Tavus is releasing Phoenix-4.5, the newest version of its real-time human rendering model that powers the digital replicas, or "pals," inside its Conversational Video Interface, a stack developers use to build AI agents that speak, see, and hear in live face-to-face conversation . It is aimed at teams building tutors, healthcare intake, and companion products where an on-screen person has to hold attention through a full session, not just a demo clip. This launch matters because it is the first Phoenix model that can render a new identity zero-shot, showing a usable preview immediately while fine-tuning finishes in the background in roughly two hours instead of four.
The technical shift is a rebuild of the renderer. Phoenix-4 relied on a 3D Gaussian splatting approach focused on the face , while 4.5 is a GAN-based network trained to generate more of the person at once, extending movement through the shoulders and torso and removing the seam artifacts that appeared when motion pushed past the facial region. It also handles the messy parts of real appearance that broke earlier models, including long hair falling over shoulders, glasses, earrings, and headbands, so people no longer have to change their look to get a clean replica.
Tavus was founded in 2020 and is led by CEO Hassaan Raza and COO Quinn Favret , with backers including Sequoia, Scale, Y Combinator, and HubSpot . Phoenix-4.5 slots in alongside the company's Raven perception model and Sparrow turn-taking model as the visual layer of that stack, and it is the piece most directly responsible for whether a conversation with an AI agent feels like talking to a present person or watching a puppet.
Comments (13)
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Nadia FolauSep 11, 2026
The launch video is doing a lot of heavy lifting with those slow zooms on the eye twitches. Whoever edited this knew exactly which micro-expression to sell.
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Pritam GhoshSep 11, 2026
Fastest and most expressive real-time human rendering on the market is a bold claim to drop without a side by side. Where is the comparison reel?
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Tomasz W.Sep 11, 2026
Real-time is doing so much work in that sentence. What is the actual end to end latency on a mid tier GPU, not a lab rig?
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rooneymakSep 11, 2026
Upper body movement is cute until it starts gesturing with its hands during my 1:1 and I have to fire it.
Y
Yusuf BerkSep 11, 2026
Before I let this near a customer call I need SOC2 Type 2, SSO via Okta, and a straight answer on where the video frames get processed. Anything less and procurement bounces it.
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Sveta MirovSep 11, 2026
If pricing is per rendered minute this destroys margins for any always-on use case. Curious if they moved to a seat model or kept it usage based.
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Linh N.Sep 11, 2026
Genuine question from someone new to this space: if it renders in real time, what happens when my wifi hiccups mid sentence? Does the face just freeze mid smile?
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Corbin V.Sep 11, 2026
Every avatar demo looks incredible in the sizzle reel and then falls apart the second you ask it to say a word with three syllables. I will believe Phoenix-4.5 when I can prompt it live.
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Ada OkonkwoSep 11, 2026
Curious what the training data looks like for the upper body extension. Is this a diffusion prior stitched onto the face model or a joint architecture?
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Mariella F. PrietoSep 11, 2026
The thumbnail choice is chef's kiss, that half smile is uncanny in the good way. Someone on the marketing team earned their coffee this week.
D
Deepak ShroffSep 11, 2026
Been shipping an AI sales coach for six months and every time Tavus drops something I have to rewrite my roadmap. Three weeks out from launch, allegedly.
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Hale VaronenSep 11, 2026
The tweet copy got cut off mid flex which is honestly the most human thing about this launch.
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Junpei DoeSep 11, 2026
We had something like this in a 2019 hackathon that puppeteered faces from webcam. Fun times, though ours could not do shoulders admittedly.
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Tavus is releasing Phoenix-4.5, the newest version of its real-time human rendering model that powers the digital replicas, or "pals," inside its Conversational Video Interface, a stack developers use to build AI agents that speak, see, and hear in live face-to-face conversation . It is aimed at teams building tutors, healthcare intake, and companion products where an on-screen person has to hold attention through a full session, not just a demo clip. This launch matters because it is the first Phoenix model that can render a new identity zero-shot, showing a usable preview immediately while fine-tuning finishes in the background in roughly two hours instead of four. The technical shift is a rebuild of the renderer. Phoenix-4 relied on a 3D Gaussian splatting approach focused on the face , while 4.5 is a GAN-based network trained to generate more of the person at once, extending movement through the shoulders and torso and removing the seam artifacts that appeared when motion pushed past the facial region. It also handles the messy parts of real appearance that broke earlier models, including long hair falling over shoulders, glasses, earrings, and headbands, so people no longer have to change their look to get a clean replica. Tavus was founded in 2020 and is led by CEO Hassaan Raza and COO Quinn Favret , with backers including Sequoia, Scale, Y Combinator, and HubSpot . Phoenix-4.5 slots in alongside the company's Raven perception model and Sparrow turn-taking model as the visual layer of that stack, and it is the piece most directly responsible for whether a conversation with an AI agent feels like talking to a present person or watching a puppet.
Comments (13)
The launch video is doing a lot of heavy lifting with those slow zooms on the eye twitches. Whoever edited this knew exactly which micro-expression to sell.
Fastest and most expressive real-time human rendering on the market is a bold claim to drop without a side by side. Where is the comparison reel?
Real-time is doing so much work in that sentence. What is the actual end to end latency on a mid tier GPU, not a lab rig?
Upper body movement is cute until it starts gesturing with its hands during my 1:1 and I have to fire it.
Before I let this near a customer call I need SOC2 Type 2, SSO via Okta, and a straight answer on where the video frames get processed. Anything less and procurement bounces it.
If pricing is per rendered minute this destroys margins for any always-on use case. Curious if they moved to a seat model or kept it usage based.
Genuine question from someone new to this space: if it renders in real time, what happens when my wifi hiccups mid sentence? Does the face just freeze mid smile?
Every avatar demo looks incredible in the sizzle reel and then falls apart the second you ask it to say a word with three syllables. I will believe Phoenix-4.5 when I can prompt it live.
Curious what the training data looks like for the upper body extension. Is this a diffusion prior stitched onto the face model or a joint architecture?
The thumbnail choice is chef's kiss, that half smile is uncanny in the good way. Someone on the marketing team earned their coffee this week.
Been shipping an AI sales coach for six months and every time Tavus drops something I have to rewrite my roadmap. Three weeks out from launch, allegedly.
The tweet copy got cut off mid flex which is honestly the most human thing about this launch.
We had something like this in a 2019 hackathon that puppeteered faces from webcam. Fun times, though ours could not do shoulders admittedly.