— that Catches the Corner Cases.
Get Early AccessCommon sense doesn't exist for AI
"Humans in the loop" are still needed to handle millions of corner cases
Labeling everything in every video for training is impossible
Traditional AI fails when encountering unexpected scenarios
True understanding of the physical world is conceptual (no "language" is involved).
Today's LLMs, VLMs and World Models all generate predicted tokens (pixels). The physical world is not understood via pixels.
Humans and animals understand the physical world through abstract concepts.
Detecting corner-cases gives a 10x improvement in search results
A contrarian bet based on decades of understanding of video perception problems
(Joint Embedding Predictive Architecture)
Join our pre-seed fundraise and be among the first to access enterprise-grade Physical AI video search.
Contact Us Today