Vapi

Developer infrastructure for building and deploying production voice agents.

Vapi is a developer-focused voice AI infrastructure platform for building, testing, and deploying production voice agents capable of handling both inbound and outbound phone calls with sub-second latency and support for over 100 languages. Building a reliable, low-latency voice agent requires integrating speech recognition, language models, text-to-speech, and telephony infrastructure into a coherent pipeline — work that Vapi abstracts into a unified developer platform. It supports multiple LLM providers including OpenAI, Anthropic, and Groq, as well as bring-your-own-model options, giving developers flexibility in the underlying intelligence powering their agents. Vapi serves the full range from SMB to enterprise and differentiates through its developer-first design, sub-second latency performance, and broad language support, positioning it as infrastructure for teams building voice agents rather than an end-user voice agent product itself.

Compliance

GDPR HIPAA SOC 2

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Key Features

Production voice agent infrastructure: Provides the full infrastructure stack needed to build and deploy voice agents, integrating speech recognition, language understanding, and speech synthesis into a single platform.
Inbound and outbound call support: Supports both inbound and outbound phone call automation, covering the full range of voice agent use cases from customer service to outbound sales and scheduling calls.
Sub-second latency: Optimized for low-latency conversational performance, critical for voice agents to feel natural and responsive in live phone conversations.
100+ language support: Supports voice agent deployment across more than 100 languages, enabling global and multilingual use cases from a single platform.
Multi-model and BYO LLM flexibility: Works with OpenAI, Anthropic, and Groq models, as well as supporting bring-your-own-model configurations for teams with specific model requirements.
Developer-focused tooling: Provides testing and deployment tooling oriented toward developers building and iterating on voice agents, rather than a no-code interface for non-technical users.

Use Cases

For developers building customer-facing voice agents: A company building an AI phone agent for customer support or sales uses Vapi as the underlying infrastructure to handle calls, speech processing, and language model integration without assembling these components separately.
For businesses running automated outbound calling campaigns: A company running outbound calling for appointment reminders, lead qualification, or surveys uses Vapi’s outbound call infrastructure to automate the calling process at scale.
For multilingual or global voice agent deployments: A company serving customers across many countries uses Vapi’s 100+ language support to deploy voice agents that can serve a global customer base from a single platform.

Pricing MODELS

Usage-based

Pricing Summary

Vapi uses usage-based pricing at $0.05 per minute for outbound calls and $0.10 per minute for inbound calls, with custom enterprise pricing for larger deployments. Pricing is publicly listed on their website.