Adding Voice AI to WebRTC applications presents unique technical challenges and user experience considerations. How do you architect systems that handle real-time audio processing, maintain conversational context, and deliver natural, responsive interactions? And how do you design interfaces that adapt to the dynamic nature of AI-powered communication?
WebRTC applications can run into problems on Kubernetes because of the many layers of NAT, which often block UDP and RTP media traffic. STUNner is a WebRTC media gateway built to fix these issues by acting as a reliable STUN and TURN server in Kubernetes environments. In
At WebRTC.ventures, we’re not just building smart real-time communication applications, we’re building them smartly. Instead of asking “How can we use AI?” we started with a better question: “What’s wasting our developers’ time and are there new tools to avoid that?” The answer led us to integrate
WebRTC gave us real-time media for the Web — but it came with complexity, workarounds and tight coupling. In this episode, we explore Media over QUIC (MOQ), a protocol designed to deliver real-time media more simply, more flexibly and without the legacy overhead. We’ll dive into how
