and air-gapped options
- Compliance
- FedRAMP High, SOC 2 Type II, ISO 27001 (data center), TX-RAMP Level 2, Cyber Essentials Plus, HIPAA-aligned, GDPR, CCPA
About the vendor
- Founded
- 2014
- Headquarters
- New York, NY, USA
- Ownership
- Private (venture-backed)
- Notable customers
- American Express, Charles Schwab, MetLife, Mutual of Omaha, Stryker, Volkswagen, Hirschbach, U.S. Social Security Administration, U.S. Department of Veterans Affairs, Missouri Department of Social Services
Alternatives to Hyperscience in Invoice & Document OCR
Hyperscience — frequently asked questions
Does Hyperscience integrate with ERP systems?
Yes. Hyperscience integrates extracted document data into downstream systems via REST APIs, webhooks, and pre-built connectors. It lists native connectors for SAP, Microsoft 365, Salesforce, and IBM FileNet, and an API-first model lets it push structured data into virtually any ERP or finance system.
Can Hyperscience be deployed on-premises or in an air-gapped environment?
Yes. Beyond SaaS on AWS and GCP, Hyperscience supports on-premises, customer private-tenant cloud, FedRAMP High (via Palantir), and fully air-gapped deployments, which is a key reason regulated and public-sector organizations adopt it.
How accurate is Hyperscience, including on handwriting?
Hyperscience cites up to 99.5% accuracy and 98% automation across customer workflows, with up to 98% accuracy on handwriting and cursive even in low-quality scans. Independent reviews report somewhat lower handwriting extraction accuracy in practice and note that results depend on document type and training.
What does Hyperscience cost?
Pricing is custom enterprise pricing and not fully public. An entry HS Private Cloud Professional configuration is listed at about $50,000/year on AWS Marketplace, with Advanced and Premium tiers requiring direct negotiation, plus infrastructure and implementation costs.
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