Hyperscience
Automate complex workflows with precise, customizable AI-driven solutions.. [Contact for Pricing]
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What is Hyperscience?
Hyperscience is an industry-leading Enterprise AI platform for Intelligent Document Processing (IDP) that automatically reads, understands, and processes documents at massive scale. Built on machine learning architecture, it transforms unstructured content into structured, actionable data by automatically labeling, annotating, and structuring complex documents including structured forms, semi-structured documents, unstructured documents, and handwritten text.
Key features include up to 99.5% accuracy in data extraction, 98% automation rates, processing of billions of pages, FedRAMP High authorization for security and compliance, seamless integration with downstream systems and tech stacks, human-in-the-loop supervision workflows, Flow Studio low-code development environment, and out-of-the-box integrations with GPT-4 and Llama2 for Generative AI applications. The platform provides visual template projection, machine learning data extraction, and creates trusted high-quality data to train AI models with business-specific accuracy.
Hyperscience is designed for enterprise organizations including Fortune 500 companies and government agencies that need to automate manual, siloed document processes. Typical users include companies like American Express, Charles Schwab, MetLife, Volkswagen, US Social Security Administration, and Veterans Affairs. It serves industries requiring high accuracy document processing such as finance, healthcare, insurance, logistics, and federal/state/local government agencies handling mission-critical processes.
Hyperscience pricing
Pricing model: Freemium
Hyperscience does not publish transparent pricing on its website. Pricing is enterprise-based and requires contacting hyperscience.com/contact for details. Known pricing information includes approximately $1.50 per page charge, with different models based on minimum page volumes and fixed pricing. The platform offers lifetime licensing options. There is no free trial or free/freemium version available. No setup fee is required. According to third-party sources, entry-level paid pricing starts around $129/month, with a $250/month plan for 5 users. The platform is 33% more expensive than the average IDP product, categorized as (mid-market). Contact Hyperscience directly at hyperscience.com/contact or [email protected] for enterprise pricing details.
Hyperscience pros
- Up to 99.5% accuracy in document data extraction
- 98% automation rate reducing manual work
- FedRAMP High authorized for enterprise security
- Processes billions of pages at scale
- Handles structured, semi-structured, and unstructured documents
- Excellent handwriting recognition capabilities
- No setup fee required
- Intuitive UI allows business users to set up models in under 30 minutes
- Up to 90% cost reduction in document processing
- Pre-built models for common document types
- Human-in-the-loop supervision for quality control
- Flow Studio low-code development environment
- Integrates with existing tech stack and downstream systems
- Named Leader by six tier-one analyst firms including Gartner and Forrester
- Fine-tune LLMs with proprietary data for business-specific accuracy
- 5-6 weeks typical time from agreement to data flow
- Supports English, French, German, Italian, Spanish languages
Hyperscience cons
- Expensive pricing at approximately $1.50 per page
- 33% more expensive than average IDP products
- No free trial available
- No free or freemium version offered
- Limited pre-trained modules available in various languages
- Some problems persist with handwritten documents
- Limited image support compared to competitors
- Requires human oversight for semi-automated processes
- Setup time longer than some competitors like Infrrd
- No premium consulting or integration services offered
Frequently asked questions about Hyperscience
What is Hyperscience?
Hyperscience is an industry-leading Enterprise AI platform for Intelligent Document Processing (IDP) that automates document processes and turns unstructured content into structured actionable data. Built on ML architecture, it reads, understands, and processes at scale the wide variety of data and documents that flow through organizations every day, delivering accuracy rates of 99.5%.
What types of documents can Hyperscience process?
Hyperscience processes structured forms, semi-structured documents, unstructured documents, handwritten text, PDFs, low-resolution images, contracts, lease agreements, loan documents, invoices, and any document type including those with handwritten text. It handles both physical and digital documents from input to actionable data.
How accurate is Hyperscience's data extraction?
Hyperscience extracts data from complex documents with up to 99.5% accuracy, outperforming any challenger in tech evaluations. The platform achieves 98% automation rates and has processed billions of pages. Accuracy is prioritized as the top concern when automating any business process.
Is Hyperscience secure and compliant?
Yes, Hyperscience is FedRAMP High authorized for security and compliance. The platform ensures accuracy, security, compliance, and governance for enterprise-scale AI adoption. It adheres to EU GDPR, EU AI Act (anticipated minimal/no risk category), UK Government White Paper principles, and US Executive Order on Safe, Secure, and Trustworthy AI development.
Does Hyperscience integrate with other systems?
Yes, Hyperscience is extensible with downstream systems and processes. The platform integrates with leading software providers to automate end-to-end business processes. It features out-of-the-box integration with GPT-4 and Llama2 for Generative AI, and connects with existing systems and applications to simplify document processing workflows.
How long does it take to implement Hyperscience?
From signing the agreement to seeing data flow through takes 5-6 weeks. The intuitive UI is built for business users to easily set up layouts, models, and supervision tasks in under 30 minutes without requiring dedicated developer resources. Customers report turning off 20-year-old systems once Hyperscience is up and running.
Does Hyperscience use customer data to train its models?
Hyperscience does not use customer data without express written consent. For proprietary models, they use synthetic data, open-source data, and data from partnerships with sensitive information redacted. SaaS customers can opt to allow Hyperscience to use de-identified data (PII replaced with synthetic data) to improve services, but access is limited and tracked.
How does Hyperscience handle Generative AI and LLMs?
Hyperscience does not rely on LLMs/Gen-AI within core data processing workflows but enables customers to leverage LLM/GenAI through Flow Studio low-code environment. It includes out-of-the-box Blocks for GPT-4 and Llama2 in Hyperscience Flows, with human supervision interfaces to ensure quality. Llama2 can be deployed in air-gapped environments so sensitive data never leaves trusted environments.
What industries and companies use Hyperscience?
Market leaders across industries rely on Hyperscience including American Express, Charles Schwab, MetLife, Mutual of Omaha, Stryker, Volkswagen, Hirschbach Motor Lines, TD Ameritrade, and DISA Global Solutions. Federal, state, and local agencies worldwide trust it including US Social Security Administration, United States Veterans Affairs, California Dept. of Corrections, and Missouri Dept. of Social Services.
What analyst recognitions has Hyperscience received?
Hyperscience is named a Leader by six tier-one analyst firms: Gartner Magic Quadrant for Intelligent Document Processing 2025, Forrester Wave Document Mining and Analytics Platforms Q2 2026, GigaOm Radar for IDP, IDC MarketScape for Unstructured IDP Software 2024, ISG Buyers Guide for IDP, and PEAK Matrix Assessment 2025 for IDP Products. GigaOm specifically noted its AI-driven approach guarantees accuracy in any document type including handwritten text.