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Vapi

Voice AI platform for building and deploying voice agents at scale.

Vapi

What it does

Vapi is a voice AI platform that enables developers and enterprises to build, test, and deploy voice agents quickly. It provides an API-first approach with orchestration, real-time monitoring, and enterprise-grade configurability. The platform supports multiple languages, integrates with various tools, and offers features like AI guardrails, SSO, OAuth, RBAC, and compliance with SOC 2, HIPAA, and PCI. Vapi claims sub-500ms latency and 99.9% uptime for enterprise clients.

Who it is for

Vapi is designed for developers and enterprises that need to deploy voice agents at scale. It is used by companies like Amazon Ring, Intuit, ServiceTitan, New York Life, Kavak, GoHealth, Instawork, and Unity AI. Use cases include customer support, lead qualification, appointment scheduling, outbound selling, and inbound support.

Why it matters

Voice AI can transform customer interactions by providing fast, high-quality support. Vapi enables organizations to go from zero to production in weeks, handling millions of calls per month. For example, Amazon Ring went from zero to production in two weeks and now runs 100% of inbound volume through Vapi, with improved CSAT scores. Kavak reached profitability in Mexico by serving twice the customers while maintaining service quality. Instawork handles over 1 million calls per month across dozens of use cases.

Launch signal

Vapi has raised a $50M Series B to power enterprise voice AI. The platform has supported over 1 billion calls, launched 2.5M+ agents, and has 750K+ developers. It has 23 reviews on Product Hunt with a 4.9 rating and 1.4K followers. The company is trusted by Fortune 100 companies and has case studies with major brands.

Brand and naming

The name "Vapi" is short, memorable, and suggests "voice API." It positions the product as a developer-friendly tool that abstracts complexity. The branding emphasizes speed, scale, and enterprise readiness, with a clean, modern design and a focus on outcomes like "speak human to every customer."

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