Wayve develops end-to-end embodied AI software for autonomous driving that enables point-to-point navigation across different environments and vehicles, spanning L2+ hands-off to L3/L4 eyes-off driving without relying on high-definition maps.
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Frequently Asked Questions
Where is Wayve located?
Wayve is located in London, United Kingdom.
What industries does Wayve operate in?
Wayve operates in the following industries: autonomous driving, artificial intelligence, automotive software.
How much total funding has Wayve raised?
Wayve has raised a total of $1,268,000,000.
Who are the investors in Wayve?
The investors in Wayve are: Eclipse, Balderton Capital, SoftBank Vision Fund 2, Ontario Teachers’ Pension Plan, Baillie Gifford, British Business Bank, Icehouse Ventures, Schroders Capital, Mercedes-Benz, Nissan, Stellantis, Uber, Microsoft, Nvidia, British Growth Partnership Fund I, Advanced Micro Devices (AMD), Arm, Qualcomm Ventures.
Who are the founders of Wayve?
The founders of Wayve are: Alex Kendall.
What is Wayve's primary approach to autonomous driving?
Wayve utilizes an end-to-end deep learning approach called AV2.0, which focuses on embodied AI that learns to drive from data rather than relying on hand-coded rules or high-definition maps.
Where is Wayve headquartered?
Wayve is based in London, United Kingdom, and operates additional offices in Mountain View, California, and Vancouver, Canada.
Which major companies have invested in or partnered with Wayve?
Wayve has secured significant investment and partnerships from prominent technology firms including SoftBank Group, NVIDIA, and Microsoft.
What are Wayve's GAIA-1 and LINGO-1 technologies?
GAIA-1 is a generative world model designed for autonomy, while LINGO-1 is a vision-language-action model that enables Wayve's AI system to explain its driving decisions using natural language.
How does Wayve's technology differ from traditional self-driving systems?
Unlike traditional systems that depend on rigid rules and complex HD maps, Wayve's technology uses foundation models to generalize driving intelligence, allowing vehicles to navigate unfamiliar environments more effectively.