Deepgram

Deepgram provides foundational AI models for voice, offering speech-to-text, text-to-speech, and a unified Voice Agent API. Founded in 2015 by former physicists and backed by Y Combinator, the company has processed over 50,000 years of audio and transcribed more than one trillion words.

The Nova speech-to-text models deliver transcripts in under 300 milliseconds with features including speaker diarization, smart formatting, keyword boosting, and support for 36+ languages. For conversational applications, the Flux model adds built-in turn detection and natural interruption handling designed specifically for voice agents. Deepgram's Aura text-to-speech provides natural-sounding voices with sub-250ms latency across multiple languages including English, Dutch, French, German, Italian, and Japanese.

The platform serves 200,000+ developers and 400+ enterprise customers across contact centers, healthcare, conversational AI, and media transcription. Deployment options include cloud APIs, self-hosted on-premises installations, and native integrations with AWS services including Amazon Connect, Lex, and SageMaker. Deepgram maintains SOC 2, HIPAA, and PCI compliance for enterprise security requirements.

Vapi and Deepgram integrate to power production-grade voice agents with enterprise reliability. Deepgram provides both the speech-to-text and text-to-speech components within Vapi's voice AI orchestration layer, enabling developers to build complete conversational experiences through a unified stack.

The integration leverages Deepgram's Flux model for real-time transcription with native turn detection, solving the interruption handling challenges that plague voice agent implementations. When a user speaks, Deepgram processes the audio in under 300 milliseconds and intelligently detects conversation turns, allowing Vapi-powered agents to respond naturally without cutting off speakers or missing context.

For speech synthesis, Deepgram's Aura voices convert agent responses to audio with low latency and consistent quality at scale. The combination handles the full voice loop: listen, understand, and respond—all within the latency budget required for human-like conversation.

Enterprises benefit from Deepgram's flexible deployment options. Voice agents built on Vapi can use Deepgram's cloud APIs for rapid deployment or leverage self-hosted models for organizations with strict data residency requirements. With native AWS integrations and compliance certifications, Vapi and Deepgram together deliver voice AI infrastructure that meets enterprise security and scalability standards.