Tavus just unveiled Griffin, a full-duplex human interaction model that holds real-time video calls with lifelike expressions and gestures. Unlike turn-based bots, it watches and listens simultaneously, nodding mid-sentence or reacting to pauses, tricking 48% of live study participants into thinking it was human. Griffin-Lite is currently available to early testers.
Tavus just released Phoenix-4.5, a real-time human rendering model that cuts audio-to-video latency to 134ms. Instead of pasting a 512×512 face onto static footage, it renders the full upper body in a single pass with synchronized head, shoulder, and torso movements, plus zero-shot rendering in about a minute.
Tavus just launched PAL Maker, a no-code platform that lets anyone build interactive AI video companions simply by describing them to a creator agent named Charlie. Powered by models like Raven-1 and Phoenix-4, the avatars come equipped with faces, voices, vision, and long-term memory. Why it matters: It lowers the barrier of digital human creation to a casual chat, already serving roles from post-surgery check-ins to candidate screening.
Tavus just launched Raven-1, a multimodal perception system that reads tone, facial expressions, and body language alongside spoken words. Instead of sorting feelings into rigid boxes like happy or sad, it generates descriptive natural language with context updated every 300ms. Why it matters: It stops conversational AI from relying on flat text transcripts, helping agents catch sarcasm and hesitation in real time.
Tavus just unveiled Phoenix-4, a real-time human rendering engine that generates full-head motion with millisecond latency and explicit emotion control. Instead of relying on looped video clips and frozen expressions, it actively listens, nods, and shifts moods along with the conversation. Conversational digital humans are finally ditching the uncanny valley.
Tavus just rolled out Hummingbird-0 on fal as a research preview, touting it as the most accurate zero-shot lipsync model they have tested across open and closed source. The release aims to deliver significantly cleaner, more convincing video dubbing and talking heads without extensive fine-tuning.
Tavus just launched three AI models—Phoenix-3, Raven-0, and Sparrow-0—designed to make video avatars feel human. The trio tackles micro-expressions, visual perception, and conversational turn-taking, cutting awkward dialogue pauses. They are now available via API, backed by a demo agent named Charlie that talks, sees, and searches.
Tavus just launched its Conversational Video Interface, enabling developers to build digital twins that can see, hear, and talk in real time with under one second of latency. The setup is fully white-labeled and modular, letting developers swap out their own LLM and TTS components. It basically brings ultra-low-latency, face-to-face video AI agents to any app.
