In collaboration with the AVA team, WebRTC.ventures integrated fully interactive, LLM-powered Virtual Agents into multiple video conferencing platforms, including Microsoft Teams, Zoom, and Google Meet. These Virtual Agents engage like real colleagues and, through integration with multi-agent platforms, can autonomously execute tasks and connect seamlessly within the broader AI ecosystem.
“Real-time voice AI only works when infrastructure makes latency feel invisible. For us, that meant changing the shape of our WebRTC deployment without changing what clients expect from WebRTC itself.” A firsthand look at how OpenAI rearchitected their entire WebRTC stack for global scale, straight from Yi Zhang,
Choosing to go open source over a CPaaS for your WebRTC media stack is a strategic decision about control, flexibility, and long-term ownership. For teams building real-time products, an open source WebRTC media server can offer the freedom to customize media handling, integrate deeply with your architecture,
We built a Live Sales AI Presenter to model what a real-time AI avatar system looks like when it operates inside a real workflow rather than a demo sandbox. It is a slide-aware AI sales presenter combining deck ingestion, presentation control, live Q&A, WebRTC media, Pipecat orchestration,
