Vapi
Vapi is a developer-first API platform for building and deploying AI voice agents that can make and receive phone calls with low latency and configurable voices.
Best for: Developers and technical GTM teams building custom AI calling workflows, appointment setters, or inbound voice agents without managing telephony infrastructure.
Vapi provides the infrastructure layer for AI voice: telephony, speech-to-text, LLM routing, and text-to-speech assembled into a single API that developers call to spin up voice agents. AI voice as a product category is genuinely new, with meaningful commercial adoption accelerating from 2024 onward, and Vapi is positioned as the infrastructure provider rather than a packaged sales dialer. Builders connect their own LLM prompts, choose voice providers such as ElevenLabs or Deepgram, and define call flows, meaning the final agent behavior is determined by what the builder configures.
In a GTM stack, Vapi enables use cases ranging from AI-powered outbound prospecting calls to inbound lead qualification and scheduling. Teams evaluate it against Bland AI and Retell AI, which occupy the same developer-focused AI voice infra space, and against higher-level packaged tools like AirCall's AI features or Dialpad AI for teams that want less configuration. The tradeoff is clear: Vapi gives more flexibility and lower per-minute cost at the expense of requiring engineering resources to build the agent experience.
Articles mentioning Vapi
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Frequently asked questions
What is Vapi and what can it be used for?
Vapi is an API platform for building AI phone call agents; common use cases include outbound prospecting, inbound lead qualification, appointment booking, and customer support automation.
How does Vapi compare to Bland AI?
Both are developer-focused AI voice infrastructure platforms; buyers typically compare them on latency, supported voice providers, pricing per minute, and the quality of their documentation and SDKs.
Who should not use Vapi?
Non-technical sales or marketing teams without developer resources should look at packaged AI dialer products instead; Vapi requires meaningful engineering work to configure and maintain a production-quality voice agent.