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Funding Round Profile

Phantom AI

start up
United States - Mountain View, California
  • 02/02/2023
  • Series C
  • $36,500,000

Phantom AI’s mission is to democratize the use of advanced driver-assistance systems (ADAS) to reduce accidents, save lives and make driving more enjoyable, while delivering tomorrow’s self-driving technology.

Founded by a team with deep automotive and AI expertise, Phantom AI provides a comprehensive autonomous driving platform featuring computer vision, sensor fusion and control capabilities. Phantom AI has created the most accurate and highest-performing AI solutions available today that meet car manufacturer requirements, at a much lower price than existing solutions.


Related People

Hyunggi ChoCo Founder

Hyunggi Cho United States - Palo Alto, California

@Phantom AI
Phantom AI is a well funded autonomous vehicle startup founded by engineers from Tesla and Hyundai who’ve developed and shipped ADAS (Advanced Driver Assistance Systems). At Phantom, we’ve built cost effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle.

Our vision technology is unique in using a combination of recent deep learning breakthroughs and proven computer vision geometry techniques. Medium term, we’ll build level 4/5 capabilities by adding low-cost and resource-light LiDAR sensors into our vision technology.

Our main customers are Tier 1 automotive manufacturers who are today focused on delivering the best level 2/3 solutions and in the future will deliver full autonomy. We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at volume production scale.

@Tesla Autopilot
As a perception engineer in Tesla Motors, I am working on an autopilot system for Tesla Model S.

@Carnegie Mellon
Our research platform was the robot 'Boss' which was the winning entry in DARPA Urban Challenge in 2007. I've learned so many amazing stuffs from him such as software infrastructure, sensor drivers, and various perception algorithms. I worked on a vision-based object detection system for pedestrians, bicyclists, and vehicles. I also worked on a multi-sensor fusion system for moving object detection and tracking.

For more details, please check my CMU website: http://users.ece.cmu.edu/~hyunggic/