Building on its expertise in predictive maintenance, onepredict has identified an AI-powered manufacturing operating system (OS) as its next growth engine. As AI adoption accelerates across the manufacturing industry, the company aims to expand from data-driven analytics to an integrated platform for manufacturing operations while targeting KRW 20 billion in annual revenue to support its planned IPO.
At Smart Factory + Automation World 2026 (AW 2026), onepredict announced that it had begun commercializing an OS specialized in manufacturing context awareness. While many manufacturers already have tools to collect production data, the company believes there remains a significant gap in managing and utilizing that data in a contextual and integrated way.
Reflecting this vision, onepredict featured the slogan "AI Native Factory" at its exhibition booth. The concept represents a next-generation manufacturing model in which an AI-native operating system manages the entire manufacturing workflow—from data collection and analysis to learning and execution. Moving beyond conventional automation, the platform enables AI to make real-time operational decisions based on manufacturing data.
This strategy builds upon cyclone, onepredict's manufacturing-focused MLOps platform. Designed for predictive maintenance, cyclone analyzes accumulated manufacturing data to predict potential equipment failures by detecting subtle signs of degradation before they lead to operational issues.
While cyclone focuses on collecting, organizing, and preparing manufacturing data, pdx extends those capabilities by transforming data into operational context for decision-making. The platform supports a broad range of manufacturing applications, including Quality Management Systems (QMS), Programmable Logic Controller (PLC) integration, Manufacturing Execution Systems (MES) for production scheduling and recipe optimization, Maintenance Management Systems (MMS), and Factory Energy Management Systems (FEMS) for energy optimization and carbon reduction.
According to the company, the integration of cyclone and pdx is designed to create an AI-driven operating environment where AI proactively supports decision-making rather than simply responding to user requests. onepredict is expanding its customer base across high-availability industries such as petrochemicals, battery manufacturers, and other asset-intensive manufacturing sectors.
The company also reaffirmed its goal of achieving KRW 20 billion in annual revenue while continuing preparations for its initial public offering (IPO). onepredict plans to submit its IPO application to the Korea Exchange as early as the second half of the year, with a target of listing on the KOSDAQ market the following year.
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Building on its expertise in predictive maintenance, onepredict has identified an AI-powered manufacturing operating system (OS) as its next growth engine. As AI adoption accelerates across the manufacturing industry, the company aims to expand from data-driven analytics to an integrated platform for manufacturing operations while targeting KRW 20 billion in annual revenue to support its planned IPO.
At Smart Factory + Automation World 2026 (AW 2026), onepredict announced that it had begun commercializing an OS specialized in manufacturing context awareness. While many manufacturers already have tools to collect production data, the company believes there remains a significant gap in managing and utilizing that data in a contextual and integrated way.
Reflecting this vision, onepredict featured the slogan "AI Native Factory" at its exhibition booth. The concept represents a next-generation manufacturing model in which an AI-native operating system manages the entire manufacturing workflow—from data collection and analysis to learning and execution. Moving beyond conventional automation, the platform enables AI to make real-time operational decisions based on manufacturing data.
This strategy builds upon cyclone, onepredict's manufacturing-focused MLOps platform. Designed for predictive maintenance, cyclone analyzes accumulated manufacturing data to predict potential equipment failures by detecting subtle signs of degradation before they lead to operational issues.
While cyclone focuses on collecting, organizing, and preparing manufacturing data, pdx extends those capabilities by transforming data into operational context for decision-making. The platform supports a broad range of manufacturing applications, including Quality Management Systems (QMS), Programmable Logic Controller (PLC) integration, Manufacturing Execution Systems (MES) for production scheduling and recipe optimization, Maintenance Management Systems (MMS), and Factory Energy Management Systems (FEMS) for energy optimization and carbon reduction.
According to the company, the integration of cyclone and pdx is designed to create an AI-driven operating environment where AI proactively supports decision-making rather than simply responding to user requests. onepredict is expanding its customer base across high-availability industries such as petrochemicals, battery manufacturers, and other asset-intensive manufacturing sectors.
The company also reaffirmed its goal of achieving KRW 20 billion in annual revenue while continuing preparations for its initial public offering (IPO). onepredict plans to submit its IPO application to the Korea Exchange as early as the second half of the year, with a target of listing on the KOSDAQ market the following year.