LG Innotek, Applied Intuition CEOs meet for deeper physical AI partnership

LG Innotek CEO Moon Hyuk-soo, right, shakes hands with Applied Intuition CEO Qasar Younis during a meeting at LG Innotek's headquarters in Gangseo District, Seoul, Wednesday. Courtesy of LG Innotek

LG Innotek is accelerating its push into physical artificial intelligence (AI), deepening its collaboration with U.S.-based software developer Applied Intuition.

The company said Thursday that its CEO, Moon Hyuk-soo, met with Qasar Younis, co-founder and CEO of Applied Intuition, at the company’s headquarters in Gangseo District, Seoul, on Wednesday to discuss potential cooperation in physical AI.

The meeting was held as a follow-up to the two companies’ strategic partnership in autonomous driving announced in March.

The two are working to advance autonomous driving solutions by integrating LG Innotek’s sensing modules with Applied Intuition’s software platform.

“Applied Intuition is a leading player in physical AI trusted by global companies,” Moon said. “Through this partnership, LG Innotek aims to leap forward as a global top-tier player in sensing technologies in the era 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 Head of Automotive Vertical Will Lin.

During the meeting, the executives reviewed the current status of joint development efforts in autonomous driving technologies, as well as coordinated strategies for key customers and joint marketing initiatives.

Beyond autonomous vehicles, the companies also explored opportunities to extend their cooperation into broader physical AI domains, including robotics and drones.

LG Innotek aims to leverage its strength in advanced sensing technologies, while Applied Intuition brings experience in deploying physical AI software across industries, such as defense, construction and agriculture, to broaden collaboration in mobility and robotics.

During the first-quarter earnings call on Monday, the company shared its plans to leverage its multi-modal sensing modules spanning cameras, light detection and ranging, and radar to expand into the physical AI business across autonomous driving and robotics, laying the foundation for long-term growth.