In this episode of Let’s Talk Evolution, Daniel Yu, CEO and Co-Founder of MetAI, shares how his Taiwan-based deep tech startup is transforming industrial AI through digital twins and synthetic data. Drawing from his journey from finance to AI entrepreneurship, Daniel explains how MetAI tackles the “AI adoption gap” by building high-fidelity virtual environments that replicate factories and warehouses in detail. These digital twins generate synthetic data used to train robotics and AI systems faster, safer, and more efficiently than real-world testing.Daniel also discusses the misconceptions surrounding digital twins, emphasizing that they are not just 3D models but behaviorally accurate environments with real operational logic. With support from Nvidia, MetAI developed algorithms that can turn CAD blueprints into simulation-ready environments, drastically reducing time and cost. Taiwan’s strong manufacturing ecosystem gives MetAI access to real-world insights, enabling the company to produce highly relevant synthetic data for industrial applications.By treating synthetic data as a core product rather than a byproduct, MetAI is building the foundation for a new era of physical AI infrastructure. This episode dives into how digital twins, simulation, and AI training converge to shape the future of smart factories and robotics innovation. Hosted on Acast. See acast.com/privacy for more information.

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