Amazon Ring, facing a surge in customer-support calls during last year’s holiday season, evaluated more than 40 AI voice vendors before choosing a relatively young startup called Vapi to handle all of its inbound phone traffic. Today, Ring routes 100% of its customer calls through Vapi’s platform — a deployment that helped the startup raise a $50 million Series B led by Peak XV Partners at a valuation of roughly $500 million post-investment, according to a person familiar with the matter.
Why Ring chose Vapi over 40 competitors
Ring turned to Vapi in mid-Q4 last year, when it was weighing whether to expand call-center capacity, rely more heavily on traditional automated phone systems, or deploy AI agents that could respond more naturally to customers, Vapi Chief Executive Jordan Dearsley told TechCrunch. Dearsley believes Ring chose Vapi because the platform offered Ring engineers granular control over how the AI agents behaved in live customer interactions — a level of customization that many off-the-shelf voice AI solutions do not provide.
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Jason Mitura, vice president of software development at Amazon Ring, confirmed that customer satisfaction scores improved after deploying Vapi’s platform and that Ring’s teams were able to tune the AI agent experience without depending on engineering resources. “A lot of AI tools promise great outcomes — Vapi has delivered on them,” Mitura said.
From an AI therapist to a billion-call platform
Vapi grew out of an unusual origin story. Dearsley built an AI therapist in 2023 for conversations during his daily walks. He and his University of Waterloo classmate Nikhil Gupta, who had previously gone through Y Combinator with productivity startup Superpowered, discovered that while few people wanted the therapy product itself, startups were increasingly interested in the low-latency voice infrastructure underneath it. That realization led them to pivot to Vapi and launch the platform publicly in 2024.
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Vapi provides tools for companies to build, deploy, and manage voice agents across customer support, lead qualification, appointment scheduling, and outbound sales. The startup says it has now handled more than 1 billion calls through its platform, with usage accelerating as enterprises move more customer interactions onto AI systems. Dearsley said Vapi currently processes between 1 million and 5 million calls a day, with enterprise customers accounting for the bulk of that volume.
Enterprise traction and the infrastructure play
In addition to Amazon Ring, Vapi’s enterprise customers include Kavak, Instawork, New York Life, UnityAI, Cherry, and Intuit. The startup also operates a self-serve developer platform that has been used by more than 1 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.
Other investors participating in the Series B round included Microsoft’s M12, Kleiner Perkins, and Bessemer Venture Partners, bringing Vapi’s total funding to $72 million. The startup is currently at an annual recurring revenue run rate in the “healthy” eight figures, an investor source told TechCrunch.
Vapi is part of a growing wave of AI voice startups that includes Sierra, Decagon, PolyAI, Bland, Retell, and ElevenLabs, as companies race to build systems capable of handling customer conversations with minimal human involvement. Dearsley said Vapi differentiates itself by focusing less on pre-packaged applications and more on the infrastructure and orchestration layer behind voice agents, particularly for enterprises that want greater control over reliability, compliance, and model behavior.
The startup currently has around 100 employees and plans to use the new funding to expand its engineering, infrastructure, and go-to-market teams. “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.”
Why this matters for the enterprise AI voice market
Vapi’s rapid ascent — from a pivot in 2024 to handling a billion calls and winning a marquee customer like Amazon Ring — signals that enterprise buyers are increasingly willing to trust AI voice systems for high-stakes customer interactions. The key differentiator appears to be control: enterprises want the ability to tune AI agent behavior without needing a team of engineers, while also maintaining reliability and compliance. Vapi’s infrastructure-first approach, rather than a packaged application model, may prove to be a sustainable competitive advantage as the market matures.
The deal also underscores the growing willingness of major tech companies like Amazon to embed startup-built AI infrastructure into their customer-facing operations, a trend that could accelerate as the cost and complexity of building proprietary voice AI systems remain high.
Conclusion
Vapi’s $500 million valuation and Amazon Ring’s full-scale deployment represent a significant validation for the thesis that enterprises want customizable, infrastructure-level AI voice solutions rather than rigid, pre-built applications. With $72 million in total funding and a billion calls processed, Vapi is positioning itself as a core layer in the emerging enterprise AI voice stack. The next challenge will be maintaining that growth as competition intensifies and enterprise expectations for reliability and compliance continue to rise.
FAQs
Q1: What does Vapi’s platform do?
Vapi provides tools for companies to build, deploy, and manage AI voice agents for customer support, lead qualification, appointment scheduling, and outbound sales. It focuses on the infrastructure and orchestration layer rather than pre-packaged applications.
Q2: How much funding has Vapi raised?
Vapi has raised a total of $72 million, including a $50 million Series B led by Peak XV Partners at a $500 million valuation. Other investors include Microsoft’s M12, Kleiner Perkins, and Bessemer Venture Partners.
Q3: Why did Amazon Ring choose Vapi over 40 other vendors?
Ring chose Vapi because the platform offered engineers granular control over AI agent behavior in live customer interactions, and customer satisfaction scores improved after deployment. Ring’s teams were able to tune the AI experience without depending on engineering resources.
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