Case Study: Voximplant
Turn every call into a real-time, natural conversation by running voice agents on Voximplant’s global telephony, powered by Deepgram’s low-latency Voice Agent API.
Voximplant utilizes a native Deepgram Voice Agent connector within its serverless cloud communications platform, VoxEngine. VoxEngine connects calls to Deepgram’s unified listen/think/speak stack—combining STT, LLM reasoning, and TTS—while managing agent control, phone system interoperability, call control, media conversion, and telephony compliance.
The integration exposes the full Deepgram Voice Agent API (including conversation text, turn‑taking, and history) plus mid‑call controls, so teams can debug, tune, and orchestrate production Voice AI from a single scenario.
“Voice AI has advanced rapidly, but production deployment has remained challenging due to telecom complexity, latency, and limited control during live conversations. Voximplant removes these barriers by handling the real telephony and media infrastructure, while exposing Deepgram’s full Voice Agent stack for low-latency voice AI conversations”
Alexey Aylarov
Co-founder and CEO, Voximplant
Watch the demo video and learn more about this integration in the announcement, and Voximplant's blog.
