Our Team
We’re research scientists who’ve spent years advancing AI avatar and audio-visual generation — publishing at top conferences and shipping ultra-low-latency ML products to millions. We combine frontier research with the ruthless engineering needed for consumer-grade, real-time systems.
Fangchang Ma
CEO
MIT PhD in Robotics and ML. Previously at Apple.
Edward Zhang
CTO
UW PhD in Graphics. Previously at Apple.
Karren Yang
Founding Research Scientist
MIT PhD in Audio-visual Synthesis. Previously at Apple.
Claudia Vanea
Founding Research Scientist
Oxford PhD in AI for Health. Former founder.
Nicole Zhen
Chief of Staff
Yale Economics. Previously at McKinsey and Nordstrom.
Rajath Kumar
Founding Research Scientist
Master's from Columbia University. Previously at Amazon AGI.
Elliott Bartsch
Founding Engineer
Harvard Statistics. Previously at Discord, Day Zero Diagnostics, and Firecracker.
Soyong Shin
Founding Research Scientist
CMU PhD in Human-centric Computer Vision. Previously a visiting researcher at Meta FAIR.
Yaser Sheikh
Advisor
Former VP of Codec Avatars at Meta and Professor at Carnegie Mellon.
Our Approach
Auto-regressive transformers can be trained to model people.
Consider the overwhelming success of today’s LLMs: by simply predicting one token at a time they learn the semantic complexities of human language. Similarly, we believe that by predicting how humans will act, one visual and audio frame at a time, will produce a deeper and more nuanced understanding of being human.
We are building a unified system that can both appropriately express and empathetically interpret the subtle and meaningful landscape of human communication, in real-time.
