Ha Seungjae, AIBIZ CEO: "Expanding Process Diagnostics AI Platform 'Dutchboy' Globally"

"Manufacturing AI: Factory-Floor Results... From Automation to Autonomy"
LG CNS Partners on Anomaly Detection in Optical Module Manufacturing Process

"We aim to establish a new global standard for industrial AI with AI technologies proven on manufacturing floors in South Korea."

Ha Seungjae, CEO of AIBIZ, said on October 22 at the AIBIZ Global Manufacturing AI Summit 2026, held at Josun Palace in Gangnam-gu, Seoul, that the company plans to expand its business into the global manufacturing market, led by its process diagnostics AI platform, Dutchboy.

AIBIZ is an AI startup that analyzes data from manufacturing sites to detect process anomalies and identify their causes. At the event, participants shared examples and results of AI use in manufacturing and discussed strategies for applying AI in global manufacturing with industry and academic representatives.

Ha Seungjae, CEO of AIBIZ, speaks at the AIBIZ Global Manufacturing AI Summit 2026, held at Josun Palace in Gangnam-gu, Seoul, on the 22nd. Photo by Lee Eunseo.

Ha emphasized that manufacturing AI must begin with solving problems on the factory floor. "No matter how advanced an AI technology is, it is difficult for it to be recognized as valuable if it cannot solve problems and deliver results in actual manufacturing settings," he said. "We will not stop at developing a single AI solution well." The aim, he said, is to grow beyond carrying out projects for individual clients and become a manufacturing AI platform and product company serving 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 analytics engine with industry-specific features. Its product lineup targets not only front-end and back-end semiconductor processes but also camera modules, secondary batteries, solar power, plants, water treatment, and steel. Its strategy is to reuse core technologies for analyzing data accumulated over time across different industries, while tailoring their application to each customer's data and operating conditions.

The presentations also shared examples of collaboration to bring manufacturing AI into practical use on the factory floor. AIBIZ is working with LG CNS to apply AI-based anomaly detection technology to LG Innotek's camera optical module manufacturing process. Whereas equipment anomalies were previously assessed based on a single key variable, the new approach learns from normal data collected by multiple sensors to identify complex anomalies and automate cause analysis and alerts.

"AI's true competitive edge lies not so much in the technology itself as in the tangible results it delivers on the factory floor," Ha said. "We began in the semiconductor industry and are broadening the scope of our technology to a range of industries, including camera modules, secondary batteries, solar power, and steel."

This content was produced with the assistance of AI translation services.