How many times a day do you talk to a computer? We’re not referring to the exasperated exclamation you direct at your laptop when it overheats and crashes. We want you to think about the moments you speak to a device and it actually listens.
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
A practical guide to running a compliant voice AI stack on Voximplant: EU data residency, compliance documentation, and what to verify at each layer — telephony, LLM, STT, and TTS
Voximplant now includes a native MCP Client for VoxEngine, giving developers direct connectivity to any MCP server and full control over every tool call
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 includes a native Cartesia module for streaming, low-latency text-to-speech (TTS). You can use a single VoxEngine API to synthesize speech in real time, connect it to any call (PSTN, SIP, WebRTC, WhatsApp) and control playback from a Large Language Model (LLM) or other source, all inside VoxEngine.
Voximplant now includes a native Grok module that connects any Voximplant call to xAI’s Grok Voice Agent API for real-time, speech-to-speech conversations. With a single VoxEngine scenario, you can interact via audio with Grok over phone numbers, SIP trunks and infrastructure, WhatsApp Business, or WebRTC into Grok — all without building custom media gateways or WebSocket streaming infrastructure.