Hyperscience
Automate complex workflows with precise, customizable AI-driven solutions.
Key Takeaways
- What it is
- Automate complex workflows with precise, customizable AI-driven solutions.
- Best for
- High Accuracy Levels
- Hyperautomation Capabilities
- User-Friendly Interface
- Rating
- 4.6/5
What is Hyperscience?
Hyperscience is an advanced enterprise AI platform designed to transform business process automation through sophisticated machine learning and AI technologies. Specializing in intelligent document processing and hyperautomation, Hyperscience helps organizations streamline operations, enhance accuracy, and boost productivity. The platform is tailored for industries seeking to modernize workflows and achieve significant growth through automation.
Hyperscience stands out due to its exceptional accuracy rates and comprehensive hyperautomation capabilities. Its ability to train custom AI models using proprietary data ensures high efficiency and adaptability, making it a leader in intelligent document processing.
Hyperscience excels in delivering high-accuracy document processing and hyperautomation solutions, significantly improving operational efficiency and data management. With its strong customization and integration capabilities, it is a valuable tool for enterprises aiming to streamline workflows and embrace digital transformation. The platform’s robust support and extensive partner ecosystem further enhance its value for modern businesses.
Who is Using Hyperscience?
Financial Services
Banks and insurance companies for faster document processing and compliance improvements.
Healthcare Providers
Automates patient records management and claims processing.
Government Agencies
Enhances public service delivery through efficient document and data management.
Retail Businesses
Streamlines supply chain and inventory management with automated data processing.
Uncommon Use Cases
Non-profits optimizing donor management and communications; educational institutions managing student applications and records.
Key Features
Rating Breakdown
Pricing Plans
Free Trial
- Available with a 30-day free trial
Enterprise Plan
- Custom pricing based on specific business needs and data processing volume
Which Hyperscience plan should you pick?
Start with Essentials for a basic licensed deployment, upgrade to Advanced for additional capabilities, and use Premium when your organization needs the full Hypercell feature set.
Essentials
Good for organizations needing a licensed Hyperscience deployment with the capabilities included in the Essentials package.
Advanced
Good for organizations that need more capabilities than Essentials but do not require the full Premium package.
Premium
Good for organizations that need access to all available features in the Premium package.
Hyperscience Use Cases
Document intake and extraction
Submit document files, classify pages, and extract fields into machine-readable output.
Outcome: Structured data for downstream processing.
Insurance claims processing
Automate document-heavy claims workflows with classification, extraction, and human review.
Outcome: Faster claims operations.
Financial-services onboarding
Classify commercial-card or financial document packets and identify pages such as balance sheets and income statements.
Outcome: Reduced manual processing effort.
Model training and improvement
Upload representative documents, configure layouts, evaluate extracted data, and use QA feedback to improve models.
Outcome: Higher document-processing automation.
Downstream system integration
Send extracted data and processing notifications to queues, web services, UiPath, Box, Salesforce, or other connected systems.
Outcome: Automated handoff to enterprise applications.
Workflow Ideas with Hyperscience
Automated document intake
- 1Receive files through an email inbox, folder, or message queue
- 2Classify pages and extract fields through a Hyperscience flow
- 3Send status notifications and extracted output to a downstream system
Train and improve a document model
- 1Upload representative blank and completed documents
- 2Configure layouts and submit filled documents for evaluation
- 3Review QA results and use feedback to improve model performance
API-based enterprise processing
- 1Authenticate an API user with an API token
- 2POST files to the submissions endpoint
- 3Retrieve documents, fields, tables, reports, and JSON output
How Hyperscience fits into your stack
Enterprise Systems Integration
Integrates easily with major ERP and CRM platforms.
API Access
Provides a robust API for custom integrations.
Cloud Compatibility
Compatible with major cloud services like AWS, Azure, and Google Cloud.
Partner Ecosystem
Features an extensive network of technology and service partners for enhanced functionality and support.
Pros
- +Enhanced Productivity: Reduces manual data entry and processing times, improving overall efficiency.
- +Cost Savings: Lowers operational costs by automating routine tasks and reallocating resources to more strategic activities.
- +Scalability: Adapts easily to growing business needs and increasing data volumes.
- +Improved Data Management: Boosts data accuracy and accessibility, supporting better decision-making.
Cons
- −Initial Setup Complexity: May require technical expertise for optimal integration and configuration.
- −Higher Cost for Advanced Features: Advanced functionalities and customizations can be costly.
- −Dependence on Data Quality: The performance of AI models is highly dependent on the quality of the input data.
Limitations & when to consider alternatives
Known limitations
- License-based access. Hyperscience instances require a license key, and available features depend on the license package.
- Editable PDFs are not supported. PDF submissions are supported, but editable PDFs are specifically excluded.
- Password-protected ZIP files are unsupported. Password-protected ZIP files or encrypted images produce an error during processing.
- Long-form extraction language limitation. Long-form Extraction is tested only with English text and may not perform well with other languages.
- Document Renderer page-size limit. The Document Renderer Block has a maximum page size of 600mm by 600mm.
Look elsewhere when
- You need a free self-serve plan.
- You need a native mobile application.
- You need a downloadable desktop installer.
- You need general-purpose code generation.
How to Use Hyperscience
- 1
Access a range of tutorials, webinars, and documentation on the Hyperscience website to help users get started and make the most of the platform’s capabilities.
Who is Hyperscience For?
System administrators
Manage system settings, users, permissions, authentication, connections, and application health.
Business administrators
Manage layouts, submissions, and business-oriented document-processing operations.
Data keyers
Complete manual supervision tasks and process outstanding document queues.
Knowledge workers
View submissions and complete tasks associated with document-processing cases.
API users and trainers
Use API permissions for programmatic access or trainer-specific endpoints.
Frequently Asked Questions
What types of files does Hyperscience accept?
Supported types include JPEG, PNG, TIFF, HEIC, HTML, PDF, ZIP, XPS, MSG, and EML. Editable PDFs and password-protected ZIP files have limitations.
Does Hyperscience provide an API?
Yes. The REST API supports submitting and retrieving files and cases, retrieving document data, and generating reports.
Does Hyperscience support single sign-on?
Yes. Hyperscience supports SAML, OpenID Connect, and LDAP-based external authentication.
Can Hyperscience connect to other systems?
Yes. Document input and output connections support options such as email, folders, message queues, web services, UiPath, Box, and Salesforce.
Can users train models with their own documents?
Yes. Users can upload blank forms, completed documents, and training data, then evaluate and improve model performance.
What deployment models are available?
Hyperscience supports SaaS, on-premise, and private-cloud deployments.
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