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Kore.ai vs Upwind comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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

Kore.ai
Ranking in AI Security
13th
Average Rating
8.0
Number of Reviews
11
Ranking in other categories
AI Agent Builders (7th), AI Customer Experience Personalization (10th), AI Customer Support (5th), AI IT Support (8th)
Upwind
Ranking in AI Security
61st
Average Rating
9.6
Reviews Sentiment
8.7
Number of Reviews
2
Ranking in other categories
Vulnerability Management (32nd), Container Security (29th), Cloud Workload Protection Platforms (CWPP) (18th), API Security (12th), Cloud Security Posture Management (CSPM) (22nd), Cloud-Native Application Protection Platforms (CNAPP) (15th), Cloud Detection and Response (CDR) (8th)
 

Mindshare comparison

As of May 2026, in the AI Security category, the mindshare of Kore.ai is 0.7%. The mindshare of Upwind is 0.8%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Security Mindshare Distribution
ProductMindshare (%)
Kore.ai0.7%
Upwind0.8%
Other98.5%
AI Security
 

Featured Reviews

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.
reviewer2702562 - PeerSpot reviewer
Manager, Information Security at a retailer with 1,001-5,000 employees
Increased compliance and visibility boost cloud security posture
Upwind has great runtime detection and response capabilities for our cloud workloads. It provides great context for vulnerability management, allowing us to see what our most important vulnerabilities are. Upwind gives us insight into API security threats and helps us identify misconfigurations in our cloud environments to align with security frameworks like CIS or NIST. With Upwind, we have greatly increased our cloud security posture. Our compliance rates have improved significantly, and they have helped us automate vulnerability management and gain insights into API endpoint security.
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise12
No data available
 

Questions from the Community

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.
What is your experience regarding pricing and costs for Upwind?
The pricing, setup cost, and licensing process were pretty reasonable.
What needs improvement with Upwind?
Currently, we are working with Upwind on API security, which is something we want them to keep pushing. We also want them to be able to record SSH sessions; it's a tough request.
What is your primary use case for Upwind?
I have several use cases for Upwind. I will start with our private cloud that is based on Kubernetes, so we're using it also for Cloud Detection and Response and also for vulnerability scanning. We...
 

Comparisons

 

Also Known As

No data available
Upwind Security Upwind Platform for AWS Security Hub, Upwind Security Upwind for AWS Security Hub Extended
 

Overview

 

Sample Customers

Leading banks & Enterprise Companies
StockX, Yotpo, bill, Digital Turbine, nanit, CallRail, boomi
Find out what your peers are saying about Kore.ai vs. Upwind and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.