Deepfine, an industrial AI platform company, announced on the 9th that it will participate in MWC 2026, which will be held in Barcelona, Spain from March 2nd to 5th, and unveil an AI-based industrial intelligence solution.
Hosted by the GSMA (Global System for Mobile Communications Association), MWC is a global information and communications technology (ICT) expo showcasing cutting-edge technologies and new products, including mobile, AI, cloud, XR, IoT, and 5G. Each year, over 2,900 companies from over 200 countries participate, expanding their global networks and exploring new business opportunities.
At this exhibition, DeepFine plans to present operational innovation solutions powered by AI-based industrial intelligence solutions, focusing on proven case studies in the logistics and maintenance, repair, and overhaul (MRO) sectors. These solutions focus on reducing recurring errors and quality deviations in industrial settings and accumulating work results into data to enhance operational efficiency and reliability.
In the logistics sector, smart glasses will be used to standardize worker routes through real-time route guidance and picking support. Deep learning-based logistics recognition AI technology automatically recognizes cargo, barcodes, and text, and the process of detecting loading status and abnormal cargo volume in real time is designed to allow on-site monitoring.
We will also introduce a logistics control function that integrates worker status and work history, enabling real-time analysis of operational data and intuitive understanding of work flow. We will also present an operational method for quickly responding to on-site issues through remote field support based on real-time video sharing.
In the MRO sector, we are unveiling an AI-based operational structure that supports the entire maintenance process, including wiring and installation, based on proven case studies in shipbuilding and heavy industry sites. This system is designed to prevent inspection omissions even in difficult tasks and maintain consistent maintenance quality and safety by providing step-by-step guidance, automatic work history recording, and remote expert support.
Kim Hyun-bae, CEO of Deepfine, said, “AI is not just a technology that speeds up field work; it is a core infrastructure that verifies work results and standardizes quality.” He added, “Deepfine will continue to expand AI-based operating models that increase overall operational reliability through solutions proven in industrial fields.”
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