▲ Source - onepredict
onepredict, a specialized industrial AI enterprise, will participate in AW2026, held at COEX in Seoul from March 4 to 6, to officially unveil its next-generation manufacturing innovation model, 'ai native factory,' which realizes a 'factory driven by AI.'
The 'ai native factory' proposed by onepredict is a manufacturing operating system that designs the entire process of factory data collection, analysis, learning, and execution centered around AI. Moving beyond simple automation, it aims for a structure where AI performs decision-making and operational optimization based on real-time data.
At this exhibition, the company will introduce implementation strategies for the 'ai native factory,' focusing on the 'ai factory os' architecture. The manufacturing data & MLOps platform 'cyclone', which transforms multimodal raw data from manufacturing sites into 'AI-Ready Data,' establishes the foundation. Then, the Manufacturing Foundation Model (MxFM) adapts to the field data and expands into the domains of maintenance, quality, and energy. Subsequently, the AI-based integrated industrial asset management platform 'pdx' consolidates operation systems at the line, process, and factory levels, connecting them all the way to the execution stage.
Official conference presentations will also take place during the exhibition. On March 4, Min-seok Sung, Vice President of onepredict, will present on the topic 'Factory Driven by AI, ai native factory' during the keynote session of the 'AI Autonomous Manufacturing Innovation Conference' held in Room 307 on the 3rd floor of COEX. On March 5, at the 'Industrial Intelligence Conference' held in Hall E, he plans to explain data architecture strategies as the core of AI transformation under the theme 'The Starting Point of Autonomous Manufacturing: Data Operating System.'
Internal seminars will also be operated for three days at the booth (Hall C, Booth C360). 20-minute sessions will run repeatedly covering topics such as 'Factory Driven by AI,' 'Manufacturing AI Problem-Specific Models and Foundation Models,' 'cyclone-based Data Collection and Analysis Platform,' and 'pdx-based Integrated Industrial Asset Management.' These sessions will be integrated with on-site demos and technical consultations.
"A factory driven by AI is not just about improving parts of existing manufacturing operations; it is a concept of redesigning the operation structure itself with AI at its core," said Ilsang Yoon, Marketing Team Leader at onepredict. "At AW2026, we will present a concrete transition model connecting the data-driven operating system and the integrated execution platform."
Meanwhile, along with the 'ai native factory,' onepredict plans to showcase equipment diagnostic solutions such as 'guardione turbo' and 'guardione substation' at this exhibition. Through this, the company aims to comprehensively present an industrial AI architecture that expands from equipment-level diagnostics to integrated factory-level operations.
Reporter Jae-hwang Kim, HelloT | Source: HelloT (https://www.hellot.net/news/article.html?no=110731)
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▲ Source - onepredict
onepredict, a specialized industrial AI enterprise, will participate in AW2026, held at COEX in Seoul from March 4 to 6, to officially unveil its next-generation manufacturing innovation model, 'ai native factory,' which realizes a 'factory driven by AI.'
The 'ai native factory' proposed by onepredict is a manufacturing operating system that designs the entire process of factory data collection, analysis, learning, and execution centered around AI. Moving beyond simple automation, it aims for a structure where AI performs decision-making and operational optimization based on real-time data.
At this exhibition, the company will introduce implementation strategies for the 'ai native factory,' focusing on the 'ai factory os' architecture. The manufacturing data & MLOps platform 'cyclone', which transforms multimodal raw data from manufacturing sites into 'AI-Ready Data,' establishes the foundation. Then, the Manufacturing Foundation Model (MxFM) adapts to the field data and expands into the domains of maintenance, quality, and energy. Subsequently, the AI-based integrated industrial asset management platform 'pdx' consolidates operation systems at the line, process, and factory levels, connecting them all the way to the execution stage.
Official conference presentations will also take place during the exhibition. On March 4, Min-seok Sung, Vice President of onepredict, will present on the topic 'Factory Driven by AI, ai native factory' during the keynote session of the 'AI Autonomous Manufacturing Innovation Conference' held in Room 307 on the 3rd floor of COEX. On March 5, at the 'Industrial Intelligence Conference' held in Hall E, he plans to explain data architecture strategies as the core of AI transformation under the theme 'The Starting Point of Autonomous Manufacturing: Data Operating System.'
Internal seminars will also be operated for three days at the booth (Hall C, Booth C360). 20-minute sessions will run repeatedly covering topics such as 'Factory Driven by AI,' 'Manufacturing AI Problem-Specific Models and Foundation Models,' 'cyclone-based Data Collection and Analysis Platform,' and 'pdx-based Integrated Industrial Asset Management.' These sessions will be integrated with on-site demos and technical consultations.
"A factory driven by AI is not just about improving parts of existing manufacturing operations; it is a concept of redesigning the operation structure itself with AI at its core," said Ilsang Yoon, Marketing Team Leader at onepredict. "At AW2026, we will present a concrete transition model connecting the data-driven operating system and the integrated execution platform."
Meanwhile, along with the 'ai native factory,' onepredict plans to showcase equipment diagnostic solutions such as 'guardione turbo' and 'guardione substation' at this exhibition. Through this, the company aims to comprehensively present an industrial AI architecture that expands from equipment-level diagnostics to integrated factory-level operations.
Reporter Jae-hwang Kim, HelloT | Source: HelloT (https://www.hellot.net/news/article.html?no=110731)