Sold by: HyperscienceÂ
The Hyperscience IDP Solution intelligently plugs into your document processes with out-of-the-box and customizable tasks, workflows, and connectors. Powered by industry-leading Machine Learning, the Hyperscience Platform easily takes you from input to actionable data. Leverage Machine Learning-based extraction to intelligently automate complex document processes from input to actionable data. With data validation and enrichment capabilities, you can be confident that the information you're acting on is correct, ultimately reducing the number of steps in your downstream workflows. We deliver the right balance of ease of use and state-of-the-art, advanced technology to automate repetitive work and align employees and organizations around what matters most - your customer. Unlock data to drive new insights and greater customer experience with more than 5x greater speed, 67 percent lower error rates, and 90 percent cost reduction.
Overview
Hyperscience is a market leader in hyperautomation and an enterprise AI infrastructure software provider. The company is on a mission to provide organizations with accurate, machine-readable data to drive end-to-end processes and the next frontier of generative AI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and new generative AI experiences, revenue, positive and engaging customer, citizen, and patient experiences, and dramatic productivity increases.
The Hyperscience Hypercell is a turnkey AI platform that applies the power of AI and ML to all the documents and information assets that flow through an organization. Built on a proprietary model-based architecture, the Hypercell reads and understands all forms of content fluently, delivering industry-leading accuracy rates of 99% and automation rates of 98.5%. The Hypercell can scale across the enterprise and harness the power of LLMs with auditability, governance, and security at the core, using organizations' private enterprise data.
The Hyperscience Hypercell provides several benefits to customers. The Hypercell provides automatically labeled enterprise data, enabling your organization to safely and accurately build GenAI applications based on your specific, proprietary data. Given 80% of an organization's data comes in the form of non-machine readable formats, the Hypercell provides significant value to organizations seeking to train models on their own data and create more powerful GenAI applications, like Vector Search.
Hyperscience works closely with our customers to best understand their business requirements, the content to be processed, and the end-to-end business process to provide the best possible solution and price. Pricing starts at $50,000 for the on-premises Essentials package.
Custom pricing packages are available through an AWS Marketplace Private Offer. By clicking 'Continue to Subscribe,' you accept the Hyperscience MSA/EULA. Access to your SaaS environment will be provided once our SOW is executed and when we begin our implementation service. Please contact us for more information: https://hyperscience.com/contact/?utm_source=marketing&utm_medium=marketplace=&utm_campaign=global-2022-Amazon-AWS-marketplaceÂ
Highlights
- 99% accuracy for automated business processes. Save time and errors by verifying extracted, machine-readable data from diverse documents - including handwritten forms, PDFs, and low-resolution images.
- Easy integration with internal or external systems and applications. Streamline the complexity of your document processing workflows and drive a greater ROI with up to 90% cost reductions.
- Up to 90% cost reduction and up to 67% less errors. Automate your data entry to decrease the cost of manual entry and free your employees to focus on delivering excellent customer service.
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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
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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.
Support
Vendor support
Our Customer Success teams are passionately dedicated to the success of our customers. To this end, we offer a powerful combination of customer service and support expertise, along with deep knowledge of industries, use cases and processes. https://hyperscience.com/customer-experience/support/Â Email: support@hyperscience.comÂ
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
AI generated from product descriptions
Machine Learning Extraction
Advanced machine learning-based document processing with 99% accuracy for extracting data from diverse document types
AI Infrastructure
Proprietary model-based architecture capable of reading and understanding multiple content formats with 98.5% automation rates
Enterprise Data Processing
Capability to transform non-machine readable data formats into structured, machine-readable information across organizational workflows
Content Understanding
Advanced AI system that can process complex documents including handwritten forms, PDFs, and low-resolution images
Generative AI Enablement
Platform designed to support generative AI applications by providing automatically labeled enterprise data for model training
Optical Character Recognition
Advanced machine learning engine capable of extracting printed and handwritten text with 98% accuracy
Document Classification
Image recognition algorithms for identifying and sorting structured forms from various input sources
Form Template Processing
Automated template-based document field extraction without requiring coding or machine learning training
Data Transformation
Capability to apply data transformations for consistent output preparation and RPA integration
Multi-Format Recognition
Advanced detection of complex document elements including signatures, QR codes, barcodes, and checkboxes
Model Training and Tuning
Supports training of classification, NER, and assertion status models with ability to tune parameters and use active learning for model version updates
Multi-Modal Annotation Support
Provides annotation capabilities for text, image, audio, video, and HTML across 250+ languages with AI-assisted pre-annotation techniques
Enterprise Security Architecture
Includes role-based access control, full audit trails, SSO integration, multi-factor authentication, and support for air-gap environments
Large Language Model Integration
Offers out-of-the-box support for large language model prompting, zero-shot prompting, and pre-trained model utilization from NLP Models Hub
Kubernetes-Powered Scalability
Built on auto-scaling Kubernetes architecture enabling deployment across multiple teams and projects with GPU performance optimization
Standard contract
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Customer reviews
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21 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
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 .
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.
Ranjan K.
The Art of Automated Insight: Hyperscience
Reviewed on Jun 25, 2024
Review provided by G2
What do you like best about the product?
Handling the documents for extraction processing reduces the workload of manual intervention, increasing efficiency and accuracy rates by up to 75%. This process is supported by various techniques such as AI, NLP, and machine learning, which help handle error exceptions and improve overall capabilities.
The OCR with hypersciences is integrated with downstream systems to extract data using its many features and trained models. It is widely implemented and easily used in banking, financial services, and medical sectors.
The OCR with hypersciences is integrated with downstream systems to extract data using its many features and trained models. It is widely implemented and easily used in banking, financial services, and medical sectors.
What do you dislike about the product?
Hyperscience is beneficial, but there may be integration challenges due to poorly structured organizational infrastructure.
What problems is the product solving and how is that benefiting you?
The biggest business challenge is solving how the AI-powered IDP solution can provide many agencies with a path to modernization and increased scalability by up to 65-70%. This is beneficial because it saves time and frees up employees to focus on critical tasks, leading to an increase in organizational revenue and productivity by up to 80% through the automation of manual tasks.
Sameer S.
Hyperscience extracts text with accuracy and classifies documents like a champ
Reviewed on Jun 18, 2024
Review provided by G2
What do you like best about the product?
Using OCR, this tool excels at extracting data from structured documents,onboarding new documents and defining the fields we need is cool. Impressive accuracy!!
It even shines in document classification. hyperscience is amazing for data extraction.It proves itself a valuable tool.
It even shines in document classification. hyperscience is amazing for data extraction.It proves itself a valuable tool.
What do you dislike about the product?
We are currently using older version, and it can struggle with certain characters.However we are excited to be upgrading to new version with improved accuracy.
What problems is the product solving and how is that benefiting you?
It tackles two big challenges for us OCR automation and smart classification.
Hyperscience handles work of extracting text from documents using OCR now our team can focus on other work which saved our time.
In some cases, this tool can even automatically categorize documents, making it easier for our team to find the information we need quickly.
Hyperscience handles work of extracting text from documents using OCR now our team can focus on other work which saved our time.
In some cases, this tool can even automatically categorize documents, making it easier for our team to find the information we need quickly.
Azam K.
Real-time production optimization
Reviewed on Jun 15, 2024
Review provided by G2
What do you like best about the product?
The automation and accuracy it offers for structured documents is quite impressive, onboarding new documents and defining OCR fields is straightforward and user friendly.Document classification is handled great and training the classification models is simple.
What do you dislike about the product?
I am giving 9 out 10 becasue we faced some difficulties for semi structured documents its really time consuming and accuracy is also less in semi structured documents apart from this, this tool is great.
What problems is the product solving and how is that benefiting you?
Hyperscience did great for our document OCR and classification processes and helped our operationals teams to save a good amount of manual effort.This tool boosted efficiency and accuracy across our workflows.