LONDON, May 7 (Reuters) - British self-driving
technology startup Wayve said on Tuesday it has raised $1.05
billion in a funding round led by SoftBank Group to
accelerate the development and launch in production-model
vehicles of its Embodied AI technology that can learn from and
adapt to human behavior.
Nvidia ( NVDA ) also contributed in the Series C funding
round as a new investor, as did existing investor Microsoft ( MSFT )
.
The latest funding brings Wayve's total funds raised to just
over $1.3 billion and marks the largest investment yet in a
British startup focused on artificial-intelligence technology.
In a statement, British Prime Minister Rishi Sunak hailed
the funding round as "a testament to our leadership in this
industry, and that our plan for the (UK) economy is working."
Founded in 2017, Wayve's autonomous driving technology uses
AI that the startup says will enable vehicles to "navigate
situations that do not follow strict patterns or rules, such as
unexpected actions by drivers, pedestrians, or environmental
elements."
"This will enable automakers and fleets to accelerate their
transition from assisted to autonomous driving," Wayve CEO Alex
Kendall told Reuters.
The startup's technology is currently integrated into six
different vehicle platforms including electric vehicles like the
Jaguar I-PACE and Ford Mustang MachE as part of advanced driver
assistance systems (ADAS), Kendall said. As the self-driving
technology advances, Wayve's AI will be upgraded using
over-the-air software updates.
The problem faced by robotaxi startups and other
self-driving companies is that developing vehicles that can
truly drive themselves has proven more difficult than originally
imagined.
Among the main challenges is that self-driving software
systems have simply lacked humans' ability to predict and assess
risk quickly, especially when encountering unexpected incidents
or "edge cases."
As the scale of that challenge has become clear, major
investments in autonomous startups like Wayve are increasingly
rare.
Wayve President Erez Dagan told Reuters the company's
technology is "built to generalize its driving knowledge from
one scenario to another... because it's nearly impossible to
imagine every situation that a self-driving car needs to
reliably handle."
"By leveraging the raw power of AI, we can build an Embodied
AI system that's learned from real-world and synthetic data how
to handle edge cases at a rate that surpasses human
programming," he added.