The Next Wave of
A New Approach to Self-Driving: AV2.0
Imagine a world where autonomous cars take us to work, pick up our kids from school, bring us our groceries and help our communities turn more car parks into green parks.
For that vision to move forward, autonomous vehicle (AV) technology has to move forward and become more intelligent.
It has to be able to adapt to new cities, different terrains, and changing conditions. It has to adjust to the unpredictable, the unknown and the never before seen. It has to learn - much like you do - to respond in any situation.
We are Wayve.
Our AV2.0 technology completely rethinks how to solve self-driving by taking a pure machine learning approach. The result is a next generation AV technology that can scale and adapt to any driving condition, anywhere in the world: unlocking the promise of a better way forward.
What Makes AV2.0 Better
The Most Intelligent AV is the Most Adaptable AV
Much like a human driver, our AV technology can learn how to drive in one city and then apply that knowledge to new places it’s never been to. While other AV technologies work only on specific mapped streets or testing areas, our system can go from driving in London to driving in another city without the need to be re-engineered.
AV Hardware that is Lean and Scalable
Expensive and complex sensor stacks, which often cost more than the car itself, have stalled wider deployment of driverless cars. Wayve is committed to making our AV hardware as accessible, universal, and scalable as possible. This has led us to a camera-first approach with a low unit cost that can be used by any customer fleet, mobility service or vehicle platform.
Intelligence That Gets More Intelligent With Every Drive
Our driving intelligence is built on a Fleet Learning Platform, where it learns to drive with massive-scale driving data. As we drive, we continually improve and compound this rich data curriculum. Not only does our system get smarter as it encounters more difficult driving, but it can also work across a range of use cases from grocery delivery to ride-hail to other forms of transportation.
The big new idea for making self-driving cars that can go anywhere
The mainstream approach to driverless cars is slow and difficult. These startups think going all-in on AI will get there faster.Read full article
Wayve and Microsoft partner to scale autonomous vehicles
Today, Wayve announced a partnership with Microsoft to leverage the supercomputing infrastructure needed to support the development of AI-based models for autonomous vehicles on a global scale.Read full article
Wayve’s alternative autonomous driving approach gets $200m funding boost
Wayve, a London-based startup creating autonomous driving technology based on computer vision and machine learning, has raised a $200m Series B funding round to help get self-driving cars onto the road faster.Read full article
Autonomous driving start-up Wayve bags $200 million from Microsoft, Virgin and Baillie Gifford
U.K. autonomous driving start-up Wayve has been backed by a host of big name investors including Microsoft, Virgin and Baillie Gifford in a $200 million funding round that brings total investment in the company up to $258 million.Read full article
Wayve, the lidar-free self-driving startup, raises $13.6M from Ocado
Today Ocado — the online grocer that also powers online grocery systems for other retailers like Kroger in the U.S. — announced that it is investing £10 million in the startup.Read full article
Asda to trial driverless delivery vans in London
Asda is to trial autonomous grocery delivery vans, working with self-driving vehicle firm WayveRead full article
Watch a self-driving car learn to navigate narrow European streets like a human driver
Wayve claims their autonomous vehicle learns to drive through mistakes and imitation.Read full article
Come ride the Wayve!
We are often told we are incredibly ambitious. We embrace solving the hardest challenges first, and are willing to try new solutions that will propel the world forward.
To reimagine mobility for everyone, everywhere, we need a diverse, brave, intelligent, collaborative, open-minded team that is courageous enough to challenge the status quo.
Join us for a challenge like none other.