MetAI
Daniel Yu is a seasoned professional with extensive experience in leadership roles across various industries. Currently serving as the Co-Founder and CEO of MetAI Technology Co., Ltd., Daniel focuses on integrating Digital Twin, AI, and synthetic data technologies for industrial applications. As Deputy General Manager at Cleantek Corporation, Daniel has played a pivotal role in transforming traditional manufacturing processes while expanding product lines for the semiconductor industry. Previous experience includes significant contributions at CAMEO as a Product Architect and Project Manager, and as Chief Financial Officer at TokenBacon, where Daniel led financial strategies and product development initiatives. Earlier career highlights include managing investment portfolios at UG Investment and excelling as a Banking Associate at DBS Bank. Daniel holds a Bachelor's degree in Finance from National Taiwan University.
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MetAI
Founded in 2023 and a member of the NVIDIA Inception Program, MetAI leverages its proprietary 'MetSynthesizer Generative Algorithm,' combining AI and 3D technology to create AI solutions specifically designed for smart manufacturing, smart logistics, and industrial digital transformation. Starting from data collection and analysis, we use our self-developed Generative Model in a 3D virtual environment to generate synthetic data that fully meets production line and industry requirements. By establishing realistic digital twin environments that accurately simulate real-world conditions, industries can optimize their processes and smoothly transition from simulation to real-world applications. By integrating synthetic data and digital twins, we significantly address two major bottlenecks in the manufacturing industry's journey toward Industry 4.0: data insufficiency and simulation integration. Our vision is to utilize digital twins, synthetic data, and generative models to realize Real-to-Sim and Sim-to-Real transitions. Whether for defect detection, smart factories, or solution validation, MetAI's technology can significantly reduce wasted human resources, shorten validation times, and provide better solutions by introducing generative AI.