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Tavus
Tavus is an AI-native company in —, based in United States. Shown below: 1 tool, 8 models.
- Employees
- 40
- Valuation / employee
- $7.50M
- Tools
- 1
- Listed models
- 8
- Listed papers
- 1
Figures and classifications reflect imported catalog records, not live company reporting.
Tools
1 in the catalog
Models
8
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Sparrow 2 Gen 4 Audio
An audio native, streaming first, multilingual conversational understanding model. It jointly models semantics, prosody, speaker identity, backchannels, interruptions, and the full acoustic scene rather than relying on…
- Voice agents
- Voice chatting
- Voice detection
- Voice enhancement New
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Phoenix 4 Gen 3 Multimodal
Tavus’ real-time human rendering model that generates continuous facial behavior with controllable emotional expression and active listening cues.
- Conversational avatars
- Virtual girlfriend
- Message rephrasing
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Sparrow 1 Gen 4 Audio
Tavus’s multilingual audio-native model for conversational timing, predicting who holds the floor and when to listen, wait or speak so real-time voice agents match human turn-taking instead of relying on silence thresho…
- Private conversations
-
Raven 0 Gen 3 Multimodal
Tavus’ real-time perception model that continuously interprets what it sees to add visual context and understanding to live AI conversations.
- Chatting
- Videos
- Logos
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Phoenix 3 Gen 3 Multimodal
Tavus’ full-face real-time rendering model for hyper-realistic conversational avatars with persistent identity and continuous facial expression.
- Conversational avatars
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Sparrow 0 Gen 3 Multimodal
Tavus’ conversational timing model that manages turn-taking so voice and video agents speak, pause, and listen with more natural cadence.
- Chatting
- Text to speech
- SEO content
- Image collage creation
-
Phoenix 2 Gen 4 Video
Tavus’ next Phoenix research model that shifts the avatar rendering backbone toward 3D Gaussian Splatting to improve speed and controllability for talking head generation.
- Avatars
- Videos
- Workflows
-
Phoenix 1 Gen 3 Video
Tavus’ early Phoenix research model for realistic avatar generation, using 3D reconstruction and high fidelity rendering to create lifelike replicas from short videos.
- Code explanations
- Text to speech
- Pet avatars
In the catalogs
1
Papers
- Trajectory-Optimized Time Reparameterization for Learning-Compatible Reduced-Order Modeling of Stiff Dynamical Systems Stiff dynamical systems present a challenge for machine-learning reduced-order models (ML-ROMs), as explicit…
Source rankings
Imported positions; not an independent quality score.
- Overall Rank#1029
- AI Native Rank#468
- Rank#523