Hyperscience is an enterprise AI company specializing in intelligent document processing (IDP). Its platform uses machine learning to automate the extraction, classification, and validation of data from complex, unstructured documents—reducing manual processing and improving accuracy across industries such as government, banking, insurance, and healthcare.
Unlike traditional optical character recognition (OCR) or rule-based automation systems, Hyperscience combines advanced machine learning with human-in-the-loop functionality to intelligently read and understand a wide range of documents — from handwritten forms and invoices to claims reports and identity records. The result is a streamlined, accurate data pipeline that reduces operational costs, boosts compliance, and accelerates time to value.
Trusted by major enterprises and public sector organizations, Hyperscience enables teams to unlock valuable data trapped in documents, power downstream processes, and improve overall productivity with AI-driven automation.
Features
1. Intelligent Document Classification
Hyperscience uses AI to automatically recognize and categorize document types, even when layouts or formats vary. This includes contracts, forms, PDFs, faxes, and images — enabling automation of complex ingestion pipelines.
2. High-Accuracy Data Extraction
The platform excels at extracting structured and semi-structured data from unstructured inputs, including printed text, handwriting, checkboxes, and tables. Its deep learning models continually improve based on feedback.
3. Human-in-the-Loop Validation
When confidence in data accuracy is low, Hyperscience flags the item for human review. This hybrid approach ensures accuracy while maintaining efficiency and continuous model improvement.
4. End-to-End Workflow Automation
Hyperscience orchestrates full document processing workflows, including document intake, data extraction, validation, enrichment, and routing to downstream systems like CRMs, databases, or case management platforms.
5. API-First Architecture
Developers can integrate Hyperscience into enterprise ecosystems using a robust set of APIs. The platform is designed to work alongside existing applications, ERPs, and RPA systems.
6. Model Customization and Retraining
Users can customize models for domain-specific language, field layouts, and document types. The platform supports continuous learning to improve outcomes based on business needs.
7. Handwriting Recognition
Hyperscience offers industry-leading handwriting recognition, enabling accurate data extraction from handwritten forms and legacy documents.
8. Secure and Compliant
The platform meets enterprise-grade security standards and supports deployments in on-premises, hybrid, or private cloud environments. It also offers SOC 2 compliance and audit trail functionality.
9. Visual UI for Non-Technical Users
A user-friendly interface allows non-developers to manage workflows, review data, validate outputs, and train models without writing code.
10. Language and Regional Support
Supports multiple languages and region-specific formats, making it suitable for global enterprises.
How It Works
Hyperscience transforms how organizations handle document-based information. The process is fully automated but remains flexible and human-verified when needed:
Document Ingestion
Documents are uploaded via API, UI, or ingestion pipelines. They can be PDFs, scans, images, or digital documents.Classification and Preprocessing
The system detects the document type and prepares it for analysis. This includes de-skewing, noise reduction, and layout parsing.AI-Powered Data Extraction
Using deep learning models, Hyperscience reads the document, extracts relevant fields, and structures the data according to predefined schemas.Validation and Confidence Scoring
Each extracted data point is assigned a confidence score. If confidence is low or if business rules dictate, the platform routes the data to a human reviewer.Human Review and Learning
Human validators correct errors or confirm data, and the model learns from this feedback — improving accuracy over time.Data Output and Integration
The final validated data is exported to downstream systems via API or file export formats like JSON, XML, or CSV. It can feed into business systems such as CRM, ERP, or analytics platforms.
Use Cases
Government Forms Processing
Automate processing of tax forms, benefit applications, voter registrations, and public records with high accuracy, including handwriting support.
Insurance Claims and Underwriting
Streamline intake and validation of claims forms, policy documents, and supporting evidence to reduce processing time and human error.
Banking and Lending Operations
Automate KYC, loan applications, and regulatory compliance document reviews by extracting critical identity and financial data accurately.
Healthcare and Medical Records
Extract structured data from medical forms, prescriptions, and handwritten notes, enabling better data entry into EHR systems and reducing administrative burden.
Legal and Compliance Document Review
Identify, classify, and extract key clauses and data points from legal contracts and compliance documents — accelerating due diligence and risk assessment.
Mailroom Digitization
Transform inbound mail — scanned letters, forms, and faxes — into actionable digital data that can be routed and processed automatically.
Pricing
Hyperscience does not publish detailed pricing plans on its public website. However, based on enterprise software practices, the pricing likely depends on the following factors:
Volume of documents processed monthly
Number of workflows or document types
Deployment model (cloud, hybrid, or on-premise)
Support level and professional services
Integration requirements with existing systems
Organizations can request a demo or speak to sales via the website to receive a custom quote based on their document automation needs.
Strengths
Industry-leading document classification and handwriting recognition
Designed for complex, variable, and legacy document types
Human-in-the-loop feedback loop ensures ongoing improvement
Flexible deployment across cloud and on-premises environments
Secure, compliant, and built for enterprise scale
Integrates with existing business systems and RPA tools
Empowers both technical and non-technical users
Drawbacks
No public pricing information or free trial offering
Enterprise-level solution may be out of reach for small businesses
Requires configuration and integration effort for first-time users
Limited public-facing user reviews or testimonials on third-party sites
Comparison with Other Tools
Hyperscience vs. UiPath Document Understanding
UiPath is broader in automation scope but requires more customization and may rely on third-party OCR engines. Hyperscience offers end-to-end AI-native document automation with built-in handwriting and layout intelligence.
Hyperscience vs. Kofax
Kofax is a legacy document capture tool. Hyperscience provides more modern, deep learning-based document understanding and dynamic learning.
Hyperscience vs. Amazon Textract or Google Document AI
These cloud-native tools offer APIs for document parsing but lack the enterprise workflow orchestration, human review loop, and deep integration capabilities that Hyperscience provides.
Customer Reviews and Testimonials
While detailed customer reviews are not listed directly on the Hyperscience website, the company claims usage by top-tier financial institutions, federal government agencies, insurance firms, and healthcare providers.
Case studies published by the company highlight:
70%+ reduction in manual document review
99%+ data accuracy in extraction
Significant cost savings through automation
Faster deployment cycles for document workflows
Customers reportedly value the platform’s ability to handle variable and handwritten documents, its integration support, and its flexibility in managing both digital and scanned inputs.
Conclusion
Hyperscience is a leading intelligent document processing solution that brings AI automation to the heart of enterprise operations. Whether you’re processing insurance claims, verifying government forms, or automating data entry in financial services, Hyperscience offers a powerful way to reduce costs, increase accuracy, and improve operational speed.
With its combination of deep learning, human-in-the-loop validation, and enterprise-grade integration, Hyperscience enables organizations to transform document-heavy processes into streamlined, data-driven workflows.
