The rapid adoption of AI-powered customer support technologies is driving significant momentum across the enterprise software and voice automation market. In one of the latest developments within the AI infrastructure space, an AI voice startup Vapi has reached a valuation of approximately $500 million. The funding comes after the startup secured a major enterprise deployment with Amazon Ring, which now routes all inbound customer support calls through Vapi’s platform.
According to the report, Amazon Ring evaluated more than 40 AI voice vendors while managing a surge in customer support demand during the previous holiday season. The company ultimately selected Vapi after assessing options that included expanding call-centre capacity, relying on traditional automated phone systems, or implementing AI-driven voice agents capable of more natural customer interactions.
Jordan Dearsley stated that Ring chose the platform largely because it offered engineers granular control over how AI agents behaved during live customer interactions. The platform’s infrastructure-focused approach enabled greater flexibility in configuring voice agents to align with enterprise requirements around customer experience, reliability, and operational control.
Jason Mitura said Ring’s customer satisfaction metrics improved after deploying the platform, while internal teams were able to refine AI agent experiences without engineering dependency. “A lot of AI tools promise great outcomes — Vapi has delivered on them,” he said.
Founded by Jordan Dearsley and Nikhil Gupta, both former classmates at the University of Waterloo, the company originated from an AI therapist project developed in 2023. While the original product saw limited traction, demand quickly emerged for the low-latency voice infrastructure powering the application. This shift led the founders to pivot towards Vapi and officially launch the platform in 2024.
The company now provides tools that allow businesses to build, deploy, and manage AI-powered voice agents across customer support, appointment scheduling, lead qualification, and outbound sales operations. As enterprises continue integrating AI systems into customer engagement workflows, demand for scalable voice infrastructure platforms has accelerated significantly.
According to the company, Vapi has processed more than one billion calls through its platform to date, with current daily call volumes ranging between one million and five million interactions. Enterprise clients account for the majority of this activity, reflecting growing adoption among large-scale organisations seeking AI-led automation solutions.
Alongside Amazon Ring, Vapi’s enterprise customer base includes Kavak, Instawork, New York Life, Intuit, UnityAI, and Cherry. The startup also operates a self-serve developer platform that has reportedly been used by more than one million developers.
“Because we started from self-serve and had such a wide developer footprint, we were already battle-tested at significant scale before we signed our first major enterprise customer,” Dearsley said.
Additional participants in the Series B funding round included M12, Kleiner Perkins, and Bessemer Venture Partners, bringing the company’s total funding to $72 million. According to the report, Vapi is currently operating at an annual recurring revenue run rate within the healthy eight-figure range.
The startup is part of a rapidly growing segment of AI voice companies competing to transform customer interactions through automation. Industry players in this space include Sierra, Decagon, PolyAI, Bland, Retell, and ElevenLabs. Vapi differentiates itself by focusing less on packaged applications and more on the infrastructure and orchestration layer behind enterprise voice agents, particularly for organisations prioritising compliance, reliability, and behavioural control.
The company currently employs around 100 people and plans to utilise the new funding to strengthen its engineering capabilities, infrastructure, and go-to-market operations.
“The golden problem is taking this indeterminate beast that is a model and taming it,” Dearsley said. “If you can do that, then you can provide value to the world.”
