Industrial AI company onepredict participated in Smart Factory + Automation World 2026 (AW 2026), held at COEX from March 4–6, where it showcased its flagship solutions: cyclone, an AI/ML model development platform, and pdx, a Manufacturing AI Operations Platform.
cyclone is an AI/ML model development platform that enables data scientists to focus entirely on building AI and machine learning models. It supports the entire AI/ML development lifecycle, including data preparation, cataloging, experiment management, model packaging, deployment, and model serving.
Rather than directly deploying AI models to manufacturing sites, cyclone is designed to improve the efficiency of the development process itself. By minimizing the time data scientists spend on data preparation and preprocessing, it allows them to focus on solving real industrial challenges.
pdx is the application platform where AI models developed with cyclone are deployed and operated in real manufacturing environments. It provides intuitive dashboards that visualize AI analysis results, supporting evidence, and recommended actions for use cases such as equipment anomaly detection, quality inspection, and process optimization.
The platform supports a broad range of manufacturing operations, including Predictive Maintenance (PdM), Quality Management (QMS), and Manufacturing Execution Systems (MES), while enabling seamless integration and collaboration across these operational domains.
Based on this comprehensive coverage, onepredict positions pdx not simply as an application, but as a Manufacturing AI Operations Platform.
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Industrial AI company onepredict participated in Smart Factory + Automation World 2026 (AW 2026), held at COEX from March 4–6, where it showcased its flagship solutions: cyclone, an AI/ML model development platform, and pdx, a Manufacturing AI Operations Platform.
cyclone is an AI/ML model development platform that enables data scientists to focus entirely on building AI and machine learning models. It supports the entire AI/ML development lifecycle, including data preparation, cataloging, experiment management, model packaging, deployment, and model serving.
Rather than directly deploying AI models to manufacturing sites, cyclone is designed to improve the efficiency of the development process itself. By minimizing the time data scientists spend on data preparation and preprocessing, it allows them to focus on solving real industrial challenges.
pdx is the application platform where AI models developed with cyclone are deployed and operated in real manufacturing environments. It provides intuitive dashboards that visualize AI analysis results, supporting evidence, and recommended actions for use cases such as equipment anomaly detection, quality inspection, and process optimization.
The platform supports a broad range of manufacturing operations, including Predictive Maintenance (PdM), Quality Management (QMS), and Manufacturing Execution Systems (MES), while enabling seamless integration and collaboration across these operational domains.
Based on this comprehensive coverage, onepredict positions pdx not simply as an application, but as a Manufacturing AI Operations Platform.