Autonomous driving solutions
Open for applications
Autonomous driving solutions
21-100 employees
Open for applications
21-100 employees
To create a future where autonomous machines can thrive alongside humans, seamlessly and safely integrating into any environment.
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To create a future where autonomous machines can thrive alongside humans, seamlessly and safely integrating into any environment.
-1% employee growth in 12 months
Autonomous vehicles are big business at the moment, with companies such as Tesla, Google owned Waymo and Argo all vying to create the technologies that will transform the way we travel. ISEE finds its place in this thriving sector by specialising in autonomous trucks and using AI and deep learning technologies to create self-driving trucks that can learn and use the machine equivalent of common sense.
Speed, efficiency and safety are essential within the logistics and shipping industry. Rather than trying to program a reaction to an infinite number of possible events, Isee is creating trucks that will learn and react autonomously, designing a computer system that drives like a human.
Following very strong revenue growth in 2022, ISEE has closed a Series B funding round which is being used to hire additional talent and further the development of its self-driving yard trucks. As the first, and only, company to achieve fully-autonomous operations there's certainly an exciting future ahead for ISEE.
Kirsty
Company Specialist at Welcome to the Jungle
Nov 2022
$40m
SERIES B
Nov 2019
$15m
SERIES A
This company has top investors
Yibiao Zhao
(CEO)Yibiao completed their PhD at UCLA studying computer vision and his Postdoc at MIT studying cognitive robots. They are a pioneer of engineering common sense for visual understanding and cognitive robots.
Debbie Yu
(Board Member)Prior to Isee, Debbie co-founded environmental data solutions company, Spatial Intelligence. Their experience is in investment having been an Angel investor and advisor prior.
Chris Baker
(Chief Scientist)Chris completed their PhD at MIT in cognitive science, going on to complete their Postdoc and following research within the department.
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