Two automotive technology companies are deepening their integration with NVIDIA’s AI platform, each staking out a distinct position in the emerging smart-vehicle ecosystem. Coplus is repositioning itself from a lighting hardware manufacturer into an AIoT mobility firm through the NVIDIA Developer Program, while Pateo is accelerating on-vehicle AI deployment via the NVIDIA DRIVE AGX Thor platform in partnership with a leading NEV OEM. Together, the moves reflect a broader industry shift toward AI-native vehicle infrastructure — one driven by optics and edge intelligence, the other by large language models and in-cabin computing. Coplus (2254.TW) has finalized its integration into the NVIDIA Developer Program, signaling a transition from a hardware-centric performance lighting manufacturer to an AIoT mobility technology firm. By leveraging NVIDIA DRIVE and Omniverse, the company is positioning its proprietary Micro Lens Array optical technology within an open-innovation R&D framework. This strategic alignment contrasts with the closed-loop proprietary models of traditional EV pioneers, focusing instead on cross-platform versatility and the integration of high-end lighting with global autonomous stacks. The company’s Manlux concept vehicle serves as the primary demonstration platform for this AI-native transition, utilizing NVIDIA Edge AI to facilitate V2X communication and digital twin frameworks. This hardware-with-an-AI-soul approach transforms traditional lighting components into intelligent endpoints capable of dynamic ground projection, precision anti-glare protection through Adaptive Driving Beam systems, and high-resolution navigation guidance. These advancements target the human-machine interface and automotive safety markets, which are projected to see significant valuation increases as autonomous sensor and intelligent lighting sectors expand toward a combined 2030 market potential exceeding 26 billion USD. From a structural perspective, Coplus is utilizing the NVIDIA ecosystem to develop Li-Fi optical communication (V2I) as a redundancy layer for autonomous safety. This move aims to secure a position as a critical infrastructure partner for smart city initiatives rather than acting