AI Voice Startup Vapi Raises $50M, Secures Amazon Ring as Client AI voice startup Vapi has leapt from a little-known infrastructure pivot to a half‑billion‑dollar valuation, powered by a high‑stakes bet from Amazon’s Ring division and a surge of investor confidence in enterprise-grade voice agents.

Founded in 2023 by University of Waterloo classmates Jordan Dearsley and Nikhil Gupta, Vapi began as an AI “walking companion” therapist before the founders realized demand was strongest for the ultra low‑latency voice infrastructure under the hood. They publicly launched the platform in 2024, pitching tools for companies to build and manage AI voice agents for support, sales, and scheduling.

By late 2024, Amazon Ring was under pressure from a holiday‑driven spike in support calls and weighed whether to expand call centers, upgrade legacy phone trees, or try AI agents for more natural conversations. After evaluating more than 40 vendors, Ring chose Vapi and now routes 100% of its inbound customer calls through the startup’s platform. Ring executives say customer satisfaction scores improved and praised Vapi’s “granular control” over how AI agents behave, as well as the speed of deployment: “We went from zero to production in two weeks, and 100% of our inbound volume now runs through Vapi.”

Investor interest accelerated as Vapi reported handling more than 1 billion calls, processing between 1 million and 5 million calls a day, and growing enterprise recurring revenue tenfold since its prior round. On May 12, 2026, the company announced a $50 million Series B led by Peak XV, with M12, Kleiner Perkins, and Bessemer participating, bringing total funding to $72 million and valuing Vapi at about $500 million.

From the customer side, enterprises such as Amazon Ring, Intuit, and New York Life are adopting Vapi to shift more interactions onto AI, attracted by an API‑native platform that promises “production-grade customer outcomes” rather than simple chatbot automation. Vapi, for its part, plans to spend its new capital on scaling infrastructure, improving monitoring, and offering stronger uptime guarantees as it competes to become the default voice layer for enterprise AI.

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