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Deepset AI Platform vs UiPath Platform 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
Ranking in AI Finance & Accounting
2nd
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 Procurement & Supply Chain (1st)
Deepset AI Platform
Ranking in AI Finance & Accounting
9th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (29th)
UiPath Platform
Ranking in AI Finance & Accounting
1st
Average Rating
8.8
Reviews Sentiment
6.9
Number of Reviews
1061
Ranking in other categories
Robotic Process Automation (RPA) (1st), Agentic Automation (2nd), AI Agent Builders (1st), Business Orchestration and Automation Technologies (1st)
 

Mindshare comparison

As of October 2026, in the AI Finance & Accounting category, the mindshare of Automation Anywhere is 6.1%, down from 49.8% compared to the previous year. The mindshare of Deepset AI Platform is 1.2%. The mindshare of UiPath Platform is 6.6%, down from 49.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
UiPath Platform6.6%
Automation Anywhere6.1%
Deepset AI Platform1.2%
Other86.1%
AI Finance & Accounting
 

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.
CH
Gen Ai Engineer at extend 7.ai
Pipeline framework has transformed how I evaluate RAG models and optimize vector search
The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time. The pipeline feature and the ease of composing with large language models and vector search save me a lot of time by not writing the code from scratch. I just build the pipeline because Deepset AI Platform provides the out-of-the-box integration with the tools and stack that I am using, including the OpenAI model as well as the Pinecone API. I do not need to implement the details; I just use the existing tools in Haystack, pulling it together for the pipeline. This allows me to avoid too much detailed coding and saves me a lot of work, enabling me to focus on the evaluation. Deepset AI Platform positively impacts our organization because we previously did not use any framework for Gen AI applications, and the introduction of this stack provides a framework for our team. It lets our team think about it and shows that it is worth introducing a framework in the future.
HP
Senior Business Process Automation Engineer at a manufacturing company with 10,001+ employees
Automation has transformed document processing and frees teams to focus on higher‑value analysis
Sometimes, we encounter system errors that could be resolved via support, but connection issues are more frequent in enterprise applications. However, these can usually be solved by raising tickets if you are part of an enterprise, though we are not, which makes it somewhat challenging. It is vital to ensure the connections of UiPath Platform are maintained because it has a larger community. If UiPath Platform website included more features and documentation accessible easily, it would greatly enhance the experience. Instead of continually needing to raise support tickets, having a documentation hub where details can just be entered to retrieve required documents would be extremely beneficial.

Quotes from Members

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

Pros

"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 had some business users who created their first bot four weeks back, and they were thrilled; it was very easy for them because of the drag and drag, and they understood the process very well."
"It is easy to automate SAP by using Cloning and Metabot."
"The most valuable feature is the conversion of PDF Invoices to CSV and to PDF Boxes."
"Automation Anywhere and even previous versions, which I've worked on, have good core functionality. The core functionality of being able to automate and build a solution that is local and low code is one of the key differentiators that's allowed us to find success."
"IQ Bot is very helpful as it is easy to learn and implement and the data output accuracy is almost 90%."
"We saved approximately 10,000 hours of work for ourselves, and there are a couple of projects that we have worked on where we could have saved approximately 4000 hours on just one project that we built in two to three weeks."
"Automation Anywhere has helped my company with APIs. We are currently in a project to create APIs for our core banking service and other transactional systems, migrating from another integration technology to API."
"The best feature Deepset AI Platform offers is the pipeline feature that is very easy for me to compose the large language model as well as the vector database search and retrieval, allowing me to build the application and the evaluation script within a very short period of time."
"Specific outcomes since using Deepset AI Platform include ROI from fewer unsupported AI answers, faster context retrieval, and better manager trust in our quality answers."
"UiPath is straightforward and easy to use, even for those without coding knowledge."
"UiPath Platform has positively impacted my organization by really helping us modernize our tech stack, reducing human error, and freeing up employee time, which has helped us save costs and avoid costs."
"The product enables us to implement end-to-end automation."
"UiPath is the best tool for Robotics process Automation(RPA ( /categories/robotic-process-automation-rpa )) compared to other tools because for people who don't have any knowledge of programming can automate simple processes easily."
"My overall experience using UiPath Platform's Agentic automation capabilities, from what I have tested, is very good, and I look forward to using it more in the future."
"When talking about deployment, you have a very robust infrastructure to manage your automations, the robots, and how they can be configured, deployed, executed, monitored, and maintained. When it comes to process discovery, it has excellent front-end tools and capabilities vis-à-vis Task Capture and Automation Hub."
"UiPath's interface element identification is arguably more reliable than Automation Anywhere's."
"The inbuilt RE Framework makes development easier and fast."
 

Cons

"Extracting customer addresses from Google that are not in a standard URL format is a challenge for Automation Anywhere."
"There is an issue with security where users can see the values in the credential vault."
"Automation Anywhere has a persistent click-related issue that can make automation difficult, particularly in unattended environments."
"We encountered issues during the upgrade of the framework."
"My experience with the pricing, setup cost, and licensing is mixed. It is somewhere in between, not the most cost-efficient but also not the highest cost, so it can be better."
"I would like to see web and cloud-based platforms for future releases."
"There is room for improvement in terms of costs and procurement considerations."
"I would like to have a command that allows me to add code, like C#. As a developer, this would be helpful."
"Deepset AI Platform's accuracy and reliability of output are very good when the pipeline is simple and the data is already clean. However, when the data is not clean and the pipeline is complex, the quality and reliability of Deepset AI Platform decrease."
"The support is a little bit lacking, response-wise. Just like in banking, where they give you a relationship manager, they should provide someone who is responsible for a project. That person would be responsible for responding to your queries quickly and efficiently."
"The UI and processes sometimes freeze, so it would be good to see some improvement there. The system configuration and internet speed also have some impact on this."
"UiPath Platform can be improved by working on specific use cases and partnering with us to help bring more belief in the system, and solving the pain points for the industry is critical."
"My overall experience using UiPath Platform's Agentic Automation capabilities is a mix; it was not the best when compared to other tools in the market."
"I believe UiPath Platform should serve a single purpose, helping customers orchestrate decisions, instead of being everything to everyone."
"I am overall very satisfied with UiPath Platform but believe there are areas for improvement, such as the licensing model being potentially expensive for smaller organizations and startups, as well as the desire for more built-in AI templates and reusable components for faster intelligent automations."
"When we deploy code into Orchestrator, sometimes there are macro activities that worked in Studio but do not work correctly in production."
"From a licensing and pricing perspective, scaling becomes challenging."
 

Pricing and Cost Advice

"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."
"Approximately, for a developer, it is around $750 for a license a year. For Bot Runners, it is about $550."
"It looks like it will be right around $115,000, not counting IQ Bot, which we won't renew until later."
"I am not involved in the pricing, but based on what I hear from our central RPA team, it is not very expensive; it is also not cheap. Its price is in the midrange."
"It is reasonable and affordable. If you consider the tasks that we can get done using this, the pricing is reasonable and affordable."
"The Community Edition is a good offering from the company."
"The pricing of AA is similar to UiPath."
"I really enjoy the pricing options with Automation Anywhere, as they are able to flex their ability to adapt to the needs of the customer really well."
Information not available
"The licensing mechanism allows us to share licenses between different users."
"The pricing is okay, but I recommend to build a business case before going live. Ensure that you really use the license and building the robot makes sense. Try to think of multiple use cases, because one license can be used for several robots."
"The licensing cost is very high."
"If you are a smaller organization, use the free community version of the software to get a feel for its features and abilities."
"I think the setup cost is quite nominal, but the licensing might be on a higher side when compared to Automation Anywhere."
"As an application, it is not very expensive. It's very reasonable."
"It is super cheap for the value you get. Their free version is good enough to implement. When you are building a solution, it takes months of effort, and sometimes, it takes years. Its free version is good enough for you to test out everything, so when you are developing, you do not need to pay. After that, there is a Pro version at $420. It is reasonable for the value it is offering. Their basic support is also very good, which comes with the Pro version. The Enterprise license is suitable when you need a hundred automation licenses. It is also reasonable. They give good pricing when you negotiate."
"The licensing model could be improved. UiPath charges more if you increase the number of components. It should be included within the premium licensing. We have 100 percent end-to-end automation for some of our processes. However, we're limited by the licensing from fully automating all of them. We can't use all the features."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
12%
Manufacturing Company
11%
Comms Service Provider
11%
Construction Company
37%
Comms Service Provider
17%
Outsourcing Company
10%
Manufacturing Company
6%
Financial Services Firm
13%
Outsourcing Company
11%
Manufacturing Company
10%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business161
Midsize Enterprise85
Large Enterprise561
No data available
By reviewers
Company SizeCount
Small Business270
Midsize Enterprise162
Large Enterprise795
 

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.
What needs improvement with Deepset AI Platform?
Deepset AI Platform can be improved by simplifying pipeline management and providing easier debugging for complex Ret...
What is your primary use case for Deepset AI Platform?
My main use case for Deepset AI Platform is utilizing it as an AI orchestration layer for RAG, search, and agentic wo...
What advice do you have for others considering Deepset AI Platform?
My advice for others looking into using Deepset AI Platform is to know your use cases. There are many options in the ...
Best RPA tools for IBM iSeries
I can only speak to UiPath since that is the only RPA solution that I have used. I know that there are specific packa...
RPA that Bots can run without centralized control?
Yes, Attended Bots which can run without centralized control Module. RPA Tools like Automation Anywhere, uiPath ,Pow...
How do I choose between UiPath and Microsoft Power Automate?
Microsoft‌ ‌Power‌ ‌Automate‌ ‌is‌ ‌intuitive‌ ‌and‌ ‌easy‌ ‌to‌ ‌integrate‌ ‌and‌ ‌use.‌ ‌I‌ ‌like‌ ‌that‌ ‌there‌ ‌...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
UiPath Maestro, UiPath Apps, UiPath Agent Builder
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Information Not Available
1. Accenture 2. Deloitte 3. PwC 4. IBM 5. Capgemini 6. KPMG 7. Ernst & Young 8. Infosys 9. Cognizant 10. Wipro 11. Tata Consultancy Services 12. HCL Technologies 13. Genpact 14. Tech Mahindra 15. DXC Technology 16. Atos 17. NTT Data 18. CGI 19. L&T Infotech 20. Hexaware Technologies 21. Mindtree 22. Mphasis 23. Virtusa 24. Syntel 25. Zensar Technologies 26. WNS Global Services 27. Hexaware Technologies 28. Larsen & Toubro Infotech 29. Persistent Systems 30. QuEST Global 31. Sonata Software 32. Zensar Technologies
Find out what your peers are saying about Deepset AI Platform vs. UiPath Platform and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.