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Deepset AI Platform vs Fireworks AI 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
1st
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 Procurement & Supply Chain (1st)
Deepset AI Platform
Ranking in AI Finance & Accounting
8th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Customer Experience Personalization (27th)
Fireworks AI
Ranking in AI Finance & Accounting
5th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
AI Development Platforms (8th), AI Software Development (21st), AI Research (5th)
 

Mindshare comparison

As of August 2026, in the AI Finance & Accounting category, the mindshare of Automation Anywhere is 7.5%, down from 49.8% compared to the previous year. The mindshare of Deepset AI Platform is 1.3%. The mindshare of Fireworks AI is 1.8%. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
Automation Anywhere7.5%
Fireworks AI1.8%
Deepset AI Platform1.3%
Other89.4%
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.
M김
Ai스페셜리스트매니저 at a tech vendor with 501-1,000 employees
Automation has accelerated agent workflows and now needs broader connections for enterprise data
In the current function calling, if Fireworks AI could be added as part of our RAG system not only with the function calling we are using now but also with a variety of other connections, then an even better situation would be possible. Fireworks is based on tool calling, so it needs to add more different kinds of connections to enable faster data retention and optimization. Although multiple optimal optimization or measurement methodologies for using LLMs are being discussed, when using them inside enterprises, the main thing is actually measuring work handling capability or work processing speed. Based on that, and also through what might be called interviews with business-side staff, we measured the speed improvements in a somewhat indirect manner.

Quotes from Members

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

Pros

"One of the strengths of Automation Anywhere is its user-friendly interface, which makes it accessible even to those without a development background."
"The ease of use and its ability to change the code when something in the main process or core process changes. The ease of use is really good."
"Automation Anywhere reduced the manpower up to 80% with a high return on investment."
"I love its reliability, ease of use, and the vast customer support that are always present to help us."
"Automation Anywhere is stable."
"The features of Automation Anywhere improve my company by making deployment and maintenance of our automations a smoother process overall."
"The most valuable feature of Automation Anywhere is the automation that frees up time for our employees to engage with customers."
"We have never not had a yearly ROI; we've always greatly exceeded the cost of, or the investment in, the tool and it is saving us more than millions of dollars a year."
"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."
"Fireworks AI has positively impacted my organization by helping my productivity go up."
"Based on my exploration so far, I find that Fireworks AI offers a platform where I can run and build my own AI models, which I consider to be the best feature."
"Fireworks AI has positively impacted our organization by making our AI features feel more production-ready instead of experimental."
"Since using Fireworks AI, being part of their startup program has resulted in significant cost savings and has helped accelerate our development timeline."
"Fireworks AI has helped our organization by enabling us to create a platform for artists to sell their art styles."
"Fireworks AI has impacted us positively as it helps in offering us access to the open-source models by advancing fine-tuning options, a massive library where we can get information from the database that we can use in line with our company policy."
"The inference itself works fine, with reasonable model breadth and speed, and my problem is entirely with billing, not the underlying technology."
"After introducing Fireworks AI's high-speed inference engine, I found that communication speed between agents was about twice as fast as before."
 

Cons

"Automation Anywhere is a fantastic platform, but I rate it nine because I see one scope of improvement."
"Automation Anywhere can be improved by working on the next step with GenAI process automation and the agents."
"It is nice being able to develop and manage/schedule scripts from the same web browser interface, but there are times I wish that the bot developer screen was made more user friendly."
"Currently, there are some vulnerabilities in security that need attention in Automation Anywhere."
"They can provide more features for desktop application automation. They don't have extensive capabilities for automating desktop applications."
"A lot more can be done to make the solution easy for developer to use."
"I would like them to add OCR features. This would help us deal with unstructured data and we can get more data out of images."
"Another feature that would be cool to see in Automation Anywhere is more use of artificial intelligence. Right now, RPA is basically limited to a bot which is simply following the instructions that it was given. However, what would be really useful is if a bot was able to more flexibly respond to issues. For example, sometimes there are erroneous errors and pop ups. With good code, you can certainly build your bots to be able to handle that. However, it does take time and a bit of technical know-how to be able to do that."
"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."
"In the current function calling of Fireworks AI, I am using it as one part of my RAG system. If Fireworks AI could be enhanced not only with the function calling I currently use, but also by adding a variety of other connections, then I think it would lead to an even better situation."
"Based on my exploration so far, I find that it is too early to judge any improvements or negative aspects of Fireworks AI, as I am still in the exploration phase."
"Fireworks AI could be improved, as documentation could be clearer in some areas, especially around advanced configs."
"When using the API, it does not return information about the charges for image generation, which would be useful for our solution."
"One of the things that could improve Fireworks AI is the cost, which I think is really expensive."
"The only challenge is that Fireworks AI is not a ready-made business application; you have to customize it to suit your organization's taste, and it lacks a user-friendly dashboard, making it very difficult to grasp."
"Receiving a $40,000 bill out of nowhere, for usage I never knowingly incurred and which my own dashboard does not reflect, has been an extremely stressful experience."
"The customer support for Fireworks AI is average."
 

Pricing and Cost Advice

"Whatever investment, licensing, and resource costs together are put in for development and delivery, we are still at an ROI of 250 percent."
"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."
"It's an ideal pricing model to customize the components based on everyone's needs."
"Annually, we are paying almost one million reais."
"The cost of Automation Anywhere is high in Turkey due to the weak economy."
"The price of Automation Anywhere is a little higher than some of the competition, such as UiPath. However, depending on the use case and other factors we are able to receive some discounts."
"They are already coming out with a community license, which is really good. That's something that I wish to have."
"The cost can be reduced a little for users."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
Construction Company
42%
Comms Service Provider
13%
Outsourcing Company
7%
Manufacturing Company
5%
University
12%
Computer Software Company
9%
Outsourcing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise2
 

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 ...
What is your experience regarding pricing and costs for Fireworks AI?
Be extremely cautious. Although it is marketed as 'Pay-As-You-Go,' there are no spending caps, no threshold alerts, a...
What needs improvement with Fireworks AI?
Billing transparency and safeguards are urgently needed. A product sold as 'pay-as-you-go' should never produce a sur...
 

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
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
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Find out what your peers are saying about Deepset AI Platform vs. Fireworks AI and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.