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  3. SESTEK Analytics
Logo of SESTEK Analytics

SESTEK Analytics

bySestek
in Conversation Analytics Platforms
4.8

Overview

Product Information on SESTEK Analytics

Updated 7th April 2026

What is SESTEK Analytics?

SESTEK Analytics is a software developed to analyze and interpret conversational data from voice and digital channels within contact centers and customer service environments. The software provides insights by processing recorded interactions to extract information related to customer sentiment, agent performance, and common interaction topics. It offers capabilities such as speech-to-text transcription, automatic keyword spotting, and emotion detection, which assist in monitoring service quality and evaluating operational efficiency. Businesses use this software to identify trends in customer inquiries and concerns, enhance compliance monitoring, and optimize training programs. The software aims to support informed business decisions through actionable analytics generated from communication records.

SESTEK Analytics Pricing

SESTEK Analytics software uses a subscription based pricing model with charges typically determined by factors such as number of users, usage volume, and selected features or modules. The pricing structure may vary depending on deployment options and specific requirements. Custom packages and enterprise level agreements may also be available for the software.

Overall experience with SESTEK Analytics

CUSTOMER INSIGHTS MANAGER - CX & ANALYTI
30B + USD, Banking
FAVORABLE

“SESTEK Speech Recognitions and Transcription: Key Technologies for Enhancing Customer Insights”

5.0
Mar 3, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Data and Analytics Manager
1B - 3B USD, Banking
CRITICAL

“Long Wait Time for Product Launch Experienced”

3.0
Nov 28, 2024
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 13th May 2024

Sestek, now under Unifonic, is a globe-spanning business with a focal point on crafting AI-powered solutions for customer service since 2000. The robust R&D team, comprising over 100 engineers, develops dialogue-based products, leveraging technologies like speech recognition, natural language processing, and voice biometrics. The aim is to help transmute the traditional customer service model into a digitized model spanning over 20 countries. Sestek’s product line includes the Knovvu Virtual Agent, which understands customer intent and responds autonomously, thereby increasing self-service efficiency. Another product, Knovvu Analytics, collects and translates complete customer interaction data into usable insights. Lastly, Knovvu Biometrics specializes in rapid caller authorization based on unique voice parameters.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2000
Head office location
Istanbul, Türkiye
Number of employees
51 - 200
Parent Company
Unifonic
Annual Revenue
<50M USD
Website
http://www.sestek.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

SESTEK Analytics Reviews and Ratings

4.8

(8 Ratings)

Rating Distribution

5 Star
88%
4 Star
0%
3 Star
13%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • CUSTOMER INSIGHTS MANAGER - CX & ANALYTI
    10B+ USD
    Banking
    Review Source

    SESTEK Speech Recognitions and Transcription: Key Technologies for Enhancing Customer Insights

    5.0
    Mar 3, 2026
    SESTEK success rate language processing is very high and its user friendly interface, ability to analyze data from multiple perspectives and the availability of a wide range of parameters are key strengths. Additionally, the quality of their support services and professional communication are also highly satisfactory.
  • CUSTOMER INSIGHTS MANAGER - CX & ANALYTI
    10B+ USD
    Banking
    Review Source

    SESTEK Speech Recognitions and Transcription: Key Technologies for Enhancing Customer Insights

    5.0
    Mar 3, 2026
    SESTEK success rate language processing is very high and its user friendly interface, ability to analyze data from multiple perspectives and the availability of a wide range of parameters are key strengths. Additionally, the quality of their support services and professional communication are also highly satisfactory.
  • Read All 8 Reviews

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  • Market Guide for Conversation Analytics Platforms
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Reviewer Insights for: SESTEK Analytics
Performance of SESTEK Analytics Across Market Features

SESTEK Analytics Likes & Dislikes

Like

The most impressive aspect is SESTEK strong performance in speech to text transcription. The efficiency and flexibility of their modules allow for seamless integration into various analytics workflows, providing valuable insights and enhancing overall operational effectiveness.

Like

The most impressive aspect is SESTEK strong performance in speech to text transcription. The efficiency and flexibility of their modules allow for seamless integration into various analytics workflows, providing valuable insights and enhancing overall operational effectiveness.

Like

The most impressive aspect is SESTEK strong performance in speech to text transcription. The efficiency and flexibility of their modules allow for seamless integration into various analytics workflows, providing valuable insights and enhancing overall operational effectiveness.

Dislike

I think AI should be more productive. AI should focus mostly on agents' and customers' sentimental analyses

Dislike

I think AI should be more productive. AI should focus mostly on agents' and customers' sentimental analyses

Dislike

I think AI should be more productive. AI should focus mostly on agents' and customers' sentimental analyses