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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
660
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

"Ease of use is one thing that definitely first comes to mind when I think of Automation Anywhere. The tools are built in a fairly straightforward way. The documentation is really good and a Knowledge Base is available on every topic."
"The turnaround time of building bots is quick. We are deploying around four bots per month. The turnaround time to get a design, build, and deploy is very fast. This is very good for us. It has helped us out when scaling up in a better manner."
"The ease of use for the end user and the very low complexity in trying to build a bot are the big factors for us. We are able to work on a project, identify a use case, come up with a design spec, and execute and build a bot within a span of six to eight weeks. In nine to ten weeks, we are able to go live, which reduced complexity. Once we go live, the user interface and the user experience are extremely good."
"We have been able to reduce the amount of repetitive tasks completed by operations, allowing individuals to move onto tasks which cannot yet be automated."
"Other products are more low-code, whereas Automation Anywhere is no-code making it easier to learn and user-friendly."
"It helps with the speed on improving processes and the results of those processes."
"Automation Anywhere has a great learning curve, and we have automated processes through bots that ease our work by handling repetitive tasks and minimizing effort and work inefficiencies."
"The most valuable feature is the object cloning."
"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."
"Has algorithms that can detect a document template even if the image has a lot of distortions."
"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."
"I like that compared to other tools, HyperScience works best with handwritten documents."
"What I liked more about HyperScience was the quality of the OCR it is a lot better compared to Google."
"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."
"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

"Web automation capability needs to be improved."
"The solution should have a more robust forum to help users navigate the solution, learn about it, and get help when they need it."
"It is not always predictable 100% of the time. While it has improved with each version, some unexplained issues still exist."
"The UI could be made better because the UI in Version 11 was better and easier as compared to a2019."
"The capability of understanding and extracting documents is not very good."
"There's potential for Automation Anywhere to integrate conversational types of tools and AI into their tool set, which would be really valuable."
"The main issue I identify is that the cost of the enterprise-scale license and add-ons can be a barrier for small businesses."
"My current and previous companies have had stability issues."
"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."
"They could work on the price and make it a bit more reasonable."
"Extracting tables from certain documents could be improved."
"HyperScience is a stable solution, but there are some improvements needed in terms of the language support and support of dictionaries."
"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."
"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 could improve the unstructured data extraction feature."
"The solution lacks support for a greater range of languages."
"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."
"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."
 

Pricing and Cost Advice

"One of the things that will be good for the community will be to get the free version to download, which came out just a month ago called Community Edition. So, you can actually download it and try it for yourself."
"The pricing is reasonable and one can achieve ROI faster when compared to other tools."
"We purchase on a bot basis. Our costs are approximately $5,000."
"Yearly, our licensing costs are about $90,000 to $100,000. There will be additional licensing costs when we add more Bot Runners to our infrastructure."
"I do not know the price, but I am told that it is cheaper than UiPath."
"Automation Anywhere might have a higher upfront cost than some competitors, but its extensive features and seamless integration with other tools can save organizations money in the long run."
"They're very flexible around pricing and licensing."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their 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 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
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
11%
Insurance Company
12%
Financial Services Firm
11%
Construction Company
10%
Manufacturing Company
10%
Manufacturing Company
15%
Construction Company
11%
Outsourcing Company
10%
Performing Arts
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
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
 

Interactive Demo

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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 HyperScience vs. Redwood Software - Finance Automation Edition and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.