Waabi
Developed physical AI models for autonomous vehicle control.
Waabi's Physical AI Platform Targets Generalization, Pivoting from Highways to Urban Robotaxis
Raquel Urtasun founded Waabi to address one of the most complex challenges in modern engineering: creating reliable, all-encompassing AI that interacts safely with the unpredictable real world. Her core vision...
↗ Waabi’s platform focus on generalized Physical AI—an end-to-end system with built-in simulation and adaptable sensor integration—allows it to accelerate deployment by moving beyond the specialized constraints of long-haul trucking and into diverse urban applications like robotaxis, solidifying its position as a holistic autonomy provider.
Beyond the LLM: Raquel Urtasun and Waabi are Redefining Physical AI with a Generalizable, Consequence-Aware Platform
The narrative surrounding artificial intelligence often gets lost in the dazzling buzz of Large Language Models (LLMs). While LLMs are revolutionary, they primarily deal with symbolic data—the language we use....
↗ Waabi’s breakthrough isn't just in AI capability, but in platform generalization. By building a simulator and a consequence-reasoning 'brain' that can adapt to any sensor array and countless operational variables, they are creating the foundational infrastructure for mass-scale, capital-efficient autonomous systems, moving the industry past data reliance and into universal applicability.