
LG Innotek CEO Moon Hyuk-soo (right) shakes hands with Applied Intuition CEO Kasar Younis during a meeting at LG Innotek’s headquarters in Gangseo-gu, Seoul on Wednesday. Provided by LG Innotek
LG Innotek is deepening its cooperation with US-based software developer Applied Intuition to accelerate its efforts in physical artificial intelligence (AI).
The company announced on Thursday that CEO Moon Hyuk-soo met with Applied Intuition co-founder and CEO Kasar Younis on Wednesday at the company’s headquarters in Gangseo-gu, Seoul, to discuss possible cooperation in physical AI.
The meeting was held as a follow-up to the companies’ strategic partnership in autonomous driving announced in March.
The two companies are working to advance autonomous driving solutions by integrating LG Innotek’s sensing modules and Applied Intuition’s software platform.
“Applied Intuition is a leading physical AI company trusted by global enterprises,” said Moon. “Through this partnership, LG Innotek aims to emerge as a world-class player in sensing technology in the age of physical AI.”
Senior executives from both sides also attended the meeting, including LG Innotek’s Chief Technology Officer John Min and Applied Intuition’s Automotive Vertical Head Will Lin.
During the meeting, executives reviewed the current status of joint development efforts in self-driving technology, as well as discussed coordination strategies and joint marketing efforts for key customers.
Beyond self-driving cars, the two companies also explored opportunities to expand their cooperation into broader physical AI areas such as robotics and drones.
LG Innotek aims to leverage its strengths in advanced sensing technology, while Applied Intuition brings experience in deploying physical AI software across industries such as defense, construction, and agriculture, and aims to expand collaboration in mobility and robotics.
During its first quarter earnings call on Monday, the company shared plans to leverage multimodal sensing modules spanning cameras, light detection and ranging, and radar to expand into its physical AI business across autonomous driving and robotics, laying the foundation for long-term growth.
