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Gemini Enterprise Agent Platform vs Kore.ai comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 23, 2026

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

Gemini Enterprise Agent Pla...
Ranking in AI Agent Builders
5th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
15
Ranking in other categories
AI Development Platforms (1st)
Kore.ai
Ranking in AI Agent Builders
7th
Average Rating
8.0
Number of Reviews
11
Ranking in other categories
AI Customer Experience Personalization (10th), AI Security (13th), AI Customer Support (5th), AI IT Support (8th)
 

Mindshare comparison

As of May 2026, in the AI Agent Builders category, the mindshare of Gemini Enterprise Agent Platform is 9.1%, up from 1.5% compared to the previous year. The mindshare of Kore.ai is 2.9%, down from 24.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Agent Builders Mindshare Distribution
ProductMindshare (%)
Gemini Enterprise Agent Platform9.1%
Kore.ai2.9%
Other88.0%
AI Agent Builders
 

Featured Reviews

Hamada Farag - PeerSpot reviewer
Technology Consultant at Beta Information Technology
Customization and integration empower diverse AI applications
We are familiar with most Google Cloud services, particularly infrastructure services, storage, compute, AI tools, containerization, GCP containerization, and cloud SQL. We are familiar with approximately eighty percent of Google's services, primarily related to infrastructure, AI, containers, backup, storage, and compute. We are familiar with Gemini AI and Google Vertex AI, and we have completed some exercises and cases with our customers for Google AI. We use automation in machine learning. I work with a team where everyone has specific responsibilities. We have design and development processes in place. Based on my experience, I would rate Google Vertex AI a 9 out of 10.
Judin Augustin - PeerSpot reviewer
Associate Data Scientist at Guide House
Automation has reduced large call centers and provides real-time outbound support for patients
Kore.ai is a low-code platform, and you do not necessarily have to be an expert in artificial intelligence or generative AI to use this platform. However, if you have that experience, it will be a valuable add-on. The main advantage is that it has almost every kind of plugin available to use, whether for live agents or if you want to use it as a call center. You have real-time capabilities and the most useful plugins available, with almost every kind of model available with configurations. We can configure the ML models and train them. The platform is very user-friendly with explanatory features and a great UI. One significant feature is the live testing platform with Kore.ai. When you are creating a workflow, you have an interactive, real-time testing platform that reflects every change you make. This makes it easy to debug errors or add new features. Additionally, Kore.ai has many different tools and platforms that cater to different needs, whether for a call center, normal workflow, or machine learning workflow, which is really useful. Because of Kore.ai, it was much easier than creating something manually. A low-code platform always helps, and when that platform has this much capability, it provides far more value than manual development. It was particularly helpful for our team that we could create a POC and get that project into production. Kore.ai helped our team build a generative AI outbound calling chatbot, and it truly helped our customers. If you have a hospital with a thousand employees in a call center, you might consider outsourcing. However, with Kore.ai's outbound calling capabilities, you can eliminate the outsourcing part. You do not need a thousand call center employees. You can accomplish this through automation with just one or two employees if people need to switch to agents. This represented a significant cost reduction.

Quotes from Members

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

Pros

"With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases."
"The most valuable feature we've found is the model garden, which allows us to deploy and use various models through the provided endpoints easily."
"The most valuable features of the solution are that it is quite flexible, and some of the services are almost low-code, with no-code services, so it gives agents flexibility to build the use cases according to the operational needs."
"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."
"The best feature of Google Vertex AI is the ease of use, along with the integration with the rest of the Google ecosystem and the way models can be made available outside Google through endpoints."
"The features I have found most valuable in Google Vertex AI are Gemini's large language models, which are currently among the best, and the vision tool of Gemini, which I consider quite good."
"It provides the most valuable external analytics."
"Google Vertex AI is an out-of-the-box and very easy-to-use solution."
"Kore.ai offers multiple support and services, including API integration, webhook integration, and multiple channels, making it easy to design your own layout, integrate with multiple channels and webhooks, deploy quickly, and track any errors that occur, so it is a good way to start and easy to learn."
"Kore.ai has positively impacted my organization, as it saved a lot of time in implementation and the proof of concept was very fast to implement and easy to develop."
"The best feature of Kore.ai is that it is a cost-saving tool because when we use IVR, we have to assign agents at the backend, but using Kore.ai, we can automate all of those functions."
"It impacted my organization by helping us move into being AI-native, and it helped a lot to show other clients that we have worked in AI."
"Kore.ai has positively impacted my organization by simplifying the process of responding to emails and streamlining the workflow, saving me considerable time."
"Kore.ai has positively impacted our organization by reducing error rates from around fifteen to twenty percent to just two to three percent after implementation."
"Because of Kore.ai, it was much easier than creating something manually, and when that platform has this much capability, it provides far more value than manual development."
"Kore.ai has positively impacted my organization by being a big money saver because before having our chatbot, the use case was that every time some of our customers needed help, they used to call a number."
 

Cons

"I've noticed that using chat activity often presents a broader range of options and insights for a well-constructed question. Improving the knowledge base could be a key aspect for enhancement—expanding the information sources to enhance the generation process."
"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."
"Google Vertex AI is good in machine learning and AI, but it lacks optimization."
"I think the technical documentation is not readily available in the tool."
"The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time."
"The tool's documentation is not good. It is hard."
"Google can improve Google Vertex AI in terms of analysis and accuracy. When passing a very large context, instead of receiving vague responses, it would be better if the system could prompt users not to pass overly large prompts and provide clearer guidance on how to fine-tune Gemini for specific use cases."
"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."
"I rated Kore.ai an 8 out of 10 because additional features could be added to it."
"Customer support is where Kore.ai has significant room for improvement. Post-implementation support is a particularly discouraging aspect for me."
"In my experience, Kore.ai is not stable."
"Customer support is okay, I guess. We get what we want from them whenever there is an issue or something, but sometimes when we had issues, it was delayed a lot."
"I choose 7.5 out of 10 for Kore.ai because a few things already need to be improved, one of which I have mentioned."
"Kore.ai can be improved by enhancing their documentation, which is currently a bit disorganized."
"To improve Kore.ai, I suggest focusing on more agentic automation, such as offering MCP kind of features with an orchestration layer for use cases."
"I would suggest incorporating pre-recorded videos in the tutorials and enhancing the documentation area to make it more user-friendly."
 

Pricing and Cost Advice

"The price structure is very clear"
"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."
"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."
"The solution's pricing is moderate."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Manufacturing Company
10%
Computer Software Company
8%
Comms Service Provider
7%
Construction Company
12%
Financial Services Firm
9%
Outsourcing Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise12
 

Questions from the Community

What is your experience regarding pricing and costs for Google Vertex AI?
I purchased Google Vertex AI directly from Google, as we are a partner of Google. I would rate the pricing for Google Vertex AI as low; the price is affordable.
What needs improvement with Google Vertex AI?
Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to finally activate the services, which is one major flaw, although it is powerful. To ...
What is your primary use case for Google Vertex AI?
Google Vertex AI has been utilized for Vertex Pipelines. I have not utilized the pre-trained APIs in Google Vertex AI, as our deployment is primarily on AWS, and we use API calls.
What is your experience regarding pricing and costs for Kore.ai?
My experience with pricing, setup cost, and licensing is comparatively lower than other companies and tools available.
What needs improvement with Kore.ai?
Kore.ai can be improved by enhancing their documentation, which is currently a bit disorganized. They should include detailed videos or workshops. There are not many videos or community resources a...
What is your primary use case for Kore.ai?
My main use case for Kore.ai was creating an outbound calling generative AI-powered chatbot, which is useful for insurance and healthcare companies.
 

Also Known As

Vertex, Google Vertex AI
No data available
 

Overview

 

Sample Customers

Information Not Available
Leading banks & Enterprise Companies
Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Kore.ai and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.