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
- 11.4K
Top 4 Voice AI Agents SaaS Companies $100M+ Revenue (August 2026)
As of August 2026, Latka tracks 4 voice AI agents SaaS companies with $100M+ in annual revenue. They have combined revenues of $2.3B and employ 12.9K people. They have raised $1.9B and serve 150.2K customers combined.
Every company below sells voice AI agents software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Voice AI Agents SaaS Companies do
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
- 4
- Revenue
- $2.3B
- Funding
- $1.9B
- Employees
- 12.9K
Filters
Sorting: Highest -> Lowest
Top Voice AI Agents SaaS Companies $100M+ Revenue
Showing 4 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
- $866.7M
- Team size
- 866
3
Eleven Labs
New York City, New York, 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
- Year founded
- 2022
- Funding
- $881M
- Team size
- 400
- Growth
- 51.52%
4
- Revenue
- $100M
- Year founded
- 2016
- Funding
- $141M
- Team size
- 253
- Growth
- 566.67%
Frequently asked questions about Voice AI Agents SaaS Companies $100M+ Revenue
How many voice AI agents SaaS companies with $100M+ in annual revenue are there?
Latka tracks 4 voice AI agents SaaS companies with $100M+ in annual revenue. Together they generate $2.3B in annual revenue and employ 12.9K people.
Which voice AI agents SaaS company with $100M+ in annual revenue is the largest?
247 ai is the largest, with $1.2B in annual revenue, founded in 2000.
How much revenue does a typical voice AI agents SaaS company with $100M+ in annual revenue make?
The average voice AI agents SaaS company in this list makes $575M a year, across 4 companies with reported revenue. They serve 150.2K customers combined.
Who are the leading Voice AI Agents vendors with $100M+ in annual revenue?
Ranked by annual revenue, the leaders are 247 ai, Uniphore, Eleven Labs and Speak.
How much funding have voice AI agents SaaS companies with $100M+ in annual revenue raised?
The 4 voice AI agents SaaS companies with $100M+ in annual revenue tracked here have raised $1.9B in disclosed funding between them.
Related AI Agents categories
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