Building the most realistic AI humans on earth
Our team works at the intersection of computer vision, speech synthesis, and accessibility. From photorealistic avatar generation to sign language AI to document-to-video pipelines, we publish our work here.
Core Research Areas
Fidelity
Our research focuses on generative models that produce avatars indistinguishable from real people, down to micro-expressions, body language, and physiological detail.
Interactivity
We are building interactive video where avatars don't just speak. They listen, perceive, and react, with narrative and behavior changing based on user input.
Agency
We are building the engine for fully autonomous multi-modal generation. A platform that ingests raw materials and independently produces video, audio, and structured text.
Sign Language AI Generation
Generating sign language directly from text and speech. No human signer required. A new approach to making video content accessible at scale.
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We built the most realistic AI avatars to date
Every avatar is fully AI-generated. Our second-generation neural engine produces natural eye movement, micro-expressions, and accurate lip-sync across languages.
Explore our research in AI systems that understand and simulate human interaction
NEO 2: Real-time neural engine for micro-expressions
Cross-lingual lip-sync that matches mouth movements to any spoken language. Phoneme mapping, jaw dynamics, and facial coordination in a single forward pass.
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Multi-Person AI Scenarios: Beyond single subjects
Multiple AI-generated characters interacting in a shared scene. Coordinated gaze, emotional responses, and natural turn-taking across up to four avatars simultaneously.
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Content to Course: Automated curriculum generation
An automated pipeline from unstructured documents to structured video. The system extracts key concepts, generates scripts, and produces avatar-presented segments.
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Prompt-to-Avatar: Describing human appearance
End-to-end video generation from a text prompt. The model handles script writing, avatar selection, scene layout, and rendering autonomously.
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NEO: Neural Expressive Output
A next-generation video engine that goes beyond lip-sync. NEO combines latent diffusion with reinforcement learning to generate head movements, micro-expressions, and natural eye behavior directly from audio.
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