Waabi is an autonomous driving company founded in 2021 by Raquel Urtasun, a leading AI and self-driving researcher who previously led Uber's advanced technologies self-driving research and is a professor at the University of Toronto. The company focuses on autonomous trucking and is built around an AI-first, simulation-centric approach to the self-driving problem.
Waabi's core thesis is that traditional autonomous driving stacks, which rely on large fleets and extensive real-world road testing, are slow, costly and hard to scale. Instead, Waabi emphasizes an end-to-end AI "driver" trained and validated primarily in a high-fidelity, AI-powered simulator called Waabi World, aiming to reach safety and scalability faster with far less physical mileage.
The company targets long-haul trucking, where driver shortages, economics and highway-dominated routes make automation commercially attractive. Waabi has worked toward driverless operations and partnerships with logistics and freight stakeholders, positioning its technology as a deployable autonomous trucking solution rather than a research project.
Waabi has raised significant venture funding from investors and strategic partners interested in autonomy and logistics, supporting its capital-intensive development and validation efforts.
It competes with other autonomous trucking and driving companies such as Aurora, Kodiak, Gatik and Waymo's freight efforts. Waabi's differentiation lies in its generative-AI and simulation-first methodology and the technical credibility of its founding team.
For the freight industry and AV observers, Waabi represents a distinctive bet that an AI-native, simulation-driven approach can shorten the long road to safe, scalable autonomous trucking, though real-world deployment at scale remains to be proven.