Building a telehealth platform starts with a video call, scheduling, and a patient portal, and those follow established engineering patterns. The harder engineering comes from healthcare regulation. Each rule that governs a remote visit becomes a requirement the software has to meet. The platform has to know
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
WebRTC was built for browsers, but many WebRTC connections now run through server programs, for example SFUs, gateways, cloud gaming, recording, or AI agents that join calls. Without a browser to handle the connection, each of these programs needs its own WebRTC implementation, usually a library built
