Vision AI specialist company Seelab (CEO Se-hyeok Yoon and Jeong-hwan Chae) announced that it participated in the 'PLM/DX Best Practice Conference 2025' held at COEX in Samseong-dong, Seoul on June 20 and introduced its digital twin solution.
This event was a place to share manufacturing innovation cases utilizing artificial intelligence (AI) and digital transformation (DX) technologies, and various discussions followed on product lifecycle management (PLM) strategies based on digital twins and generative AI.
At the event, SeeLab introduced integrated simulation technology for the manufacturing and logistics industries, focusing on digital twin solutions utilizing NVIDIA Omniverse. In particular, real-world application cases based on the company’s own technology, such as high-quality 3D simulation, synthetic data generation, and real-time data-based analysis and visualization, were revealed.
In the presentation session that day, Mr. Kim Geon-woo, Manager of Cielab, gave a presentation on the topic of ‘Business Realization of Digital Twins Using NVIDIA Omniverse.’ Manager Kim pointed out the lack of data linkage and real-time limitations of existing digital twin technology, and explained the integrated solution proposed by Cielab and its application method in manufacturing sites.
Cielab has been building a digital twin system that can link large-scale data in real time in various industrial environments using the NVIDIA Omniverse platform. Through this, it emphasized that it is possible to virtually simulate actual production environments and support process optimization and decision-making without repetitive testing. In particular, cases of improving logistics processes, such as route optimization technology for autonomous mobile robots (AMR), were also introduced.
Yoon Se-hyeok, CEO of Cielab, said, “As the digital transformation of the manufacturing industry is in full swing, the demand for digital twin technology is rapidly increasing,” and “Cielab will support practical innovation in the manufacturing industry with solutions based on Physical AI that combine Vision AI and virtual simulation technology.”
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