Sold by: Hyperscience
Deployed on AWS
The Most Trusted AI Infrastructure for Mission-Critical Document Intelligence
4.6
Overview
Hyperscience Hypercell is the software infrastructure for high-throughput document processing and intelligence. Built for highly regulated sectors and mission-critical processes, Hypercell enables deterministic automation across proprietary ML, customer-tuned document models, and the best frontier models available in Amazon Bedrock.
Trusted across the US government and the Fortune 500, the Hyperscience Hypercell delivers unprecedented document AI results to customers such as the Veterans Affairs, Social Security Administration, Charles Schwab, and MetLife.
Core Product Capabilities
- Production-Grade Python Runtime: Pre-built and optimized for all document processing tasks to ensure fast go-live
- Zero-Shot Blueprints: Accelerated time-to-value for common documents types (forms with handwriting, paystubs, bank statements, invoices, etc)
- Comprehensive Document AI: Built-in classification, extraction, transcription, and complex table handling, with native interfaces for human-in-the-loop & QA
- Massively Parallel Processing: Engineered from the ground up for high-throughput, low-latency performance at scale
- Model-Agnostic Architecture: Seamlessly incorporates any model type or custom third-party integrations into a single pipeline
- Intelligent Cost Orchestration: Agentic system automatically finds the optimal model mix (CPU vs. GPU) for the highest performance at the lowest operational cost
- Language-Agnostic Code Blocks: Open architecture allows for unlimited workflow extension and customization
- Centralized, Versioned Pipelines: Provides replicable development, easy rollbacks, and complete pipeline auditability
- Full Telemetry & Observability: Granular tracking and logging on every single input, output, and automated decision
Hypercell for GenAI Many generative AI projects fail because of bad data input. Hypercell acts as the trusted data engine for your AWS GenAI initiatives, enabling:
- RAG & LLM Readiness: Convert complex, unstructured document layouts into clean tokens, vectorizations, and embeddings
- Privacy-Safe Training: Automatically generate masked or synthetic data to safely train and fine-tune models without exposing PII
Highlights
- Named a Leader in the 2025 Gartner Magic Quadrant for Intelligent Document Processing & 2026 Forrester Wave for Document Mining & Analytics. Proven in mission-critical environments at massive scale. Trusted by the US Government for citizen and veteran benefits and large financial services for underwriting, claims, and account operations.
- Composes across context, logic, calculations, 3rd party validations, proprietary ML models and VLMs / LLMs for deterministic, trustworthy outputs
- Repeatable, production-ready pipelines with built-in retry, concurrency, versioning, state management, error handling, and observability
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
HS Private Cloud Professional | Hyperscience Platform | $50,000.00 |
Vendor refund policy
Please contact AR@hyperscience.com for more information
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please visit our Support & Services page to find links to our Hyperscience documentation, API Documentation, Flows SDK Documentation and to submit a case to our Customer Support team.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By SS&C Blue Prism
Top
10
In Text/OCR
Top
10
In Handwriting Recognition
Top
10
In Data Labeling Services, Data Preparation, ML Solutions
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Machine Learning-Based Data Extraction
Leverages machine learning algorithms to intelligently extract data from diverse document formats including handwritten forms, PDFs, and low-resolution images with 99% accuracy rates.
Proprietary Model-Based Architecture
Built on a proprietary model-based architecture that reads and understands all forms of content, delivering industry-leading automation rates of 98.5% across enterprise-scale document processing.
Data Validation and Enrichment
Provides data validation and enrichment capabilities to ensure accuracy of extracted information and reduce downstream workflow steps.
Pre-Built and Customizable Workflows
Offers out-of-the-box and customizable tasks, workflows, and connectors that integrate with internal or external systems and applications.
LLM Integration with Governance
Harnesses the power of large language models with built-in auditability, governance, and security controls while processing private enterprise data for generative AI applications.
Handwritten and Printed Text Recognition
Achieves 98% accuracy in extracting printed and handwritten text, numbers, and checkboxes from low-quality faxed and scanned documents using machine learning trained on over 1 billion documents from finance, insurance, and healthcare industries.
Document Classification and Matching
Automatically classifies and identifies pages by matching them to user-defined form templates using image recognition algorithms, capable of handling degraded documents including those with stains, incorrect orientation, and poor quality scans.
Signature and Barcode Detection
Detects signatures, QR codes, barcodes, and performs address validation with specialized readers available for advanced use cases.
Template-Based Form Field Extraction
Uses blank forms as templates to locate and extract individual form fields for digitization without requiring coding or machine learning expertise through a web-based developer interface.
Data Transformation and Human-in-the-Loop Review
Applies data transformations to ensure output consistency and readiness for RPA ingestion, with optional human-in-the-loop review interface for data validation and business logic application, integrated via API or Blue Prism connector.
Human-in-the-Loop Annotation Workflows
Supports human validation workflows with task management, custom review and approval workflows, versioning, and full audit trails for regulatory-grade accuracy requirements.
Multi-Modal Data Annotation
Enables annotation support for text, image, audio, video, and HTML formats with text annotation capabilities in 250+ languages.
AI-Assisted Pre-annotation
Provides AI-assisted annotation using Large Language Models, Zero-Shot prompting, and pre-trained models for entity recognition, relation extraction, and classification tasks.
Model Training and Active Learning
Supports training of Classification, NER, and Assertion Status models with automatic Active Learning that trains new model versions once new annotations become available.
Enterprise Security and Access Control
Includes role-based access control, single sign-on (SSO), identity provider integrations, multi-factor authentication (MFA), full audit trails, and support for air-gap environments with zero data sharing.
Standard contract
No
No
Customer reviews
Nitin C.
Hyperscience, an AI-powered platform specialising in intelligent Document processing (IDP)
Reviewed on Jul 29, 2024
Review provided by G2
What do you like best about the product?
Hyperscience can handle a vast array of IT documents, such as invoices, contracts , purchase orders , and IT support tickets. The automation frees up IT staff to focus on higher - value tasks.
What do you dislike about the product?
The development of the template appears to be ineffective. It is also possible to enhance .
What problems is the product solving and how is that benefiting you?
By extracting data from incident reports, Hyperscience can help IT teams identify patterns , prioritize incidents , and implement preventive measures. Hyperscience can help IT teams manage compliance - related documents, such as audits and certifications , by extracting relevant information and identifying potential risks .
Malavika B.
Transforming Document processing with intelligent Automation
Reviewed on Jul 29, 2024
Review provided by G2
What do you like best about the product?
This tool is amazing i really apreciate the platform, it helped alot in making our tasks easier. This tool is very impressive at automatting extraction in case of structured documents, setting up new document types ad defining the imported data fields is inceredibly easy and intuitive. So far i am impresed with how well it handles document classification.Training the system to categorize docments accurately is a plus point.
What do you dislike about the product?
So far i did not faced any issue with this tool, our team did great with this tool and we are happy but the only ting is this tool maybe not so good with unstructured data formats overall this tool is awesome!
What problems is the product solving and how is that benefiting you?
Their OCR capablitie is top notch, accurately extrating data from variety of document types. Additionally, the document classification feature has streamlined our workflows.
By automating these tasks our operation team have experienced a reduction in manual tasks which lead us to increased efficiency and improved data accuracy across the board and customer support of hyperscience did well.
By automating these tasks our operation team have experienced a reduction in manual tasks which lead us to increased efficiency and improved data accuracy across the board and customer support of hyperscience did well.
Pramod K.
Review on Hyperscience
Reviewed on Jul 29, 2024
Review provided by G2
What do you like best about the product?
Hyperscience is very easy and really user friendly tool for our team. Its ability to evaluate biological data enables us to identify possible drug candidates more efficiently and great decreasing the time and expense associated with bringiing new medications to the market. Hyperscience is machine learning algorithms optimize numerous parts of clinical trials, such as trials, such as trial design, patient selection, and monitoring, expediting the entire process. This tool has proven quite useful for our work. Customer service is also best.
What do you dislike about the product?
We are presently using an older version that may struggle with some characters. However, we are looking forward to upgrading to the new version, which promises increased accuracy.
What problems is the product solving and how is that benefiting you?
I used number of software but Hyperscience can easily process big documents and extract data in a short period of time. Without Hyperscience I utilized various tools that took a long time to process. With this tool, I believe I have conquered this challenge by reaching great accuracy with no errors. The main advantage is that it produces more accurate and exact results after processing any document.
Joseph M.
Hyperscience - Automate your document process.
Reviewed on Jul 27, 2024
Review provided by G2
What do you like best about the product?
Our team uses hyperscience to forecast future product demand by analysing past data and market patterns this facilities our company inventory alignment. Additionally this solution automates the monitoring process, which lowers significant errors and delays. this tools security features enable it to spot odd trends in transactions and alert users to potential fraud
What do you dislike about the product?
Untill we started to use this toll we have not face any problem yet. We had nothing to dislike in this tool.
What problems is the product solving and how is that benefiting you?
Data can be effectively extracted by hyperscience from a verity of document including shipping bills, invoices, customs declarations, and more. this frees up human operators from repetive work so they can concentrate on data analysis, trens recognition, and producing in-depth, intelligent reviews.
David S.
Automate Repetitive Tasks With Hyperscience
Reviewed on Jul 27, 2024
Review provided by G2
What do you like best about the product?
This software is incredibly versatile but handing a wide range of invoice styles and layouts. It efficiently extracts data from every page of a document, and can adapt to diffirent invoice templates. This means faster invoice processing, winder use and significant time saving.
What do you dislike about the product?
This product is quite expensive. You can find similar items that might not be as effective but come at a much lower price.
What problems is the product solving and how is that benefiting you?
The training has successfully equipped us to implement a satisfactory level of automation. We are now able to create automated processes that sighificantly reduce manual effort on tasks that are not cost effective.