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High Tech Series B Founded 2020

Vapi

Vapi is a voice AI platform that enables developers to build, test, and deploy voice agents for call automation. The platform provides an AI-powered virtual assistant API with natural language processing, knowledge retrieval, contextual awareness, multi-turn dialogue, and customizable personality. Vapi handles infrastructure including orchestration, real-time monitoring, and enterprise-grade configurability,…

📍 San Francisco, United States · AI Infrastructure,

Funding snapshot

Last roundSeries B
Amount$50M
Date26 February 2026
Total raised$75M
Valuation500,000,000 (May 12, 2026)
Team size121

About

Vapi is a voice AI platform that enables developers to build, test, and deploy voice agents for call automation. The platform provides an AI-powered virtual assistant API with natural language processing, knowledge retrieval, contextual awareness, multi-turn dialogue, and customizable personality. Vapi handles infrastructure including orchestration, real-time monitoring, and enterprise-grade configurability, allowing teams to go from prompt to production in minutes. The platform supports customer support, lead qualification, and appointment scheduling use cases with sub-500ms latency, SOC 2, HIPAA, and PCI compliance. Vapi powers over 2.5 million agents launched by 750,000+ developers, supporting 1 billion calls with 99.9% uptime for enterprise clients. Founded in 2020 and headquartered in San Francisco, Vapi has raised approximately $75.2 million at the Series B stage from investors including Kleiner Perkins, Bessemer Venture Partners, Peak XV Partners, M12, Y Combinator, Abstract Ventures, AI Grant, and Saga Ventures.

Business model

Chatbots > Chatbot Development > Conversational AI Development > Low Code Platform > Voice Assistants,

AI Infrastructure > Natural Language Processing > Conversational AI

Team background

College Wise > University of Waterloo

Institutional investors

Bessemer Venture Partners Abstract Ventures AI Grant Y Combinator Saga Ventures Peak XV Partners M12 Kleiner Perkins avra Michael Ovitz

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