Main revenue sources: 1) Service revenue (ride-fare revenue share, annual AV software licensing, autonomous operations/technical services, intelligent data services) – AI directly powers all via L4 stack and world model. 2) Product revenue (sales of robotaxis/robobuses; L2+/ADAS WePilot 3.0 with OEMs) – AI directly embedded (end-to-end ADAS, autonomy hardware/software). Geographies include China, Middle East, Europe; platforms include Uber/Grab. Robotaxi service utilization and permits drive recurring AI software/licensing growth. Overall, revenue is overwhelmingly from AI-native autonomy products and services.
The core of WeRide is really the AI technology. WeRide since day 1 has been an AI company, and we hire so many top talents and set up our company for the fast iteration in the AI algorithm.
Quotes from weride Executives About Artificial Intelligence and Generative AI
Our ability to massively deploy both L4 and L2++ level mass production vehicles helps us to gather data more efficiently and make our algorithm more generalizable.
- Xu Han
One of our very midterm goal is trying to reach profitability at the same time, maintain a strong market share. With our current progress, I think I'm very optimistic because I have already seen the success of the Abu Dhabi model.
- Xu Han
This is our world model, and it's seamlessly integrated with our end-to-end system. Our world model can be seamlessly integrated into end-to-end ADAS system and our L4 system can leverage on the data we collected from our L2 level data.
- Xu Han
The technology has been there. We have used deep learning algorithm based on large language model, a lot of data. But all of this, I want to say, it's based on our past 8 years' experience.
- Xu Han
The substantial data we have collected from L2++ system is helping us strengthen our L4 system, making our autonomous fleet safer and more efficient.
- Xu Han
So this Genesis form as the core flywheel, actually, we call it a double flywheel. We can actually leverage on L2++ level massive production car data to improve our robotaxi.