Wayve
London-based startup founded in 2017 by two Cambridge PhDs. Develops end-to-end deep learning AI for autonomous vehicles without HD map dependency. $1.5B Series D in 2026.
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About Wayve
Wayve was founded in 2017 in Cambridge by Amar Shah and Alex Kendall, two machine learning researchers who had identified a fundamental problem with the dominant approach to autonomous driving: systems based on HD maps, expensive lidar and pre-programmed rules were too brittle to scale in the real world. Wayve built a radically different approach: an AI system that learns to drive primarily from video data, through end-to-end deep learning. Wayve's AI doesn't follow rules โ it generalises from experience, like a human driver. In February 2026, Wayve raised $1.5B in a Series D round from Mercedes-Benz, Stellantis, Nissan and existing investors including Uber, Microsoft and Nvidia, reaching an $8.6B valuation. The company plans commercial robotaxi trials in London in 2026 and deployment on consumer vehicles from 2027.
The Story
Founded in 2017 by two University of Cambridge PhDs on the thesis that the rules-based approach to autonomous driving was fundamentally wrong.
How Wayve works
Business Model
AI software licensing for automotive OEMs + direct autonomous fleet deployment. Hybrid B2B and services model.
Revenue Model
Collaboration agreements, licenses, and integration services.
Funding & Investors
Latest Valuation
Funding Rounds
- 2026 - Series D: $1.2B
Key Investors
Founding Team
Founders
Key Metrics
Lessons from Wayve
- A contrarian technical approach can become an advantage if backed by strong execution.
- In deep tech, industrial partnerships are integral to strategy, not an afterthought.
- Raising capital is important, but commercial proof remains the true inflection point.
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- Wayve — Wikipedia