Familiar
World Models for Accurate Humans.
About Familiar
Familiar is breaking down every language barrier. Sales and Demos, Education, Telehealth, Advertising, Live Shopping, Entertainment. Founders An Zhu Liu, Mingi Kwon, and Xu Zheng lead a team of PhDs, professors, and researchers from the world's top universities who started the field of joint audio-visual human models and co-authored the current state of the art in real-time human animation. They're building world models for accurate humans: understanding, editing, and predicting. They started with video language translation, and they've already built one of the most accurate translators available today, the only one that works in real time. It outperforms industry leaders (ElevenLabs, YouTube, HeyGen, Meta), as shown in Familiar's published benchmarks: https://thefamiliarlab.com/benchmark 🦋 Content, now in every language. Exactly the same as the original.
Founders
Mingi Kwon
Founder
AI PhD from Yonsei University. Built large-scale text-to-video models at Adobe Research and published at top AI conferences. Previously operated localized YouTube channels with 400K+ total subscribers.
An Zhu Liu
Founder
Stanford dropout. Tinkerer & researcher. Built the most realistic real-time human avatars with unmatched cloning accuracy early 2026. Trained personally on multiple nodes of B200s.
Xu Zheng
Founder
AI PhD from HKUST, 30+ publications on top-tier AI venues with 2k+ citations and 2k+ github stars.