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HyperScience vs Redwood Software - Finance Automation Edition comparison

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Comparison Buyer's Guide

Executive Summary

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
661
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 (2nd), 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)
Redwood Software - Finance ...
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
Robotic Process Automation (RPA) (28th), Financial Close Software (17th)
 

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.
RC
Enterprise Architect at a consultancy with 10,001+ employees
Single bot now replaces five associates who previously handled finance processes and eliminates manual errors
Everything seems to be working well. However, I see value in integrating AI for automation. So, I would like to see AI integration for automation in future releases. Ideally, after I perform postings, I would like to leverage a generative AI model. This would allow me to type a query or question directly to the bot, and it would retrieve the information I need. For example, I could ask for the number of invoices, the status of specific invoices, or any other relevant data. Currently, we achieve this by building our own Finance model. So, integrating a pre-built finance model with the tool would be much easier and more efficient for reporting purposes. We're looking at several potential uses for this AI model. It could empower various user groups, including regular finance executives, customers, and even vendors to submit queries. Additionally, our leadership team is interested in using the AI model to generate reports directly on the Redwood dashboard. This functionality could potentially replace the need for BSpoke Solutions and the manual generation of BSpoke reports, streamlining the entire reporting process.

Quotes from Members

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

Pros

"This RPA tool is a leader in the market, and I have had a very good experience working with Automation Anywhere."
"The tutorials that are available from Automation Anywhere are very helpful for newbies to learn the platform and get going with the tool."
"This solution is easy to use and easy to learn compared to Blue Prism, UiPath, and others."
"Automation Anywhere is stable."
"I find Automation Anywhere (AA) to be really fast on the development side."
"Once we implemented the Automation Anywhere into my company, we freed up a lot of their time, so they could work on other processes."
"This solution has helped us in several ways, the first of which is scheduling processes."
"Just for this use case, we had around 300 tickets coming in every month. We went live last month and the tickets went down to around 80 as of August 20th. While it might touch around 100, over a period of around six months it will become zero because we have not removed all the legacy data. We are just doing it from the go date of when we went live. The target is that it will be zero after three months. So, it's working well."
"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."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"HyperScience is good for structured and semi-structured document extraction and it's easy to learn."
"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."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"So the best thing is ease of use."
"Unlike other automation tools, Redwood has a unique space in finance automation, where standard SAP modules are used for automating every step in the process, quickly and easily."
"The out-of-the-box finance modules within the Redwood Finance framework help to speed up the process, versus designing and writing generic BOT code."
"Redwood has a great feature where it logs every transaction. So, at any point, we can see every step taken for each transaction. It creates an audit trail of the entire process execution. It is a really good feature. This eliminates the need for extra coding or report generation. The audit report is readily available within the tool itself."
 

Cons

"With the PDF command, you can only read structured data. If your data is in an unstructured format, there is no command for it in Automation Anywhere. Then, people need to use Python coding if their data is in unstructured format. Therefore, Automation Anywhere needs to improve in the PDF area."
"For our legacy systems, we are finding it very difficult to use the automation."
"I have not seen bots working efficiently in the area of reporting."
"I feel that document extraction like IQ Bot can be made more refined so that it may reach its full potential."
"Most of the time, I find that our internal team finds the solution; the support team isn't able to provide a perfect solution."
"The debugger is also a weakness of the tool, forcing the developer to use error handling or message box to map errors. Few applications take more time for loading when integrated."
"We encountered issues during the upgrade of the framework. We were using the older framework of version 10.3.5. When we were upgrading, we were having a few issues in terms of getting the proper hardware and software prerequisites. For some things, like getting the controls of some of the application's tools, we were getting Automation Anywhere's help."
"Automation Anywhere is headed in the right direction but they still have a good way to go."
"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."
"They could work on the price and make it a bit more reasonable."
"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."
"HyperScience is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"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."
"Extracting tables from certain documents could be improved."
"Mapping the process steps to an existing R2R process quickly would be a definite step forward."
"This is where the real challenge is, having a licensing cost that needs to be compared with the existing manual operational cost and coming up with a competitive licensing and pricing model."
"The room for balancing improvement lies in automation enhancement with respect to the feature areas, considering dealing directly with Excel and reviewing it to do some additional stuff for it in the end system so that reading the right thing, picking up the values, and everything."
"would like to see AI integration for automation in future releases. Post-automation, I envision a generative AI model. If I could ask the bot questions like the number of invoices or their current status, it should be able to provide answers directly."
 

Pricing and Cost Advice

"It's cheapest among the competition, although bargaining is a must."
"The pricing that we received from Automation Anywhere in the beginning was very economical for us. We've seen a lot of benefit from what we spent to what we're receiving. From the beginning, it's been a very low-cost implementation for us."
"There may be room for the product to be more competitively priced to excel in the market."
"The licensing cost is approximately $4,000 USD, which is a seed license."
"Because it reduced the time duration of our processes, our costs went down."
"We're just starting to renew our license, and we were quoted $115,000 without the IQ Bot. The IQ Bot is another $30,000. This is with very limited pages, as we go through our first projects. The majority of the cost was for ten days of onsite training."
"Automation Anywhere falls within a mid-range price point when compared to other RPA tools on the market."
"The major reason that we selected Automation Anywhere was the licensing model."
"I think HyperScience is cheaper when compared to other tools. They also have a lifetime licensing option."
"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."
"The licensing was purely based on the number of transactions being processed in production."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Financial Services Firm
13%
Construction Company
9%
Insurance Company
9%
Manufacturing Company
9%
Manufacturing Company
18%
Construction Company
11%
Performing Arts
10%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise83
Large Enterprise553
By reviewers
Company SizeCount
Large Enterprise7
No data available
 

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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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
Redwood Business Process Automation - Finance Edition, Redwood Robotics, Redwood Finance Automation
 

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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.
ArcelorMittal, Alliant Energy, Allianz, Arla, Bacardi, CPS Energy, DSM, Faurecia, Genetech, Jabil, Jumbo,
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: June 2026.
902,988 professionals have used our research since 2012.