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Top 58 Speech Analytics Software SaaS Companies in May 2026

As of May 2026, there are 58 SaaS companies in Speech Analytics Software. They have combined revenues of $448.6M and employ 3.3K people. They have raised $387.4M and serve 1M customers combined.

Speech analytics software is designed to process and analyze spoken conversations, primarily used in customer service environments. By leveraging natural language processing (NLP) and artificial intelligence, this technology automatically transcribes speech into text and identifies key themes, trends, and sentiment. Organizations utilize speech analytics to enhance customer interactions, streamline communication processes, and improve overall service quality. The primary use cases for speech analytics include monitoring customer interactions for quality assurance, training and coaching staff, and gathering insights to inform business strategies. Typical features include real-time transcription, sentiment analysis, keyword spotting, and reporting tools. Common buyer personas for these solutions often encompass roles in customer service, sales operations, and business analytics, all focusing on improving customer experience and operational efficiency.

Companies
58
Revenue
$448.6M
Funding
$387.4M
Employees
3.3K

Filters

Sorting: Highest -> Lowest

Filters

Top Speech Analytics Software Companies

Showing 10 of 17 companies ranked by annual revenue.

1
Soho2

New York City, New York, United States

Reduce Risk. Derive Insights. Say the right thing. Soho2 Talos reduces risk, improves agent efficiency, and automates compliance by turning customer communications into actionable insights. Architected to seamlessly integrate with common contact center and CRM platforms, S2 leverages fully customizable solutions to analyze data and classify all customer interactions for easy risk-based prioritization, reporting, and actionability. In an era when customer interactions have grown beyond traditional call center formats, S2 provides native audio and text communication support. Taking an innovative approach, Sohosquared builds systems and models that adapt to a wide variety of risk and classification profiles across omnichannel customer interactions.

Revenue
$4.4M
Customers
-
Year founded
2020
Funding
-
Team size
39
Growth
-
2
area22

Dublin, Dublin, Ireland

area22 are an AI start-up company making digital voice engagement more effortless and "human-like"​. Our mission is to provide a "Voice first"​ conversational engagement channel for brands. As the explosion of Personal Voice assistants, and voice recognition technology, start to penetrate the consumer market, customers will want to do more than just interact with their homes or the internet with simple commands. They will want to interact directly and more deeply with all aspects of their favourite brands through these devices. Today, in order to support a deeper frictionless brand experience using digital voice, a much richer voice engagement capability is required. The area22 platform can deliver through a more natural speech experience by adding: a common access point for all personal assistants a personality to engender trust contextual awareness for a more human like behaviour back-end integration & training to brand data, inventory and services The platform will allow customers to build trust in and have worthwhile conversations with their brands, using their standard virtual personal assistants. area22 will make brands more "Voice aware"​. Contact us and lets start a conversation!

Revenue
$3.9M
Customers
-
Year founded
2015
Funding
-
Team size
35
Growth
-
3
Bland AI

San Francisco, California, United States

The enterprise platform for AI phone calls

Revenue
$3.8M
Customers
-
Year founded
2023
Funding
-
Team size
25
Growth
-
4
Brightmetrics

Petaluma, California, United States

Surfacing business insights through analyzing and visualizing your contact center's customer engagements. #contactcenter #callcenter #cctr #dataanalytics

Revenue
$2.9M
Customers
-
Year founded
2010
Funding
-
Team size
19
Growth
50.08%
5
Xdroid

Mechelen, Vlaanderen, Belgium

Gain valuable Insights out of all your customer interactions. Take Actions, Enjoy the Results. Xdroid’s mission is to transform customer experience and contact centers performance through analytics software based on artificial intelligence. By processing all customer interactions, we automatically provide objective, consistent and valuable information and insights about each conversation.

Revenue
$2.9M
Customers
-
Year founded
2008
Funding
-
Team size
19
Growth
-
6
RepsMate

United States

RepsMate is a conversation intelligence platform that integrates with existing telephony, chat, and email systems. By providing organizations with the tools to empower their agents, it ensures top-notch service in every interaction. RepsMate analyzes all customer interactions, identifying areas for improvement and transforming them into actionable insights. This targeted approach helps address specific weaknesses in customer-facing departments, leading to more satisfied customers, increased operational efficiency and revenue growth.

Revenue
$2.6M
Customers
-
Year founded
2020
Funding
-
Team size
24
Growth
-
7
NICE Uptivity

Columbus, Ohio, United States

NICE (NASDAQ: NICE) is the worldwide leader of software solutions that deliver strategic insights by capturing and analyzing mass quantities of structured and unstructured data in real-time from multiple sources, including phone calls, mobile apps, email, chat, social media, and video. NICE Uptivity solutions give small to medium sized contact centers the tools to continuously improve every aspect of each step of every agent’s life cycle and enhance customer satisfaction. You get exactly what you need thanks to a modern, integrated, and easy-to-use suite of products that offers a unified system for performance management, workforce management, speech analytics, call recording and more. Unparalleled customer service and support from our in-house staff result in a better value, and a lower total cost of ownership. NICE solutions are used by over 25,000 organizations in more than 150 countries, including 80 of the Fortune 100 companies.

Revenue
$2M
Customers
-
Year founded
2004
Funding
-
Team size
18
Growth
-
8
InTouchNow AI

Borehamwood, Hertfordshire, United Kingdom

InTouchNow. ai are revolutionising patient practice communication in healthcare by combining cutting-edge Voice AI technology with human expertise...

Revenue
$2M
Customers
-
Year founded
2019
Funding
-
Team size
18
Growth
-
9
Operata

Denver, Colorado, United States

Operata monitors performance and analyzes quality data from your calls. Every call, every agent, everywhere. Then uses machine learning to diagnose issues, automatically take action and communicate with agents to improve the contact center environment. Operata increases the accuracy of evaluations, assures quality migration, accelerates adoption and enhances service performance and reporting. Available globally as a scalable, simple to deploy SaaS solution, Operata customers include leading insurers, telcos, banks and MSP's

Revenue
$1.9M
Customers
-
Year founded
2017
Funding
$1.6M
Team size
20
Growth
54.63%
10
MiaRec

Campbell, California, United States

MiaRec offers Automated Quality Management and Conversation Intelligence solutions for contact centers worldwide. Our platform is designed to automate workflows, save cost, boost efficiency, enhance customer experience, grow revenue, and drive digital transformation. With MiaRec, contact centers gain full visibility into their performance and can transform inaccessible call center data into valuable customer insights, all while ensuring compliance. Founded in 2013, the Silicon Valley-based company serves more than 500 healthcare organizations, insurance firms, retail companies, financial services institutions, and other customer-first companies worldwide. Learn more at www.miarec.com.

Revenue
$1.9M
Customers
-
Year founded
2013
Funding
-
Team size
17
Growth
-

Inclusion Criteria

- Must provide automated transcription of spoken language - Should include sentiment analysis capabilities - Must identify and categorize keywords or phrases from conversations - Should offer reporting tools for performance insights - Designed for use primarily in customer service or call center environments - Not just a recording tool; must also analyze and generate actionable insights