MI Cube Solution (CEO Park Moon-won and Cho Young-taek), a company specializing in smart factory and manufacturing AI solutions, announced on the 13th that it was selected for the 'Emerging AI+X Top 100' hosted by the Korea Artificial Intelligence Industry Association in 2026. MI Cube Solution was recognized for its achievements in improving productivity by applying AI to manufacturing sites and was selected as an excellent company in the manufacturing AI sector for three consecutive years starting in 2024.
The 'Emerging AI+X Top 100' is a system that selects the top 100 domestic companies that are driving innovation through AI and industrial convergence, and aims to highlight promising companies that are pursuing AI-based digital transformation and pioneering new markets.
MI Cube Solutions provides four AI services essential for manufacturing: quality prediction, anomaly detection, predictive maintenance, and process optimization, contributing to the implementation of autonomous manufacturing. The company is expanding its business by providing AI solutions that take actual manufacturing processes and operating environments into account.
Key projects include the "Manufacturing AI Center Construction Project" for the Daegu Machinery and Materials Components Industry, the "AX Demonstration Complex Construction Project" for the petrochemical industry in the Ulsan Mipo Industrial Complex, and the "Development of an LLM and Digital Twin Convergence System" for process optimization in the steel industry. Each project will be implemented over three years, and MI Cube Solutions is responsible for applying manufacturing AI to various industries and transferring its expertise.
CEO Park Moon-won said, “Inquiries and demands for AI adoption in manufacturing sites are increasing every year, and AI has now become an essential element.” He added, “Since the launch of ‘SmartAI’ in 2017, we have secured over 40 cases of implementation in manufacturing sites, and we plan to continue to support manufacturing companies in using AI to solve difficult problems in the field.”
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