Hyperscience
Hyperscience is a New York-based enterprise AI company founded in 2014 that provides the Hypercell intelligent document processing platform to Fortune 500 enterprises and government agencies, processing billions of pages annually across 43,000+ document types in 100+ languages.
- Company typePrivate
- Founded2014
- HeadquartersNew York, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Hyperscience does
Hyperscience (legal entity Hyper Labs, Inc.) is a New York-based enterprise AI infrastructure company founded in 2014 that develops the Hypercell platform for intelligent document processing (IDP). The company serves Fortune 500 enterprises and government agencies across financial services, insurance, public sector, transportation and logistics, healthcare, manufacturing, energy, legal, and retail verticals, with named customers including American Express, Charles Schwab, MetLife, Stryker, Volkswagen, the US Social Security Administration, US Veterans Affairs, HMRC, CI Financial, and Hirschbach Motor Lines. Enterprise clients process billions of pages annually across 43,000+ unique document types in 100+ languages, with customers regularly achieving 99.5% processing accuracy and 98% automation rates.
The Hypercell platform is built on a proprietary ML-first architecture incorporating computer vision, natural language processing, and a proprietary Vision Language Model framework called ORCA (Optical Reasoning and Cognition Agent) that enables zero-shot document understanding without prior model training. The platform features an Accuracy Harness that autonomously orchestrates models and quality assurance to meet defined SLA targets, an Inference Layering Optimization layer that dynamically routes workloads across CPUs, GPUs, and frontier models including NVIDIA Nemotron and Google Gemini, and Human-in-the-Loop plus AI-in-the-Loop governance for exception handling. Modular Blocks and Flows enable low-code workflow configuration, while native integrations connect to AWS, Google Cloud, Azure, SAP, Salesforce, IBM FileNet, UiPath, and Box. Vertical solutions include Hypercell for SNAP (public-sector benefits processing), Hypercell for Freight Pay (logistics billing), and Hypercell for GenAI (LLM training data preparation).
Hyperscience operates a volume-based subscription model with usage-based pricing that scales from hundreds of thousands of pages annually to over 1 billion pages per enterprise, supplemented by professional services delivered through system integrators like Deloitte and Accenture. The company sells primarily through direct enterprise field sales targeting regulated industries and government, with additional distribution via cloud marketplaces (AWS, Google Cloud, Azure) and channel partners including Carahsoft for public sector. The company is FedRAMP High authorized, SOC 2 Type II certified, and compliant with GDPR and CCPA. The company reports strong double-digit year-over-year revenue growth, is backed by Bessemer Venture Partners, Stripes, Tiger Global, Bond, FirstMark, GIC, and FPV Ventures, and has raised approximately $289M in total funding with a $1.99B post-money valuation from its December 2021 Series E round.
Hyperscience firmographics
Firmographics- Name
- Hyperscience
- Legal name
- Hyper Labs, Inc.
- Website
- https://hyperscience.ai
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- Hyperscience is a New York-based enterprise AI company founded in 2014 that provides the Hypercell intelligent document processing platform to Fortune 500 enterprises and government agencies, processing billions of pages annually across 43,000+ document types in 100+ languages.
- Ownership category
- akta.pro rank
Hyperscience industry classification
Industry- Product category
- Intelligent Document Processing (IDP) Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Robotic Process Automation (RPA) & Hyperautomation Platforms (HDAEAKAF)
Keywords
Where Hyperscience is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Hyperscience business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Platform Subscription: Volume-based and outcome-driven pricing rather than per-user. Unit cost per page progressively decreases as volume scales. Tiers range from hundreds of thousands of pages per year to enterprise scales exceeding 1 billion pages annually.
- Usage-based Processing: Volume-based pricing scales with document processing volume. Larger enterprises with higher page volumes benefit from lower unit costs.
- Professional Services: Implementation and consulting services through partnerships with system integrators and consultants like Deloitte, Accenture, and WNS.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Unit Pricing | Annual | Entry tier for organizations processing hundreds of thousands of pages annually |
| Unit Pricing | Multi-year contract | Enterprise tier for organizations processing billions of pages annually |
Go-to-market motion2 records
Distribution channels6 records
Marketing channels7 records
Hyperscience product offering
Product offeringCore offering
Hyperscience sells the Hypercell Platform, an ML-first intelligent document processing (IDP) platform that reads, classifies, extracts, and validates data from complex unstructured documents including handwriting at 99.5% accuracy. The platform combines proprietary machine learning models, computer vision, and the ORCA Vision Language Model to automate enterprise back-office workflows across 43,000+ document types in 100+ languages. Specialized solutions built on the core platform include Hypercell for SNAP (government benefits), Hypercell for Freight Pay (logistics billing), and Hypercell for GenAI (LLM training data preparation).
Product overview
Hyperscience offers the Hypercell Platform as its core enterprise AI infrastructure product, a modular and composable AI architecture for intelligent document processing. The portfolio includes specialized vertical solutions — Hypercell for SNAP for government benefits processing, Hypercell for Freight Pay for logistics billing, and Hypercell for GenAI for LLM training data preparation — all built on the same Hypercell core. The ORCA Vision Language Model framework provides zero-shot document understanding and complements the platform's ML-based processing, enabling both specialized model-driven and VLM-driven approaches within a unified workflow.
Differentiator
Problem solved
Functional benefit
Brands
- Hypercell: The core AI platform that transforms back-office operations and enterprise decision-making through intelligent document processing.
Products and services
- Hypercell Platform The core enterprise AI infrastructure platform for intelligent document processing, transforming back-office operations through a modular, composable AI architecture with ML-based document processing, intelligent routing, decision automation, and human-in-the-loop review capabilities. Supports 43,000+ document types across 100+ languages with FedRAMP High authorization and multi-cloud deployment on AWS, Azure, and GCP.
- Hypercell for SNAP A purpose-built AI solution helping U.S. state and local governments automate and improve the processing of SNAP benefit applications, reducing payment error rates, administrative costs, and application processing times while meeting H.R.1 compliance mandates. Missouri Department of Social Services uses this solution to process 30+ eligibility document types across hundreds of thousands of applicants.
- Hypercell for Freight Pay A specialized solution for the freight and logistics industry that automates document processing for billing and settlements, including bills of lading, proof of delivery, lumper receipts, rate confirmations, and accessorial documentation.
- Hypercell for GenAI A solution that automatically labels, annotates, and structures complex documents to create rich business context and high-quality training data, enabling organizations to fine-tune LLMs with proprietary data for relevant, in-context results and enterprise-scale AI adoption.
- ORCA (Optical Reasoning and Cognition Agent) A Vision Language Model (VLM) framework enabling highly accurate processing of complex and varied documents without prior model training, using natural language prompts to define extraction requirements and handling irregular formats, messy handwriting, and specific data output needs.
Quantifiable outcome
- 99.5% accuracy rate in document processing
- +8 more outcomes
Companies that use Hyperscience
Customer profileNamed customers17 records
Segments9 records
Ideal customer profiles4 records
Hyperscience technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability10 records
Feature9 records
Hyperscience partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core and minor.
- BoxplotcoreHyperscience acquired Berlin-based Boxplot in December 2021 to enhance graph data modeling capabilities and create a unified platform for processing and storing data to enhance enterprise automation and decision-making.
- Google CloudcorePartnership for cloud-native deployment including Google Distributed Cloud for air-gapped government environments. Hyperscience available on Google Cloud Marketplace with native integrations for Vertex AI, Gemini, BigQuery, and Looker.
- AWScoreAWS Marketplace listing and native integrations with Amazon S3, Lambda, SageMaker, Comprehend, Aurora, and Claude/Bedrock for generative AI capabilities.
- Microsoft AzurecoreAzure Marketplace listing with native integrations for Azure Blob Storage, Azure Functions, Azure Database, Azure AI, and OpenAI for advanced AI capabilities.
- HPE (Hewlett Packard Enterprise)corePartnership for specialized air-gapped deployments for highly secure environments, enabling government and regulated industry deployments.
- PalantircorePartnership for FedRAMP High deployment enabling compliance with stringent security requirements for government agencies through Palantir's secure infrastructure.
- DeloittecoreSystem integrator partner providing implementation and consulting services for enterprise deployments, helping clients modernize document-driven workflows.
- AccenturecoreAccenture provides implementation services and consulting for Hyperscience deployments across enterprise clients.
- WNSminorBusiness process outsourcing partner integrating Hyperscience for document automation within client operations.
- CarahsoftcoreGovernment technology distributor enabling Hyperscience sales to federal, state, and local government agencies.
Scale indicators11 records
Recent moves6 records
Expansion highlights7 records
Hyperscience competitors and assessment
Company assessmentDirect peers
- Instabase: AI platform for unstructured data and complex document workflows, with a strong presence in financial services. Direct competitor in the IDP and document intelligence space, particularly for complex enterprise workflows requiring deep automation.
- Rossum: AI-native IDP pure-play focused on transactional documents like invoices, purchase orders, and bills of lading. Direct competitor in the same Intelligent Document Processing Magic Quadrant category as Hyperscience, with similar target customers in logistics and finance.
- ABBYY: Long-standing intelligent document processing and OCR vendor with Vantage platform. Direct competitor to Hyperscience in enterprise IDP for financial services, insurance, and government, with comparable accuracy targets and ML-based extraction.
- Indico Data: Intelligent document processing platform specializing in insurance and financial services. Direct competitor in enterprise IDP, with similar ML-first architecture and focus on unstructured document understanding at scale.
- WorkFusion: AI-driven intelligent automation platform focused on financial services document operations and anti-money laundering. Direct competitor in regulated-industry document processing and a fellow IDP specialist.
Broad incumbents
- Automation Anywhere: Public enterprise RPA and AI automation platform with document processing capabilities. Competes in the same enterprise automation category as Hyperscience, though with a broader automation portfolio rather than IDP specialization.
- UiPath: Public RPA and hyperautomation platform. Hyperscience explicitly integrates with UiPath to 'supercharge' it with high-accuracy document extraction, but UiPath also ships its own document understanding capabilities, making it both a partner and a competitor in the IDP space.
- Google Document AI: Google Cloud's enterprise document processing service leveraging Google foundation models. Competes with Hyperscience in IDP while also being a strategic technology partner through Google Cloud Marketplace and Gemini integration.
- Microsoft (Azure AI Document Intelligence): Microsoft's Azure AI Document Intelligence (formerly Form Recognizer) is a hyperscaler-scale IDP offering bundled into enterprise cloud contracts. Major competitive threat due to bundling economics and Microsoft's enterprise sales reach.
- Amazon Textract: AWS's ML-based document extraction service bundled into the AWS ecosystem. Competes with Hyperscience for enterprise IDP workloads, particularly among AWS-centric customers who can procure via AWS Marketplace.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
Hyperscience social profiles
Digital presenceHyperscience compliance and trust
Trust signalCompliance5 records
Hyperscience financial estimates
Financial estimateRevenue estimate
Valuation estimate
Hyperscience leadership team
Management profileNumber of profiles
Profiles21 records
Hyperscience subsidiaries and ownership
Company hierarchySubsidiaries1 record
Hyperscience funding detail
Funding detailFunding overview
Funding rounds9 records
Investors25 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Hyperscience M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Hyperscience
What does Hyperscience do?
Hyperscience sells the Hypercell Platform, an ML-first intelligent document processing (IDP) platform that reads, classifies, extracts, and validates data from complex unstructured documents including handwriting at 99.5% accuracy. The platform combines proprietary machine learning models, computer vision, and the ORCA Vision Language Model to automate enterprise back-office workflows across 43,000+ document types in 100+ languages. Specialized solutions built on the core platform include Hypercell for SNAP (government benefits), Hypercell for Freight Pay (logistics billing), and Hypercell for GenAI (LLM training data preparation).
Is Hyperscience a public or private company?
Hyperscience is a private company. It is classified as venture growth investor backed and is currently operating.
When was Hyperscience founded?
Hyperscience was founded in 2014. It employs 251 to 500 people.
Where is Hyperscience based?
Hyperscience is headquartered in New York, United States, in the North America region.
How does Hyperscience make money?
Three revenue lines are on record. Platform Subscription is the primary driver. The others are usage-based Processing and professional Services.
Who are Hyperscience's main competitors?
Direct peers on record are Instabase, Rossum, ABBYY, Indico Data and WorkFusion. Broad incumbents are Automation Anywhere, UiPath, Google Document AI, Microsoft (Azure AI Document Intelligence) and Amazon Textract.
Does Hyperscience have an API?
Yes. The Hyperscience Hypercell platform features an API-first architecture with native Flow Blocks for seamless integration with enterprise applications. The platform treats integrations as configurable Blocks within the workflow engine, enabling data to flow between systems in real time. The platform includes native Flow Blocks for AWS S3, Google Cloud Storage, Azure Blob Storage, SAP, Salesforce, Microsoft 365, IBM FileNet, and is used to supercharge legacy RPA like UiPath. Documents processed by Hypercell are output as structured JSON payloads for downstream delivery via API. Developer documentation is at docs.hyperscience.com/#introduction.
What industry is Hyperscience in?
Hyperscience's product category is Intelligent Document Processing (IDP) Software. Its primary akta.pro industry code is HDAEAKAF, Robotic Process Automation (RPA) & Hyperautomation Platforms. Its NAICS code is 51821 and its SIC code is 7372.