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HyperScience vs IQ Bot [EOL] comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Nov 23, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automation Anywhere
Sponsored
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
637
Ranking in other categories
Business Process Management (BPM) (2nd), Robotic Process Automation (RPA) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (1st), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
HyperScience
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
Intelligent Document Processing (IDP) (9th)
IQ Bot [EOL]
Average Rating
7.6
Reviews Sentiment
7.6
Number of Reviews
51
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Satender Sajwan - PeerSpot reviewer
Operations Manager at Genpact
Gave a better output every time, reduced our touch time by 80%, and had a robust reporting mechanism to improve the process
We tested HyperScience on structured formats of the forms, and it worked really well. We tested it with semi-structured formats, and it worked well. We also tested creating a new form that does not have any format. 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. Such a capability would make it a perfect system for processes like data entry, accounts tables, etc. Secondly, before putting the actual volume in the tool, I believe that we have to create a manual form every time. If the procedure of creating the forms can be shortened or automated, it would help. It would reduce the manual effort of creating a form every time you start working on it. There should be an automated form creation system that does not require any manual intervention. Whenever a new form comes, the system should be able to create a dummy form for that. That will help.
RP
Director of Global Automation at a tech services company with 10,001+ employees
Valuable connectivity and coherent solutions simplify maintenance but require cost adjustments for industry-based needs
There are areas of improvement, especially in having industry-based solutions that we could easily tap on. It would help reduce the time spent on feeding information and creating outputs. More flexibility and specific models for specific purposes would be beneficial. Additionally, pricing is a concern as IQ Bot is considered costly.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We have an automation that we just put in production where we are doing a double-blind quality review, and the bot is comparing the two entries and kicking out a large number of exceptions for human review, so we have saved a large number of hours every day by not having humans look at things that match."
"One thing I really like is the the recorder where you can connect with multiple systems. The OCR is also good."
"This RPA software has good scalability and stability, is easy to understand and easy to use, even for users who have no experience with automation software."
"Based on my experience, I have found Automation Anywhere to be more stable and accessible."
"The tool is very easy to use and mostly user-friendly. I like that when using it I don't need much expertise."
"This solution has been great for our company in almost every way possible."
"It has improved the reliability of our monthly billing processes that, in the past, was dependent on manual, nine-to-five types of activities, and we can now schedule those activities, process 24 hours a day, and then we review exceptions."
"Automation Anywhere, specifically A2019, has helped us in automating a major chunk of such tasks, thus helped in saving a lot of time, effort, and revenue."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"For our use case, it provided a complete workflow, reduced our existing touch time by 80%, and from the point of view of technology, it is one of the leading platforms right now in the OCR world."
"Having a tool like HyperScience which facilitates the process of converting digital copies of the scanned documents and provides us with the extracted data has helped us to facilitate further automation."
"Valuable features include tools like IQ Bot and the ability to extract handwritten documents with 93-95 per cent accuracy, which can be improved using ML technology."
"We have seen pretty good accuracy."
"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."
"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."
"It has a lot of great features."
"Another valuable feature of IQ Bot is data extraction."
"The product's intelligent OCR capabilities are particularly effective for data extraction. It utilizes AI models that require only one or two templates to process all invoices."
"Even if there are multiple types that are configurable and if the quality of the images is good, this is definitely much better than others."
"IQ Bot is relatively easy to use and develop."
"The most valuable feature is the cognitive, self-learning component that understands the undefined templates."
"Our mainframe-based and web-based projects are working well, with no issues."
"Extracting information from 500,000 invoices manually is difficult. IQ Bot automates the task and helps us summarize the data and provide it to the auditors."
 

Cons

"Automation Anywhere could improve by better integrating with DevOps. Currently, it cannot be integrated 100% with DevOps methodology, which many companies are requiring."
"It may sound a little funny or weird, but one thing that we are thinking is we have to go to various websites and pick up relevant data from various websites using the bot."
"Improving on the ease of use and user experience of Automation Anywhere (AA) could help."
"Automation Anywhere is unable to connect to the database directly. What we are doing now is directly writing the PL/SQL scripts and trying to push the data from the database into Automation Anywhere. This feature is available in UiPath, but not in Automation Anywhere."
"When working with Excel, unlike other tools such as UiPath, Automation Anywhere does not have the standard variables for .Net data types."
"We'd like to see more AI features."
"The first version would double our cost."
"They need to improve the OCR engine which is not up to the market."
"The solution is expensive."
"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."
"HyperScience is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"HyperScience could improve the unstructured data extraction feature."
"The solution lacks support for a greater range of languages."
"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."
"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."
"Better customization in terms of mapping would be an improvement."
"The licensing is under usage per page, and I wouldn't recommend it."
"When you update to a new version, you have to migrate your applications."
"Lacks sufficient flexibility in identifying a wider variety of documents."
"IQ Bot could improve the documentation."
"Technical support was very convenient previously, about one and half years ago, but now, it is not as good. Even the support persons that we contact can't give us a solution."
"The price of IQ Bot, packaged with Automation Anywhere, is too expensive for some companies and they will not use it."
"The quality of the service needs to be improved."
 

Pricing and Cost Advice

"No one is balking at the cost. They are market rates and will change, but no one is saying, "That is ridiculous or impossible." They are saying, "Show me the ROI and prove that the cost is accurate.""
"We have a few licenses. They cost roughly $10,000 each."
"The pricing is fair. My company is part of a big organization, so the pricing is very advantageous."
"The pricing and licensing of Automation Anywhere plays an important rule in the Indian market because in the Indian market $10,000 USD is too much. Hence, the pricing tends to go down depending on the customer relationship with the partner: A starter pack is $10,000 and an enterprise pack is $100,000. If you go through an implementation partner, you can get good deals. They can save some money."
"Annual licensing costs would be about $100,000."
"IQ Bots are very costly. It's not a sustainable bot for us as of now. We will look for better, alternate options for that."
"My only suggestion in terms of pricing is very generic and that is to consider that as much as RPA saves cost and does automation, please get a realistic estimation done on whether you are really achieving any ROI over your investment with RPA."
"The cloud-based version comes at an increased cost, although our clients are happy with the new features and have not complained about the pricing."
"I don't have any idea about the licensing costs, but I know that there was a per-page charge. They had different models of pricing. One of them was based on the minimum number of pages, and we had a fixed price. So, the price model depends on the volume that is coming through HyperScience."
"I think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."
"The product’s price is always in the higher range."
"The pricing is complicated but I wouldn't say that they are expensive."
"The licensing is on a yearly basis, and I am happy with the pricing."
"The licensing is under usage per page, and I wouldn't recommend it."
"It's expensive."
"It has an average cost."
"IQ Bot's pricing is reasonable compared to other solutions but should be decreased further."
"There are more affordable solutions than this."
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Use our free recommendation engine to learn which Intelligent Document Processing (IDP) solutions are best for your needs.
899,283 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
11%
Computer Software Company
7%
Financial Services Firm
12%
Construction Company
9%
Manufacturing Company
9%
Insurance Company
9%
Financial Services Firm
14%
Construction Company
9%
Manufacturing Company
8%
Marketing Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business152
Midsize Enterprise82
Large Enterprise535
By reviewers
Company SizeCount
Large Enterprise7
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise9
Large Enterprise29
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
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When evaluating Robotic Process Automation, what aspect do you think is the most important to look for?
My answer is going to a bit different as I am a business user with limited programming skills 1. Software costs incl...
What is your experience regarding pricing and costs for IQ Bot?
In my experience, compared to Power Automate ( /products/microsoft-power-automate-reviews ), IQ Bot ( /products/iq-bo...
What needs improvement with IQ Bot?
I haven't found any significant pitfalls, but one area for improvement could be the selection process when working wi...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
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Interactive Demo

Demo not available
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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Hyperscience's customers are some of the top enterprises in the Insurance, Government, Financial Services, and Healthcare industries.
Synergy
Find out what your peers are saying about Automation Anywhere, ABBYY, UiPath and others in Intelligent Document Processing (IDP). Updated: May 2026.
899,283 professionals have used our research since 2012.