1
247 ai
San Jose, California, United States
customer engagement solutions powered by artificial intelligence.
- Revenue
- $1.2B
- Customers
- 150
- Year founded
- 2000
- Funding
- $22M
- Team size
- 9.6K
- Growth
- -
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.
Filters
Sorting: Highest -> Lowest
Top Voice AI Agents Companies
Showing 10 of 4 companies ranked by annual revenue.
2
Uniphore
Palo Alto, California, United States
Uniphore is the Business AI Company for the agentic enterprise. The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
- Revenue
- $500M
- Customers
- 150K
- Year founded
- 2008
- Funding
- $606.7M
- Team size
- 866
- Growth
- 463.33%
3
Eleven Labs
London, England, United Kingdom
Research Lab: Exploring new frontiers of voice generation. We are dedicated to researching and implementing innovative techniques in voice artificial intelligence (AI) to enhance the appeal of content across different languages and voices. Our goal is to reach new audiences and viewers by ensuring a more immersive and engaging experience.
- Revenue
- $500M
- Customers
- -
- Year founded
- 2022
- Funding
- $381M
- Team size
- 580
- Growth
- 51.52%
4
- Revenue
- $100M
- Customers
- -
- Year founded
- 2016
- Funding
- $141M
- Team size
- 253
- Growth
- 566.67%
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