

Find out in this report how the two Robotic Process Automation (RPA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.


| Company Size | Count |
|---|---|
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
HyperScience is a cloud-based input-to-output platform that automates document-based workflows and extracts data for analysis from both physical and digital documents.
The HyperScience platform simply integrates with your current business systems thanks to an open API, an intuitive UI, and pre-trained models, resulting in a totally automated digital workflow.
The classic scanning paradigm has been reimagined by HyperScience; it has replaced the need for human verification with intelligent technology that learns as it goes. The solution automates previously manual operations using a simple model-based solution or from the ground up, saving time and resources that can be redirected to more strategic efforts. The platform has a minimum accuracy of 75% when it is first installed, but it can exceed 99% accuracy in a matter of weeks.
With out-of-the-box and customizable tasks, workflows, and connectors, the solution automatically connects into your document workflows. HyperScience, which is powered by industry-leading machine learning, makes it simple to get from input to actionable data.
HyperScience Benefits
There are many benefits to implementing HyperScience. Some of the biggest advantages the solution offers include:
HyperScience Features
HyperScience has many valuable key features. Some of the most useful ones include:
Reviews from Real Users
HyperScience stands out among its competitors for a number of reasons. Two major ones are its robust user-training module and its accuracy with handwritten documents. PeerSpot users take note of the advantages of these features in their reviews:
One PeerSpot reviewer, a Lead Analyst at a financial services firm, writes, “One of the most valuable features of HyperScience is the user-training module. Whenever the extraction takes place, based on the way we have trained HyperScience, it would give us some success status or a certain confidence level. If the solution has processed something that it determined was not extracted correctly it will queue those items for manual review.”
Yogesh S., OCR Developer at a tech vendor, notes of the solution, “I like that compared to other tools, HyperScience works best with handwritten documents.” He adds, “We're automating invoices and some handwritten filled-out documents. We can automate with accuracy, and even though we used HyperScience initially for selling purposes and as a comparison tool, we're now getting these results with HyperScience.”
Inflectra Rapise is a robust software testing tool designed to automate testing for desktop, mobile, and web applications. It offers flexibility for testing scenarios and supports both functional and regression testing, suited for end-to-end test management needs.
Inflectra Rapise integrates seamlessly with existing technologies, providing a comprehensive environment for test automation. With its scriptless test automation approach, users can rapidly create tests without needing deep programming skills. This empowers teams to improve productivity and efficiency. Rapise's user-friendly interface and its ability to handle complex testing scenarios make it a preferred choice among testing professionals.
What are the critical features of Inflectra Rapise?Inflectra Rapise is implemented across numerous industries, including finance, healthcare, and retail, where precise and efficient software testing is crucial. Its adaptability means it can meet diverse testing requirements, making it indispensable for projects demanding rigorous QA processes.
We monitor all Robotic Process Automation (RPA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.