Wayve, a UK-based start-up reimagining autonomous mobility through embodied intelligence, announced today its $200 million Series B backed by a prominent group of global financial and strategic investors.
This latest round of funding brings total equity raised to over $258 million since inception and reinforces Wayve’s position as a leader in autonomous driving, pioneering an artificial intelligence led approach to autonomous vehicles on a global scale.
Eclipse Ventures, long-time supporter of Wayve, led the round with participation from new global financial investors.
These investors include D1 Capital Partners, Baillie Gifford, Moore Strategic Ventures and Linse Capital, as well as additional support from Microsoft and Virgin, and early-stage investors Compound and Balderton Capital.
They join strategic investor Ocado Group and a prominent list of angel investors that include AI and industrial leaders, such as Sir Richard Branson, Rosemary Leith, Linda Levinson, David Richter, Pieter Abbeel, and Yann LeCun.
Alex Kendall, co-founder and CEO, Wayve, says: “We were the first team to develop the scientific breakthroughs in deep learning to build autonomous driving technology that can easily scale to new markets using a data-learned approach.
“Today, we have all of the pieces in place to take what we have pioneered and drive AV2.0 forward. We have brought together world-class strategic partners in transportation, grocery delivery and compute, along with the best capital resources to scale our core autonomy platform, trial products with our commercial fleet partners, and build the infrastructure to scale AV2.0 globally.”
Wayve’s AV2.0 technology is designed to be the most adaptable autonomous vehicle system for fleet operators.
It combines the advantages of a lean, camera-first sensing suite with the embodied intelligence of an end-to-end deep learning system that continually learns from petabyte-scale driving data provided by Wayve’s partner fleets, including Ocado Group, Asda, and DPD.
By using machine learning, Wayve is building a more scalable autonomous vehicles platform that can quickly and safely adapt its driving intelligence to new cities, different use-cases and vehicle types.
This unlocks the potential to scale commercial deployments to other cities more quickly than the conventional autonomous vehicles approach, which typically relies on an expensive and complex array of sensors and is operationally limited by HD maps and rules-based control strategies.
Seth Winterroth, partner, Eclipse Ventures, says: “As the industry struggles to solve self-driving with traditional robotics, it is becoming increasingly clear that AV2.0 is the right pathway to build a scalable driving intelligence that can help commercial fleet operators deploy autonomy faster.
“Wayve is breaking new ground by building autonomous vehicles that can adapt to driving in new cities, previously unseen in training.
“As the leaders in this field, they have assembled an exceptional team of machine learning experts and autonomous vehicle veterans to drive AV2.0 to reality.”
The new capital raised will enable Wayve to continue to grow its team, develop a Level 4+ autonomous vehicle prototype for passenger vehicles and delivery vans, scale its deployments on partner fleets to commence last-mile delivery pilots, and develop the data infrastructure to improve its core autonomy platform at fleet scale.
Achieving this will improve the accessibility of autonomous vehicle technology, allowing more businesses and individuals to benefit from safer, sustainable and more reliable forms of transportation.
Jeff Lerman, of D1 Capital Partners, says: “We believe Wayve’s innovative AV2.0 technology has significant advantages over rules-based autonomous vehicle approaches, which can be limited by edge cases and a lack of modularity.
“In addition, we believe Wayve’s fleet partnerships enable high quality data collection at scale that serves as a competitive advantage. We are excited to back Alex and his team, who we view as industry pioneers.”
Microsoft will join as an investor. Wayve is using Azure, Microsoft’s cloud computing platform, to scale its machine learning platform.
Azure is providing the compute and storage capabilities required to run autonomous driving development and testing workloads and conduct machine learning experimentation to improve autonomy performance.
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