Tavus: The Human Computing Company
Phoenix-4.5 is here: The fastest and most expressive real-time human rendering model on the market.
Select an Account Type
Choose how you want to experience Tavus. Whether you’re building with our APIs or meeting a PAL, you can switch anytime.
Developer Account
Build real-time, human-like AI experiences using Tavus APIs and tools.
Best for developers, founders, and teams integrating Tavus into a product.
PALs Account
Meet your personal AI companions who listen, remember, and are always present.
Best for individuals looking to talk, explore, and connect with a friend.
You’ve never met AI like this.
Human-like AI that can see, hear, act, and emotionally understand us, all in real-time. We call them PALs.
MEDIA
Charlie Cinematic Video
Powering 100,000+ developers and the world's most forward-thinking companies
What if you could talk to your computer like a friend?
Pioneering human computing since 2020
Tavus is an AI research lab pioneering Human computing: a future where using a computer feels as natural as talking to a friend or coworker. We build foundational models that teach machines the art of being human: to look, see, hear, understand, remember, and respond with emotional intelligence. The result is a new kind of computing that feels instinctive, alive, and deeply human, unlocking AI assistants, companions, sidekicks, and coworkers we can trust, connect with, and collaborate alongside.
Models
We build models to teach machines to see, hear, understand and even look human. We give machines presence and EQ, allowing them to understand you deeply, and in turn, building trust and connection with them.
Rendering
Phoenix [4.5]
Phoenix-4.5, the most natural and realistic human rendering model on the market, designed to give AI a face, presence, and emotional range. The A gaussian-diffusion based model synthesizes high-fidelity facial behavior in real time, with contextually accurate emotions, expressions, and movement.
The Eyes and Ears
Raven [1]
Raven-1, our multi-modal perception model, giving machines the ability to see, hear, and understand in real-time. It translates facial expressions, tone, gaze, emotion, and environmental context into rich conversational signals, helping your AI respond with empathy, awareness, and intent.
The Rhythm
Sparrow [2]
Sparrow-2 is our real-time conversational understanding model, built for natural conversational flow in noisy, multi-speaker environments. It models semantics, prosody, speaker identity, backchannels, interruptions, background speech, noise, and unclear audio to determine when to listen, wait, speak, or continue speaking.