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Deepset AI Platform vs Gupshup comparison

 

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

Deepset AI Platform
Ranking in AI Customer Experience Personalization
27th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AI Finance & Accounting (8th)
Gupshup
Ranking in AI Customer Experience Personalization
6th
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Customer Communications Management (CCM) (2nd), Conversation Intelligence Software (3rd), AI Customer Support (4th), AI Sales & Marketing (6th)
 

Mindshare comparison

As of July 2026, in the AI Customer Experience Personalization category, the mindshare of Deepset AI Platform is 0.7%, up from 0.1% compared to the previous year. The mindshare of Gupshup is 0.9%. It is calculated based on PeerSpot user engagement data.
AI Customer Experience Personalization Mindshare Distribution
ProductMindshare (%)
Gupshup0.9%
Deepset AI Platform0.7%
Other98.4%
AI Customer Experience Personalization
 

Featured Reviews

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.
Jaspreet k - PeerSpot reviewer
Head of development at Flash
Improving customer engagement has transformed how our AI chatbots drive conversational sales
I do not feel that Gupshup needs any improvement. It is an absolute solution, and I believe they do not need improvements in UI, UX, customer support, product visibility, or learning curve. Everything is very detailed, and I feel it is the best in this segment. I do not have any suggestions for improvement. I do see advancements of AI and ML in the upcoming years as a potential area for Gupshup to focus on further. I am witnessing new LLM and models emerging in the industry daily, so naturally, I think the AI agents could be improved. Beyond that, I do not feel anything else is needed as an improvement.

Quotes from Members

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

Pros

"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."
"Gupshup has impacted my organization very positively; it is a good platform, very reliable, and this is the first platform that we have used where we did not feel any need to switch over to any competitor because Gupshup is everything it markets itself to be."
"At BookMyShow, I typically achieved delivery rates above 95%, read rates between 60 to 80%, and click-through rates noticeably higher than other comparable tools."
"Gupshup has positively impacted my organization in multiple ways, significantly impacting the bottom line and providing an overall return through the WhatsApp automation report showing around 398 percent on investment over a three-year period."
"Gupshup is doing a good job in terms of accuracy and reliability, and they can keep doing so."
"We have achieved a 97 to 98 percent successful delivery rate for business-critical OTPs and transactional notifications."
"Gupshup has positively impacted my organization by helping me increase the user base from an existing point of view from zero to 0.6x in a span of three months."
"I think the best feature Gupshup offers is the very good documentation, and I appreciate how they provide assistance when we need it, as well as the architecture of the documentation."
"I believe Gupshup has made the process of integrating WhatsApp for customers more agile."
 

Cons

"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."
"I remember that I was trying to get the webhooks about account information, and I had trouble finding in the documentation how I could receive webhooks about the account, such as when we have an account that could be blocked or when the limit of messages might be erased."
"Gupshup can be improved in terms of the UI and the design of the particular model."
"I think Gupshup could be improved with online support or WhatsApp support so that we can talk directly with an agent, instead of working only by email."
"If I suggest an improvement, I would desire to see deeper analytics."
"My feedback regarding Gupshup is that during the DLT setting of IDs in the SMS and WhatsApp section, whatever is written in the portal has to be precise."
"I would appreciate more granular error code documentation for edge case API delivery failures, deeper out-of-the-box integration with cloud monitoring tools such as AWS CloudWatch or DataDog for native metric scraping, and a more responsive administrative console when querying massive historical message logs."
"Gupshup could be improved by adding more selection of templates."
"I think their customer support needs to be improved as they have a very slow response time and lack local support, especially in Indonesia."
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Top Industries

By visitors reading reviews
Construction Company
44%
Comms Service Provider
12%
Outsourcing Company
7%
Manufacturing Company
5%
Manufacturing Company
26%
Construction Company
16%
University
11%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

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 evaluation for our RAG application. For example, we are using Deepset Haystack open-so...
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 want to add anything else about the features. My advice for others looking into us...
What is your experience regarding pricing and costs for Gupshup?
Regarding the metering and billing experience, I feel that Gupshup has provided me exceptional results. The payment plans and model for paying directly were not expensive at all. I am essentially a...
What needs improvement with Gupshup?
I do not feel that Gupshup needs any improvement. It is an absolute solution, and I believe they do not need improvements in UI, UX, customer support, product visibility, or learning curve. Everyth...
What is your primary use case for Gupshup?
I have been using Gupshup for the last four years in the organization for SMS API management. Gupshup serves as a provider for the API, helping us to get the OTPs and the omnichannel transactional ...
 

Overview

Find out what your peers are saying about Sendbird, Amazon Web Services (AWS), Gong and others in AI Customer Experience Personalization. Updated: June 2026.
902,894 professionals have used our research since 2012.