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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
651
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 (9th), AI Software Development (19th), AI Research (5th)
 

Mindshare comparison

As of July 2026, in the AI Finance & Accounting category, the mindshare of Automation Anywhere is 8.2%, down from 49.8% compared to the previous year. The mindshare of Deepset AI Platform is 1.4%. The mindshare of Fireworks AI is 1.7%. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
Automation Anywhere8.2%
Fireworks AI1.7%
Deepset AI Platform1.4%
Other88.7%
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

"The integration is helpful. We have quite a few use cases where we've integrated with Microsoft tools and local record systems, such as SAP and Vertex AI."
"RPA is a feature that really helped eliminate errors during the execution of structured business processes."
"We were able to demonstrate that this application can do wonders for the organization, help us to digitally transform the way we're working, and introduce a new way of working to any organization."
"The solution helps with reducing operational costs, which can be reduced by up to 30% to 40% in savings in terms of operational cost."
"We have automated every finance-based operation, from collections to invoice processing, and it has streamlined many manual processes, eliminating errors and inefficiencies while allowing us to introduce metrics so we can generate operational reports and improve our overall business."
"The most valuable feature is the Excel operations because the most repetitive task which we used to do was Excel operations, and Automation Anywhere has the Excel commands feature where we can run Excel Macros, which is very valuable and is saving so much time for us."
"The universal recorder is a kind of hybrid recorder that enables the user to record the data across devices."
"We are getting some phenomenal straight through processing, so we took what would have taken 30 to 35 people and are able to do that a little bit more accurately with about six."
"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."
"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."
"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 positively impacted our organization by increasing our AI response time by twenty to fifty percent, as we now have AI agents and AI features that return answers twenty to fifty percent faster."
"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."
"After introducing Fireworks AI's high-speed inference engine, I found that communication speed between agents was about twice as fast as before."
"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."
"Fireworks AI has a solid API and is quite easy to interact with."
"Fireworks AI has positively impacted my organization by helping my productivity go up."
 

Cons

"In the next release, I think it has to be more compatible when deployed with the Citrix environment."
"There have been problems with scalability. It comes down to how we handle the code."
"This solution should be more user-friendly so that our clients can take a bot that we have developed for them, and then run it by themselves."
"MetaBot helps getting data from SAP, but we still have some cases where we cannot fetch data from SAP."
"We have faced some downtime and crashes with the system, but with the cooperation of the Automation Anywhere team, we have been able to contain that."
"The customization feature should be made more user-friendly in order to enable the use of external reference components."
"The IQ Bot is pretty immature, in regards to AI and machine learning. I would like them to add additional logic."
"I never use Automation Anywhere in the attended space because they are bad at that, at least compared to other players like us or UiPath."
"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."
"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."
"Fireworks AI can be improved by addressing that costs can rise at scale."
"Fireworks AI could be improved, as documentation could be clearer in some areas, especially around advanced configs."
"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."
"One of the things that could improve Fireworks AI is the cost, which I think is really expensive."
"When using the API, it does not return information about the charges for image generation, which would be useful for our solution."
"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."
"The customer support for Fireworks AI is average."
 

Pricing and Cost Advice

"Regarding the price, licensing, and maintenance, Automation Anywhere provides its customers with its best and affordable value."
"They have a ridiculously expensive bot licensing structure, especially for the Asian region."
"They are already coming out with a community license, which is really good. That's something that I wish to have."
"It is not cheap, with costs ranging between 700 to 800 dollars per month. While Power Automate is cheaper at 15 dollars per month, Automation Anywhere offers superior features, user-friendliness, and smoothness."
"Automation Anywhere's pricing falls within the mid-range, but the long-term benefits outweigh the initial investment."
"IQ Bots are very costly. It's not a sustainable bot for us as of now. We will look for better, alternate options for that."
"Automation Anywhere's pricing is significantly higher than other RPA solutions."
"There is an annual license to use the solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Construction Company
12%
Manufacturing Company
11%
Computer Software Company
7%
Construction Company
44%
Comms Service Provider
12%
Outsourcing Company
7%
Manufacturing Company
5%
University
13%
Computer Software Company
10%
Construction Company
8%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise544
No data available
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise3
Large Enterprise1
 

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?
No improvements are needed for Deepset AI Platform.
What is your primary use case for Deepset AI Platform?
I have been using Deepset AI Platform for around six months. I use Deepset AI Platform mainly for Gen AI model evalua...
What advice do you have for others considering Deepset AI Platform?
I do not have anything else to add about my main use case or how I use Deepset AI Platform in my process. I do not wa...
What is your experience regarding pricing and costs for Fireworks AI?
While the pricing may feel expensive for smaller teams, the operational burden reduction and performance improvements...
What needs improvement with Fireworks AI?
One of the things that could improve Fireworks AI is the cost, which I think is really expensive. It is very much mor...
What is your primary use case for Fireworks AI?
My main use case for Fireworks AI is typically for fine-tuning or choosing what models I want to use for my project. ...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
No data available
 

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 Automation Anywhere, UiPath, Sage and others in AI Finance & Accounting. Updated: June 2026.
902,988 professionals have used our research since 2012.