Science
Driving the science of autonomy at Wayve
Advancing Embodied Intelligence
Our goal is to achieve scientific breakthroughs in Embodied AI that address real-world challenges in autonomous driving and beyond.
Since the very beginning, Wayve has been deeply rooted in cutting-edge AI research. Today, our Science division is at the forefront of end-to-end autonomous driving research, driving significant advancements in the performance, measurement, and safety of self-driving technology.
Foundation models for autonomous driving
Our Science innovation is dedicated to developing foundation models for autonomous driving. These ‘general purpose’ models excel at various driving tasks such as perception, reasoning, and motion planning.
We train these models using an extensive corpus of diverse vision, language, and action data from our R&D fleet, partner fleets, and our generative AI models. This multifaceted training approach provides a deep and nuanced understanding of the dynamics of the physical world and fine-tunes the model’s decision-making for safe driving on the road.
Core research areas
Our commitment to developing foundation models and products is supported by extensive research in:
Generative world models
GAIA-2, our latest generative world model for autonomy, pushes the boundaries of synthetic data generation with enhanced controllability, expanded geographic diversity, and broader vehicle representation.
Measurement and simulation
Utilizing neural rendering, we can automatically generate photorealistic 3D worlds from real driving data, creating cost-effective testing scenarios and enriching training data for our foundation models.
Natural language
We’re leveraging natural language to improve the learning process and explainability of our models, making AI decisions more understandable and transparent.





