Vapi raises $50M Series B to scale voice AI platform handling over 1 billion calls

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San Francisco-based Vapi has secured $50 million in Series B funding led by Peak XV to expand its enterprise voice-AI platform. The company now supports over 1 million developers and has processed more than 1 billion calls through voice agents built on its infrastructure. Major customers including Amazon Ring, Intuit, and New York Life are using the platform to automate customer service and improve satisfaction scores.

Vapi Secures $50M Series B Funding to Scale Voice AI Infrastructure

Vapi, the San Francisco-based enterprise voice-AI platform, has closed a $50 million Series B funding round led by Peak XV, with participation from M12 (Microsoft's Venture Fund), Kleiner Perkins, Bessemer Venture Partners, and existing investors

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. The investment brings the company's total funding to $72 million and positions it to scale voice-agent infrastructure that has already processed over 1 billion calls

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. The platform now supports more than 1 million developers and has enabled the creation of 2.7 million unique voice agents, demonstrating significant adoption across enterprise customers

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Source: SiliconANGLE

Source: SiliconANGLE

The company reports growing its enterprise annual recurring revenue tenfold since its previous funding round, with major customers including Amazon Ring, Intuit, New York Life, Kavak, Instawork, UnityAI, and Cherry

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. This rapid growth reflects increasing demand for voice AI solutions that can handle high-volume customer interactions while maintaining quality standards.

Building and Managing Voice Agents Without Engineering Overhead

Vapi's voice AI infrastructure functions as middleware connecting AI models from OpenAI and Anthropic to voice-to-text and text-to-voice engines, enabling low-delay responses with interruptability that makes conversations feel natural

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. The API-native platform allows teams to build, deploy, and manage voice agents without requiring engineering involvement in configuring agent behavior

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. This approach reduces deployment time significantly, as demonstrated by Amazon Ring's experience.

Jason Mitura, vice-president of software development at Ring, explained that the company evaluated dozens of vendors before selecting Vapi. "We went from zero to production in two weeks, and 100% of our inbound volume now runs through Vapi," Mitura said, noting that customer-satisfaction scores improved following deployment

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. Ring uses the platform to handle inbound customer support calls about its smart-home security devices, replacing traditional call center operations.

Enterprise Adoption to Automate Customer Service Across Industries

The platform supports diverse use cases including inbound customer service, outbound collections, candidate screening, sales coaching simulations, and autonomous navigation of third-party IVR systems

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. Vapi has found its strongest traction in financial services, healthcare, insurance, automotive, and workforce management sectors, where high-volume call handling and consistent customer experience are priorities

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Co-founder and CEO Jordan Dearsley emphasized that the company's focus extends beyond simple chatbot automation. "Most businesses have spent decades of time and effort, only to make their customer experience worse," Dearsley said. "Vapi gives teams the platform to deploy voice agents that actually solve problems for customers, millions of them, every day"

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. The company cited industry estimates indicating nearly $3 trillion of global sales are at risk in 2026 from poor customer experience, alongside a 2% drop in customer-satisfaction scores since 2022 .

Product Roadmap Focuses on Enterprise-Grade Reliability

Vapi's next development phase will concentrate on uptime guarantees, predictable latency under load, call-level monitoring, guardrails to keep agents within defined boundaries, and escalation paths to human operators

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. These features address critical enterprise requirements for production-grade deployments at scale. The emphasis on interruptible responses and low latency positions the platform to handle natural conversation flows that feel human rather than robotic

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Arnav Sahu, partner at Peak XV, outlined the investment thesis: "Vapi has built a differentiated self-serve product for developers and enterprises in the massive voice-AI revolution. In 10 years, it's likely most calls will not have a human behind the phone. With its bottom-up, PLG approach, we believe Vapi is the next Zapier and N8N for voice-AI workflows"

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. This perspective suggests voice AI will become infrastructure-level technology, with Vapi positioned as the integration layer enabling businesses to orchestrate voice-based workflows.

Co-founders Jordan Dearsley and Nikhil Gupta, who met at the University of Waterloo and previously built a Y Combinator-backed calendar product, started Vapi in mid-2023 when Dearsley created a voice-based AI walking companion

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. While that product didn't gain traction, the latency-optimized infrastructure became the foundation for Vapi, which launched publicly on Product Hunt in March 2024

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. The rapid evolution from experimental project to billion-call platform illustrates both the founders' technical capabilities and market demand for production-ready voice AI solutions.

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