The most frustrating thing about speaking with a Voice AI agent is when it interrupts you, or it doesn’t understand the normal flow of human conversation. There are multiple ways to solve this depending on your use case, and coming up with the best architecture for your
Self-hosting a voice AI pipeline gives you control that managed APIs can’t offer: you choose the models, you decide where they run relative to each other, and you keep audio data within your own infrastructure. Getting there means managing GPU workloads, model placement, and service networking yourself.
Now that everyone’s back from summer break here in Madrid, it feels like the right time to recap AI Tinkerers Madrid: AI in Real-Time Communication Systems, which WebRTC.ventures sponsored and hosted this past July alongside BTS, who provided their offices and a great spread of local snacks.
