We aim to be the first to
deploy in 100 cities
Wayve announces collaboration with Microsoft to design the supercomputing infrastructure needed to accelerate deep learning for autonomous mobility.
Wayve raises $200 million Series B backed by a prominent group of global financial and strategic investors including D1 Capital, Baillie Gifford and Microsoft. This latest round of funding brings total equity raised to over $258 million. The investment will support Wayve’s ability to scale and deploy AV2.0, its next-generation autonomous technology.
Wayve announces partnership and $14M investment from British online grocer Ocado Group. Wayve’s technology will be used in an autonomous delivery trial in London commencing in 2022. Wayve is also working with one other big UK grocer, Asda.
Wayve raises additional capital bringing our total funding to $44M. We demonstrate our technology scaling to multiple cities, training our system using only London training data, yet capable of generalising autonomous driving to new UK cities.
Wayve raises a $20M Series A investment and opens our headquarters with a world-class robotics facility in London King’s Cross with a fleet of autonomous Jaguar I-PACE vehicles.
Wayve demonstrates end-to-end deep learning driving a vehicle in traffic for the first time in the world on public UK roads.
Wayve demonstrates the first example of deep reinforcement learning on a self-driving car, learning to lane follow from scratch with just 10 minutes of feedback.
Wayve was founded following world-class research in deep learning from the University of Cambridge, building our first robot in our house-office's garage.
Come and ride the Wayve!
Wayve is based in London’s tech district near King's Cross Station and has been testing autonomous vehicles on public UK roads since early 2018. Wayve operates a fleet of electric vehicles fitted for autonomous operation and technology development.
We are a diverse group of motivated individuals solving the most challenging technical problem of the 21st century. We are roboticists, deep learning scientists, mathematicians, physicists, software engineers, entrepreneurs and more.