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TDK to Edge Grit in AI With SoftEye Deal

TDK Corporation has acquired SoftEye, Inc., a U.S.-based systems solution company developing custom chips, cameras, software and algorithms for use in smart glasses. As a result, SoftEye is an indirectly wholly owned subsidiary of TDK Corporation.

This acquisition represents a key milestone in the development of TDK’s contribution to the entire AI ecosystem and reinforces the business portfolio to establish a leadership position in this critical market.

Boosts TDK Positions in AI

SoftEye, based in San Diego, California, United States, is pursuing a vision to seamlessly connect the user with generative AI. Their custom chips, cameras and algorithms enable an end-to-end system empowering “the eyes for AI (eyeGenI™, eyeGI™)”.

TDK acquires SoftEye to enable artificial intelligence within smart glasses and grow its AI ecosystem business

SoftEye’s always-on custom chips and sensor systems feature a novel hardware- and software-based eye intent technology that enables low-power eye tracking and object recognition. Moreover, this technology is a critical element in delivering a complete AR/VR display system and will also create a new Human Machine Interface (HMI) for interacting with AI through eye movement.

“SoftEye brings expertise in algorithms, camera, and low-power chip design which gives TDK leadership positions in driving consumer applications for AR related technologies,” stated Jim Tran, Corporate Officer, TDK Corporation.

“We are building technologies for AI glasses connecting the user with generative AI, which fits directly in line with TDK strategy for smart glasses which can connect people with AI for a more intuitive and compelling user experience,” continued Te-Won Lee, CEO, SoftEye. “SoftEye’s novel, low power eye intent system unlocks a new type of Human Machine Interface that allows the user to communicate with AI simply through their eye movements. Together, we believe we can deliver even more advanced integrated solutions – spanning systems, software and machine learning and custom chips.”

20 June 2025