
Introducing Voximplant integration with Ultravox.ai
The new integration enables instant connection of any Voximplant call to an Ultravox agent, delivering seamless voice-to-voice conversations.

The new integration enables instant connection of any Voximplant call to an Ultravox agent, delivering seamless voice-to-voice conversations.

New integrations for Voice AI have arrived: Google's Gemini 2.0 Flash model, featuring seamless voice-to-voice conversation capabilities and ElevenLabs low-latency streaming speech synthesis are now available for Voximplant developers

OpenAI has recently announced GA version of their Realtime API that Voximplant now fully supports

New Features in Voximplant Kit: Update overview. We are constantly working to improve our product to make it easier to use and more effective for you. In this update, we have added several useful features. Here’s what’s new:

Voximplant has added Secrets, a dedicated credential store for API keys, tokens, and other sensitive values that VoxEngine scenarios need at runtime

Check out the latest useful Voximplant Kit updates — we developed chat analytics, improved call history, added new tools for supervisors, expanded scenario capabilities, and updated the softphone. Below is a brief overview of the essential enhancements.

Connect any Voximplant call to ElevenLabs Conversational AI agents

Voximplant now includes a native Cartesia Line / Agents connector that connects any Voximplant call to a Cartesia Line voice agent for real-time, speech-to-speech conversations—over PSTN, SIP, WebRTC, or WhatsApp Business Calling—without building custom media gateways or WebSocket streaming infrastructure.

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.