
VoxImplant has been launched! Expecting first great apps and integrations soon
Voximplant has been officially launched!

Voximplant has been officially launched!

The announcement of the official launch at Telecom Council conference.

How Jev and other decision models help LLM voice bots with topic routing, turn detection, barge-in, form filling, action checks and model choice.

Voximplant AI Agent Skills let your coding agent build and ship voice applications without switching tools

Voximplant now includes a native Deepgram module that connects any Voximplant call to Deepgram’s Voice Agent API for real-time, speech‑to‑speech conversations. You can stream audio from phone numbers, SIP trunks, WhatsApp, or WebRTC into Deepgram’s unified agent environment—combining STT, LLM reasoning, and TTS—and play responses via Voximplant’s serverless runtime with minimal latency.

Connect any OpenAI-compatible text LLM to your voice AI pipeline in VoxEngine via Chat Completions or Responses API. Set baseUrl to any provider or your own deployment, including EU endpoints for data residency

Voximplant now includes a native MCP Client for VoxEngine, giving developers direct connectivity to any MCP server and full control over every tool call

Voximplant has added a WebSocket privacy option that redacts message payloads from logs across all WebSocket-based services – Voice AI connectors and external speech system – and speech control modules

Use Realtime API in VoxEngine to build speech-to-speech voice AI with data residency control. Set baseUrl to any OpenAI Realtime-compatible endpoint, including Azure EU deployments, and control where call audio is processed

Voximplant now lets developers build full-cascade voice AI pipelines in VoxEngine without sacrificing turn-taking quality.