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Calabrio ONE vs Deepset AI Platform 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

Calabrio ONE
Ranking in AI Customer Experience Personalization
3rd
Average Rating
7.8
Reviews Sentiment
7.5
Number of Reviews
42
Ranking in other categories
Workforce Engagement Management (3rd), AI Scheduling & Coordination (2nd)
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)
 

Mindshare comparison

As of August 2026, in the AI Customer Experience Personalization category, the mindshare of Calabrio ONE is 1.2%, down from 2.4% compared to the previous year. The mindshare of Deepset AI Platform is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Customer Experience Personalization Mindshare Distribution
ProductMindshare (%)
Calabrio ONE1.2%
Deepset AI Platform0.7%
Other98.1%
AI Customer Experience Personalization
 

Featured Reviews

Jaleelakadheer Mohideen - PeerSpot reviewer
Operation Planning Associate at a financial services firm with 5,001-10,000 employees
Improved agent adherence and scheduling have boosted satisfaction but reporting still needs real time
In terms of improvements for Calabrio ONE, since I do not work with forecasting, I think we could collaborate AWS with Calabrio ONE to get live data fed into Calabrio ONE, which would be even greater for forecasting. We pull the majority of our reports through Calabrio ONE, and something I have noticed is that for the intraday report, if we want to pull data at 12:30, we have to wait until 12:45. It is a 15-minute refresher window, which is lagging behind. This delay is the same for any report being pulled. I do not have a grand overview of forecasting, but it generally takes a long time, and my agents have not been able to collaborate AWS with Calabrio ONE in the forecasting aspect. Apart from that, everything else is working great on Calabrio ONE. I would love it if it was more real-time and if I could download the data almost immediately without waiting for that 15-minute buffer. I rate Calabrio ONE a seven because I feel it could be improved. As I mentioned, the 15-minute buffer is an issue, and the real-time feeding into forecasting could be better. If we could control Shift Bags within Calabrio ONE instead of using another application like Teleopti to manage Shift Bags or control overall shifts, that would be even better. Right now, we use a combination of Teleopti and Calabrio ONE to decide the Shift Bags. The quantity and quality of results provided by Calabrio ONE are accurate 95 percent of the time. The forecasting feature in the application might not be the most accurate, which is an area where we do have issues, especially when scheduling breaks at intervals where calls might be at a higher volume. Those are rigged. Apart from that, since breaks and other meetings get allotted automatically, we do have to manually move them around because that forecasting is not accurate. If that could be improved, it would be great.
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.

Quotes from Members

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

Pros

"The reliability of Calabrio ONE for recording has positively impacted our organization, as we are using it for multiple partners."
"Leadership is able to help new agents learn in real-time versus going back and reviewing."
"Calabrio's learning curve is very short, the user interface is extremely easy to use, and I could not be happier with this product."
"Our agents have the functionality for partial coverage, this allows them to customize their schedule and still meet our SLA's."
"Customer Service: Calabrio takes care of their customers very well; they really want to make sure you are extremely satisfied with your experience using the products."
"I have used many tools such as Verint, IEX, and Avaya, but I saw that Calabrio ONE was far better than other tools."
"We are able to address compliance issues more quickly."
"I have found the video capture to be the most valuable feature."
"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."
 

Cons

"I rate Calabrio ONE a seven because I feel it could be improved."
"What's currently limited is a forum for UK customer to share best practices with and to utilize these connections to ensure that we are using the system to its full capability."
"Calabrio ONE can be improved in the area of predictive workforce planning."
"The only area of improvement, in my opinion, would be faster loading times and faster search results."
"Multi-skill scheduling and forecast is not available."
"Need a column for hours scheduled on main page."
"Try and correct bugs prior to release."
"There have been some imperfections in the product, however, support has ALWAYS stepped up and assisted until resolved, even if it meant a patch or something."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Outsourcing Company
16%
Manufacturing Company
10%
Construction Company
8%
Construction Company
42%
Comms Service Provider
13%
Outsourcing Company
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise37
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Calabrio ONE?
I do not know about that because my company provided it to me. I do not know about the costing of Calabrio ONE, the licensing, or the setup costs because my organization provided it. I did not hand...
What needs improvement with Calabrio ONE?
Calabrio ONE can be improved in the area of predictive workforce planning. I believe predictive workforce planning would be more valuable if the platform could automatically identify unusual patter...
What is your primary use case for Calabrio ONE?
I use Calabrio ONE for small retail verticals from one of the projects like Mattel and other pieces as well for delivering the POC at the client side. I was working on almost three to four projects...
What needs improvement with Deepset AI Platform?
Deepset AI Platform can be improved by simplifying pipeline management and providing easier debugging for complex Retrieval-Augmented Generation flows. To improve my experience with Deepset AI Plat...
What is your primary use case for Deepset AI Platform?
My main use case for Deepset AI Platform is utilizing it as an AI orchestration layer for RAG, search, and agentic workflows. I use this as an AI orchestration solution for GenAI applications and f...
What advice do you have for others considering Deepset AI Platform?
My advice for others looking into using Deepset AI Platform is to know your use cases. There are many options in the market including LangChain, LlamaIndex, and Pinecone Assistant. It is crucial to...
 

Also Known As

Calabrio
No data available
 

Overview

 

Sample Customers

Polaris, Equifax, Fedex, Rabo, Paychex, Virteva, VITAS Healthcare Corp, Keurig Green Mountain, AT&T, Esurance, Subaru, Boeing, Tiffany & Co., Thomson Reuters.
Information Not Available
Find out what your peers are saying about Calabrio ONE vs. Deepset AI Platform and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.