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AIBIZ CEO Ha Seung-jae: "Expanding Process Diagnostics AI Platform 'DutchBoy' Globally"

Source : Asia Economy (https://view.asiae.co.kr)

Registered : 2026-10-22

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AIBIZ CEO Ha Seung-jae: "Expanding Process Diagnostics AI Platform 'DutchBoy' Globally"
AIBIZ CEO Ha Seung-jae announced on the 22nd, at the 'AIBIZ Global Manufacturing AI Summit 2026' held at the Josun Palace in Gangnam, Seoul, that the company will expand into the global manufacturing market led by its process-diagnostics AI platform 'DutchBoy.' AIBIZ is an AI startup that analyzes manufacturing-site data to detect process anomalies and analyze their causes. The event shared AI use cases and results from manufacturing sites, and discussed strategies for applying AI to global manufacturing with industry and academic participants. CEO Ha emphasized solving on-site problems as the starting point for manufacturing AI. He said, "However excellent an AI technology may be, it is hard to be recognized as valuable unless it solves real problems and produces results on the actual manufacturing floor," adding, "We will not stop at building one AI solution well." The intent is to grow beyond executing individual customer projects into a manufacturing AI platform and product company usable across multiple industries. DutchBoy connects equipment, sensor, process, and inspection data to analyze anomalies in data that changes over time. AIBIZ is expanding its business by combining a shared AI analysis engine with industry-specific functions. Its product lineup covers not only semiconductor front-end and back-end processes but also camera modules, secondary batteries, solar, plants, water treatment, and steel. The strategy is to reuse the core technology that analyzes data accumulating over time across different industries, while adapting it to each customer's data and operating conditions. The presentation also shared collaboration cases for bringing manufacturing AI into real-world use. AIBIZ, together with LG CNS, is applying AI-based anomaly detection technology to LG Innotek's camera optical-module manufacturing process. Where equipment anomalies were previously judged based on a single key variable, the new approach learns normal data from multiple sensors to detect complex anomalies and automate cause analysis and alerts. CEO Ha said, "AI's real competitiveness lies not in the technology itself but in the tangible results it creates on the manufacturing floor," adding that the company is "expanding the technology's scope of application from the semiconductor industry into various industries such as camera modules, secondary batteries, solar, and steel."