A real-time AI avatar gives a voice agent a face, and it also puts a third-party media service between your text-to-speech and the user. In a Pipecat pipeline, the avatar service receives your synthesized speech, renders the face, and sends back the audio the user hears. When
Deepgram has announced that it is acquiring Daily, the WebRTC infrastructure provider and a long-time WebRTC.ventures partner. We see this as a positive step for developers building real-time voice AI. Deepgram is an enterprise voice AI platform and one of the providers our team uses for speech-to-text
Human speech is often unstructured and messy. To keep up with real conversation, Voice AI bots must parse partial sentences, filler words, and interruptions, all without the visual cues a human listener relies on. On top of that linguistic challenge, real-world latency budgets and network conditions test
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,
