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Glean Platform vs PolyAI 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

Glean Platform
Ranking in AI Customer Support
7th
Average Rating
8.6
Number of Reviews
12
Ranking in other categories
Indexing and Search (3rd), Search as a Service (6th), AI Agent Builders (4th), AI Software Development (7th)
PolyAI
Ranking in AI Customer Support
13th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Conversation Intelligence Software (8th)
 

Mindshare comparison

As of November 2026, in the AI Customer Support category, the mindshare of Glean Platform is 1.3%, up from 0.3% compared to the previous year. The mindshare of PolyAI is 1.0%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Customer Support Mindshare Distribution
ProductMindshare (%)
Glean Platform1.3%
PolyAI1.0%
Other97.7%
AI Customer Support
 

Featured Reviews

reviewer2810748 - PeerSpot reviewer
Analyst at a financial services firm with 1,001-5,000 employees
Creating low-code agents has transformed policy queries and now saves employees hours daily
What I would like to see is an ease by which I can have different connectors set up. Right now I have to do a lot of back and forth in order to have these connectors enabled. Having them by default on the platform would be very helpful for me. Also, when developing custom actions, having a developer portal where users can track the log of how the requests are being sent to custom endpoints created would be helpful because right now I do not have anything of that nature. It is just a final response that I get and it becomes very difficult to keep track of what is happening in the backend. Also, the latency that the platform offers is a little high right now. What I have noticed is that on a particular query, the user has to wait a long time in order to get responses. If there is a way to reduce this time and improve performance by decreasing the time for responses, that would be very good. I believe that the latency offered is a little high right now. If I can get prompt responses quickly, then that would be a real user experience enhancement. Also, what I have noticed is the problem that developers face when creating custom actions in Glean Platform, where we are not able to keep track of what is happening in the backend. A logger of sorts would be very good so that I can maintain an idea of what is happening in the backend. If that issue is resolved, along with also the issue of having custom connectors available from the start rather than going to Glean Platform and having conversations about the thing, then it would be very good. If these issues are resolved, then it would be a strong 10 out of 10 from me. But as of now, it will be an 8 out of 10. Glean Platform is a very capable platform. It is good for indexing documents and reducing manual workflows by incorporating an element of AI in it. Business usage can be increased as well. The one caveat is if there are developers who are creating actions on Glean Platform, then I must keep an eye on the logging that I have for the platform because interacting with the backend systems becomes very difficult using Glean Platform. Also, what I have noticed is that it is a real challenge in terms of latency as some of the responses may take a little while to load. However, what I have noticed is that the responses are usually very accurate, and so it is a trade-off between speed and accuracy. This is what I would advise to someone who is looking at Glean Platform.
Harman Singh - PeerSpot reviewer
Devops Manager at Microsoft Ai
Automation has reduced routine inquiries while agents have gained time for complex issues
The best features PolyAI offers include its professional service as a software approach, which is a significant differentiator during initial onboarding, with the structured questionnaire process capturing our architecture, security constraints, brand voice, and API handshakes down the wire. They work instead of handling a raw, self-serve bot builder, allowing our platform engineers to avoid constant babysitting while PolyAI's dialogue engineers handle model fine-tuning, edge case routing, and continuous optimization. I also appreciate the low-latency, human-parity voice system, which helps the voice agent handle non-linear speech, sudden conversational pivots, background noise, and mid-sentence interruptions naturally, making audio latency practically imperceptible and eliminating the awkward pauses typical to traditional conversational IVRs. This is a game-changer. Finally, I appreciate how moving between chats and voice maintains context seamlessly, as conversations trigger or fallback or human handoff. State payloads transfer cleanly with zero loss of session context. The low-latency and human-parity voice system make a significant difference for our team, ensuring that interactions between AI and humans do not sound robotic. This capability makes the AI's responses clear, without context lagging or hallucination. Our end user experience has positively increased by 23.5%. Earlier, latency posed a challenge, but low latency ensures that we can achieve our end goals efficiently. The governance and security of PolyAI is really strong. It has not missed anything in terms of governance and AI, which I feel has been handled really well. The accuracy and reliability of PolyAI's AI output is exceptional, more than 200%, since it does not hallucinate, provides long answers without losing context, and utilizes low latency and advanced AI models. They have done a good job in this aspect.

Quotes from Members

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

Pros

"Glean Platform offers excellent user interface design and integration capabilities with other platforms."
"Productivity has really skyrocketed."
"The major impact that I have noticed is how business users are now being impacted and they are using the platform because they understand it easily."
"Glean Platform has positively impacted my organization by speeding up a lot of repetitive tasks and making it easier for people outside of support to understand what kind of issues impact the support groups."
"Life became so easy when we started using Glean Platform."
"The best features Glean Platform offers are mostly the view, which I think is very good, and what I find most helpful about the view is that the user interface is very good, making it very easy to chat with the chatbot and get all the material that I want in the way that I need it."
"When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy."
"Glean Platform has increased productivity by at least one hundred hours per week for my organization."
"The low-latency and human-parity voice system make a significant difference for our team, ensuring that interactions between AI and humans do not sound robotic."
"Overall, PolyAI has been a great addition to my customer service workflow, and its strong natural language understanding, voice quality, and automation have helped improve efficiency."
 

Cons

"Also, the latency that the platform offers is a little high right now; what I have noticed is that on a particular query, the user has to wait a long time in order to get responses."
"My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available."
"Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms."
"I chose seven out of ten because if I could upload PDFs and have them analyzed, or have it integrate with my Gmail and help me go through my emails, that would be very useful, but I do not think it does that."
"There are multiple ways in which Glean Platform can be improved."
"Sometimes Glean Platform gets slowed down."
"Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching."
"In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field or not, or in this specific node or not, because currently it's using AI in all nodes which sometimes messes up the output."
"One area where PolyAI can be improved is in deeper integrations with existing systems and more configuration on how to handle complex scenarios."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
13%
Manufacturing Company
11%
Comms Service Provider
8%
Construction Company
24%
Educational Organization
10%
Comms Service Provider
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise9
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Glean Platform?
My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available.
What needs improvement with Glean Platform?
In workflow agents, I would prefer that we do not use AI in every step and instead we have a toggle button or something which can configure whether AI should be used in this specific search field o...
What is your primary use case for Glean Platform?
I use Glean Platform as an enterprise search tool and I am a power user of agents, so I mostly use this on a day-to-day basis for random searches that I need to do about a company, a website, or if...
What is your experience regarding pricing and costs for PolyAI?
PolyAI's pricing and licensing were competitive for my use case.
What needs improvement with PolyAI?
One area where PolyAI can be improved is in deeper integrations with existing systems and more configuration on how to handle complex scenarios. An area for improvement with PolyAI would be more fl...
What is your primary use case for PolyAI?
My main use case for PolyAI is to build a solution for customer service, particularly automating common queries efficiently. I use PolyAI to handle common customer service calls such as account bal...
 

Comparisons

 

Also Known As

Glean Work AI Platform
No data available
 

Overview

Find out what your peers are saying about NICE, Kore.ai, Sendbird and others in AI Customer Support. Updated: October 2026.
921,523 professionals have used our research since 2012.