The human interface for AI

Build real-time, life-like AI agents that can see, hear, respond, and even look like us. We call them PALs.

Watch your virtual | come to life

PALs deliver the most natural real-time, conversational video AI experience, powered by multimodal research models.

It looks like a human.

Lifelike rendering with real expression and micro-motion.

It knows when to speak.

Expressive, human-like speech that flows like a natural conversation.

It sees and hears you.

Your PAL sees what is in frame and reacts to the context.

It remembers you.

Every prior conversation carries forward, so trust compounds.

AI that can work like humans do

Giving your PALs all the tools to make for interactive experiences.

Four models, working in sync.

One seamless conversation.

Tavus unifies turn-taking, rendering, perception, and speech in real time, so every interaction feels immediate, aware, and natural.

Best-in-class TURN-TAKING

Sparrow is the #1 conversational understanding model on the market, built to understand not just what someone says, but when to listen, wait, speak, and respond. It understands the entire audio scene - including pauses, interruptions, backchannels, multiple speakers, and background noise - to make AI conversations feel more naturally human.

Best-in-class rendering

Phoenix is the most natural and realistic human rendering model on the market, designed to generate lifelike faces, expressions, gestures, and upper-body movement in real time. It can render entirely new identities zero-shot from a single image, making photorealistic conversational AI faster and easier to create than ever before.

Best-in-class perception

Raven is a new type of 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.

Unlocking AI for everyone

Start with a PAL of your own, or bring us the problem and we will build it with you.

Create a PAL and deploy it into action