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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
6.8
Number of Reviews
666
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 (2nd), 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) (10th)
Redwood Software - Finance ...
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
Robotic Process Automation (RPA) (27th), Financial Close Software (15th)
 

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

"AA control room is one central system to manage our tasks. We found it excellent to administrate. It was used for easy scheduling of process/task in Remote desktop. This helped to avoid manual intervention to trigger tasks."
"Automation Anywhere is definitely scalable in several ways; it's easy and accessible, it's designed the best — almost perfect."
"The time savings are valuable."
"The organizations where we have implemented AA have seen tremendous benefits achieved in terms of time and cost-saving with the highest quality of deliverables."
"The product has improved our organization cost-wise and bank savings in transactions. Everything has been changed for the better."
"The technical support is fine. As soon as we raise an issue, we can get the technical support that we need. They provide the solutions to our issues."
"The core RPA service that it provides and the stability that it has in maintaining that as a cloud service solution is a key enabler for us. Its stability is good, and the low-code/no-code setup that it has is very user-efficient."
"The Automation Anywhere software has improved our organization by moving us into the RPA climate and allowing us to save on our overhead."
"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."
"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."
"If accuracy and customer satisfaction are your goals, then you should go for this solution."
"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."
"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."
"We have seen pretty good accuracy."
"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."
"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."
"So the best thing is ease of use."
"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."
"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."
 

Cons

"Autosuggestion of existing use cases based on the problem statement could use improvement."
"I feel that document extraction like IQ Bot can be made more refined so that it may reach its full potential."
"Right now, we are using a VM with Automation Anywhere installed inside it, but it would be nice if the solution could be used on macOS."
"There should be a meeting between the Automation Anywhere team and the end-users to understand whether the process can be made to work on the first attempt."
"Additional features should involve the Cognitive Section where we need more Advance solutions involving ML & AI."
"We have some ERPs tools which are not compatible with Automation Anywhere because they are legacy systems. We find that Automation Anywhere does not work with these at times. Just enabling the usability of Automation Anywhere on some of these legacy ERPs would help us, as we struggle regularly with this issue."
"There should be more available Data Analytics and more AI Front and Deep Learn concepts."
"Cost is the biggest area in need of improvement for Automation Anywhere. Annually it's $250,000."
"The product's usability could be better."
"HyperScience could improve the unstructured data extraction feature."
"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."
"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 is expensive."
"One area is where there are multiple tables in the same form I have seen HyperScience struggle."
"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."
"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."
"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."
"Mapping the process steps to an existing R2R process quickly would be a definite step forward."
"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

"We only deal in annual licenses. There are no pay-as-you-go licenses."
"When you compare the cost of Automation Anywhere with UiPath and Blue Prism, those others are much less. Licensing-wise, UiPath wins the deal."
"Roughly, as of today, it is around $250,000 annually."
"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."
"We have a few licenses. They cost roughly $10,000 each."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"Additional costs will be for the machines and the number of machines that you are using. You can deploy virtually as well as on physical machines. In both the situations, you do need to allocate a certain budget for securing the machines and where the software will be installed and running. The machines cannot be used for anything else, because only a certain bot can run at a certain time. You need to be very particular about your scheduling of running the bots, and while the bot is running nobody can use the machine. You cannot have an agent working on a machine and the bot running in the background. It has to be completely dedicated. Then there are the network bandwidth requirements and space requirements, which are additional costs apart from the licensing and software costs. The developer is also going to charge you for their coding time too."
"The control room access gives the ability to create different roles, which helps when purchasing additional licensing."
"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
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Financial Services Firm
13%
Insurance Company
13%
Construction Company
10%
Comms Service Provider
9%
Manufacturing Company
16%
Outsourcing Company
14%
Construction Company
10%
Performing Arts
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
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: October 2026.
915,341 professionals have used our research since 2012.