One of the biggest challenges in building real-time AI voice agents is the delay between when a user finishes speaking and when the system responds, known as latency. Even small delays in a Voice AI application can disrupt the natural flow of conversation and harm your user
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
