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Top 254 Voice AI Agents SaaS Companies in May 2026

As of May 2026, there are 254 SaaS companies in Voice AI Agents. They have combined revenues of $3.5B and employ 20.7K people. They have raised $2.3B and serve 454.9K customers combined.

Voice AI Agents are intelligent software systems designed to engage users in real-time voice conversations, primarily in customer service and support contexts. These agents leverage natural language processing to understand and respond to spoken queries, enabling a more intuitive interaction with technology. Common use cases include handling customer inquiries, processing orders, and delivering personalized assistance across various communication platforms. Typical features of Voice AI Agents include speech recognition, context-awareness, and adaptability to different user profiles and conversational styles. They are often utilized by businesses in sectors such as retail, telecommunications, and finance. Typical personnel involved in the selection and implementation of Voice AI agents include IT managers, customer service directors, and operational team leaders who seek to enhance efficiency and reduce operational costs.

Companies
254
Revenue
$3.5B
Funding
$2.3B
Employees
20.7K

Filters

Sorting: Highest -> Lowest

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Top Voice AI Agents Companies

Showing 10 of 33 companies ranked by annual revenue.

1
Speak

San Francisco, California, United States

A superhuman, AI-powered language tutor in your pocket

Revenue
$100M
Customers
-
Year founded
2016
Funding
$141M
Team size
253
Growth
566.67%
2
Yellow.ai

San Mateo, California, United States

Yellow.ai is a conversational AI platform that allows businesses to automate their customer engagement through chatbots, voice assistants, and other conversational interfaces. The platform uses natural language processing (NLP) and machine learning algorithms to provide personalized and contextual interactions with customers across various channels, including messaging apps, websites, and voice assistants.

Revenue
$79.5M
Customers
1K
Year founded
2016
Funding
$102M
Team size
969
Growth
100.25%
3
AISpeech

Jiangshan, Zhejiang, China

Developer of an end-to-end spoken dialogue system technology designed to improve human-machine interaction. The company's spoken dialogue system technology helps in speech recognition, speech synthesis, natural language understanding and voice-print recognition, enabling clients to access natural language interactive services.

Revenue
$78M
Customers
-
Year founded
2008
Funding
$186.5M
Team size
119
Growth
-
4
ASAPP

New York, NY, United States

Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences through their Contact Centers. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more. If you are interested in working with us, please send an email to [email protected]. If you're interested in learning about our job opportunities, please reach out at [email protected].

Revenue
$73.5M
Customers
-
Year founded
2014
Funding
$312.6M
Team size
402
Growth
15.84%
5
Omilia

Larnaca, Larnaca, Cyprus

At Omilia we are engaged to provide the most human-like human-to-machine communication experiences and technologies in order to help large enterprises improve the customer care experience. Starting out of a small garage, Omilia is now serving 1 billion conversations, in 30 languages, across 17 countries. With one of the fastest growing NLU solutions in the market, Omilia has been recognized as a Leader in the 2022 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms, as well as in the IDC Marketscape for Worldwide Conversational AI Software Platforms for Customer Service 2021. Our technology allows the enterprise to take advantage of Open-Question customer care with end-to-end Self-Service to greatly improve customer experience and significantly decrease operational costs. In 2016 Omilia expanded to USA and Canada, counting 33 full production deployments worldwide and case studies with proven KPIs and ROIs across various industries.

Revenue
$55.8M
Customers
-
Year founded
2002
Funding
-
Team size
372
Growth
-
6
Parloa

Berlin, Berlin, Germany

Parloa is a Conversational AI platform for automating omnichannel customer service, e.g in phone bots or chatbots.

Revenue
$50M
Customers
150
Year founded
2017
Funding
$211.9M
Team size
403
Growth
212.86%
7
interface.ai

Covina, California, United States

interface.ai is a leading provider of agentic AI solutions, specializing in serving community banks and credit unions. Its AI platform delivers a seamless, unified experience across voice, digital, and employee-assisted channels, all powered by a single AI brain that continuously learns and operates autonomously.

Revenue
$40.7M
Customers
-
Year founded
2019
Funding
-
Team size
234
Growth
-
8
Cognigy

Dusseldorf, Germany

Cognigy is the leading Enterprise Conversational AI Platform for customer & employee support process automation.

Revenue
$37M
Customers
1K
Year founded
2016
Funding
$54.8M
Team size
221
Growth
111.51%
9
PolyAI

London, England, United Kingdom

The leading provider of enterprise AI agents for customer service.

Revenue
$35M
Customers
-
Year founded
2023
Funding
-
Team size
248
Growth
250%
10
Sensi.ai

Austin, Texas, United States

Sensi is the world's first in-home 24/7 virtual care agent using audio AI technology designed to empower long-term care providers by offering insights and support for senior care.

Revenue
$29.3M
Customers
-
Year founded
2019
Funding
-
Team size
101
Growth
-

Inclusion Criteria

- Capable of engaging in natural language conversations - Can understand and respond to voice commands or queries - Must have the ability to handle a variety of customer service scenarios - Should include features for context-awareness to provide relevant responses - Must support integration with existing communication platforms - Not just a scripted FAQ bot; must also provide dynamic conversational experiences - Aimed at automating customer interactions to improve efficiency