We performed a comparison between HyperScience and NICE Robotic Automation based on real PeerSpot user reviews.
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."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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"We have seen pretty good accuracy."
"It provides the best accuracy for handwritten forms, which is a struggle in the industry. You can take processes with a lot of manual work and streamline them through this tool."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"Through interfaces called Callout (created with HTML code) it is possible to create a strong interactivity with the user. These interfaces can be extremely dynamic in relation to the behavior of a local or remote robotic flow."
"The deployment of NICE Robotic Automation is easy."
"Provides good automation features."
"It is easy to deploy. To do the automation in NICE, you really need to use your programming expertise. There are no inbuilt features in it, and you have to create all the required features, which can be very interesting for a programmer."
"What we've done with the RTI client is that we've brought it into a bit more of a 21st-century feel. Our agents have the ability to move around when they want, click into stuff. They use it according to how their conversations go with the customer."
"NICE is one of the only vendors that does attended and unattended out-of-the-box. Using the unattended processes we've been able to build a "feature library." We break each process down into workable chunks that we can save into a big library. The next time we come to automate a task, we already have chunks of that automation built."
"It is a kind of desktop automation. Its licensing model is a little bit different. It tends to be individual automation specific to a role. It excels at that."
"HyperScience has less capability while working on unstructured forms. Unstructured forms are those where there is no standard structure and the information can be anywhere on the form. They need to develop this capability."
"HyperScience could improve the unstructured data extraction feature."
"Extracting tables from certain documents could be improved."
"The product's usability could be better. The first pain point is that we're getting the output in a different format, and we were expecting a different timetable. The second point is that if you want better results, HyperScience says you have to configure a minimal PDF or a maximum of 400 PDFs. If you want results with 400 PDFs for what's written by these doctors, then you also configure the maximum of 400 templates for that. So, it's essentially a lack of support from HyperScience. In the next release, it would be better if failure scenarios were reduced. It would also help if they offered different formats, inputs or injections, and added different scenarios."
"They could work on the price and make it a bit more reasonable."
"No solution is perfect and there are several different scenarios that could be improved in HyperScience. One area is where there are multiple tables in the same form I have seen HyperScience struggle. There is some issue with supporting the extraction from multiple tables involved on the same form. If this could improve, it would be a big benefit."
"The solution lacks support for a greater range of languages."
"There is a need for NICE robotics to be more user-friendly."
"The solution is not as intuitive as it could be and integrating took a lot of time."
"Its connectivity with other applications should be improved. In the version that I was using, it would just stop interacting with the other application. Its graphical interface should also be improved. It should have a user-friendly interface. Sometimes, people find it very difficult to understand. One of the obstacles that I faced while programming was that if I needed any kind of help, there wasn't much content on the internet. It can be very difficult to find a solution for a particular issue."
"We haven't found it to be as powerful as some of the other platforms. From a true RPA perspective, it is pretty far behind some of the other solutions. It has emerged as a more desktop automation kind of tool, but it lacks a lot of enterprise features. It is not really a true RPA because of its licensing, which is kind of user-initiated. It would be nice it can be deployed at a more enterprise licensing model versus a user-based model. It didn't have autonomous automation so far, and they have just released this feature. They have kind of hodgepodged a bunch of products together to get there, but it is not as seamless as other solutions."
"There are a few areas for improvement in the installation phase"
"[During the upgrade] any issues, where it couldn't remotely connect to upgrade, I needed the floor plan so I could go to that PC and have a look at it. Often it was either that the PC was switched off or had a bug or some other application needed to be reset."
"The one thing I'd like to see, and NICE is already heavily investing in it, is improvement in the user interface itself. They call it the Designer and it's what the developers use. It is a bit clunky; that is the polite way to put it. I'd like to see it be a bit more user-friendly, a bit more intuitive, and to move to something a bit more web-based..."
HyperScience is ranked 5th in Intelligent Document Processing (IDP) with 7 reviews while NICE Robotic Automation is ranked 22nd in Robotic Process Automation (RPA) with 7 reviews. HyperScience is rated 7.6, while NICE Robotic Automation is rated 7.6. The top reviewer of HyperScience writes "It has a lot of functionality, whatever we use, but a few things could be improved". On the other hand, the top reviewer of NICE Robotic Automation writes "Automating customer-facing processes has saved us considerable money and increased sales and customer satisfaction". HyperScience is most compared with ABBYY Vantage, UiPath, Instabase, Microsoft Power Automate and Tungsten RPA, whereas NICE Robotic Automation is most compared with UiPath, Blue Prism, Automation Anywhere (AA) and Microsoft Power Automate. See our HyperScience vs. NICE Robotic Automation report.
See our list of best Robotic Process Automation (RPA) vendors.
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