WeRide Unveils WITT Physical AI Foundation Model to Turn Real-World D…

WeRide unveils WITT, a Physical AI foundation model that extracts Atomic Physical Facts from real-world driving data to improve autonomous vehicle training and reduce computational costs by up to 98% versus general-purpose models. The model processes multimodal data (video, images, text) through fact extraction, reasoning, verification and curation to transform operational experience into trusted learning signals. If you're building autonomous vehicle perception or sensor fusion software, your training pipeline just became obsolete: WeRide has proven you can strip 98% of compute cost and get 200x faster data processing by filtering real-world video down to verified physical facts before training starts. That efficiency multiplier is now table-stakes—your next customer will expect it.