Vonage

Vonage runs one of the largest cloud communications platforms in the world, and Deepgram provides the speech layer for AI-powered voice features built on top of it. Through Vonage Voice and the Vonage Marketplace, developers get access to Nova-3 STT and Aura-2 TTS without setting up a separate speech infrastructure.

Vonage Voice routes call audio to Deepgram for streaming STT. A Python tutorial walks through creating a Vonage application, connecting it to a Deepgram API key, and emitting real-time transcripts. The pattern works for live call transcription, agent assist, and post-call analytics.

• Speech Recognition with Vonage and Python

A joint Vonage + Deepgram proof-of-concept combines telephony, voice AI, and real-time translation in one workflow. Vonage orchestrates call setup, routing, and audio streaming through its Communications APIs while Deepgram processes both the agent's and caller's audio streams in real time, delivering low-latency speech-to-text. Translation closes the loop. The use case: cross-language customer service without standing up separate translation infrastructure.

• Vonage and Deepgram: Enabling Real-Time Translation for Contact Centers

For Vonage customers, the activation path is the Marketplace listing. For deeper integrations, the Vonage AI Studio supports Deepgram as a speech provider in conversation flows, and the Vonage Voice API streams audio to Deepgram for real-time use cases. Enterprise terms via deepgram.com/contact-us.

• Vonage partner page
• Vonage Voice API
• Vonage AI Studio
• Deepgram's Partners Drive Contact Center Transformation with Voice AI
• Deepgram documentation
• Contact Deepgram