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LG Innotek / MOU

LG Innotek Speeds Expansion Into Physical AI

Dong-A Ilbo | Updated 2026.03.30
Alliance with autonomous driving leader Applied Intuition extends collaboration to drones and robots
Refining detection modules with real driving data to target global market leadership
Pioneering virtual sensors based on digital twins to maximize competitiveness in winning OEM contracts
Evolving from a simple parts supplier to a solutions company, aiming to be a global top player in mobility sensing
Moon Hyuk-soo, President of LG Innotek, and Qasar Younis, CEO of Applied Intuition, shake hands. Provided by LG Innotek
LG Innotek announced on the 30th that it has entered into a strategic partnership with Applied Intuition, which has capabilities in autonomous driving operation software. Starting from this collaboration, LG Innotek plans to procure the partner’s autonomous driving software and test vehicles to enhance the technological completeness of its sensing modules. Applied Intuition, in turn, will integrate LG Innotek’s hardware into its virtual environments to improve the precision of its own software programs.

Applied Intuition, based in Silicon Valley in the United States, is regarded as a leading player in virtual driving implementation tools and is spearheading the physical AI market. It currently counts most of the world’s top-tier automakers among its customers and has built unique technological strength based on data from real-world vehicles operating around the globe.

LG Innotek entered into this agreement to secure high-quality data that are essential for advancing perception technology. The company aims to expand its business opportunities by offering an integrated solution that combines software in addition to hardware, rather than providing standalone components. In particular, it plans to extend the scope of collaboration beyond vehicle autonomous driving to encompass next-generation industries such as unmanned aerial vehicles and robotics.

Under the contract, LG Innotek’s proprietary sensing components will be installed in Applied Intuition’s test vehicles operating across the United States, Europe, Japan and other regions. This will enable the collection of extensive real-world data that reflect regional road environments and climate characteristics, and on this basis, the company intends to optimize module performance to its limits. It is also expected to significantly shorten the validation period of its complex perception solutions currently under development by conducting direct demonstration tests in Korea, leveraging the operational know-how thus secured.

The companies will also accelerate the development of virtual sensors using digital twin technology, a form of digital replication. By reproducing the physical characteristics of actual components identically in a virtual world, this approach will allow automakers to perform highly precise simulations without real-world driving. If LG Innotek’s virtual sensors are adopted at the development stage, the likelihood that the corresponding products will also be selected in subsequent mass production processes is considered high, which is viewed as a key factor in strengthening order competitiveness.

At the beginning of the year, LG Innotek CEO Moon Hyuk-soo emphasized a shift away from a structure focused on component supply toward transforming into a solutions company that proposes optimal offerings combining hardware and software. This partnership is likewise part of such structural reform and reflects the company’s determination to grow into a technology firm equipped with both data and software capabilities.

Applied Intuition CEO Qasar Younis stated that the joint growth of hardware and software ecosystems is crucial to the widespread adoption of autonomous driving, adding that collaboration with LG Innotek will help manufacturers move more smoothly into the mass production phase. Moon also expressed confidence that this partnership will become a new standard in autonomous driving and voiced his ambition to establish the company as a leading global player in sensing across mobility and robotics.

Kim Sang-jun

AI-translated with ChatGPT. Provided as is; original Korean text prevails.
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