Causal AI Research
Causal Perception and Reasoning
We build AI that moves beyond correlation-based perception toward genuine causal reasoning, understanding not just what happens, but why.
Our Thesis
Perception
Recognizing what is in the data
Modern models excel at correlation, spotting the patterns of what tends to occur together.
Reasoning
Understanding why it happens
We build systems that reason about cause and effect, the mechanisms that actually drive the data.
Our Core Research
Selected Publications
View all publications →Recognition
All achievements →The Team
Meet the full team →Recent News
Join Us
Build the future of causal AI
We are actively growing and seeking passionate collaborators to advance causal AI.
Prospective Students (PhD, Master, UG): if you're driven to explore the why behind AI, not just the what.
Academic Partners: let's collaborate on fundamental research in Video Understanding, Document Intelligence, Healthcare, and Physics-Informed Causal AI.
+ Get in Touch