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Industrial AI Solution Leader Showcases CIM and Smart Manufacturing Solutions in Kuala Lumpur

| Source: ANTARA_ID Translated from Indonesian | Technology
Industrial AI Solution Leader Showcases CIM and Smart Manufacturing Solutions in Kuala Lumpur
Image: ANTARA_ID

Kuala Lumpur, Malaysia — Gtrontec, a global leader in industrial AI solutions, has showcased its integrated smart manufacturing solutions at the SEMICON Southeast Asia 2026 event held at MITEC, Kuala Lumpur. By participating in this exhibition, Gtrontec is strengthening its expansion across Southeast Asia.

Since establishing its Southeast Asian regional headquarters in Penang in 2023, Gtrontec has actively collaborated with various local factories and outsourced semiconductor assembly and test (OSAT) companies. Gtrontec assists industry players in overcoming production challenges and supports Penang’s transition towards a high-value manufacturing base, reinforcing Malaysia’s position as a global semiconductor hub.

Industrial CIM & AI Platform

Gtrontely introduced a full-stack CIM architecture supported by MES and EAP systems that control production processes in real-time and support more integrated machine-to-machine connectivity. Building on this foundation, Gtrontec’s industrial AI platform accelerates large-scale factory digitalisation. The IAM system embedded in this platform is also capable of continuously learning from factory operational data to optimise workflows, predict potential disruptions, and support automated data-driven decision-making.

AI-Powered Quality Assurance

Gtrontec also showcased a deep learning-based AOI system capable of detecting production defects with over 99% accuracy. This technology is enhanced by AI agents for production quality management, which categorise defects, trace root causes, recommend corrective actions, and learn from previous disruption patterns to prevent recurrence. This approach increases production yields while reducing product quality variation.

Smart Logistics & AMHS Integration

Gtrontec presented an Automated Material Handling System (AMHS) fully integrated with CIM. The AMHS supports intelligent material distribution, dynamic routing, and real-time tracking, ensuring that wafers, masks, and other supporting materials are delivered to the correct machines at the precise time. This integration is designed to reduce production bottlenecks and optimise material flow throughout the factory area.

Radar Production as a Case Study

Gtrontec also presented a case study on the implementation of its technology in the semiconductor packaging and testing sector for radar. In this project, Gtrontec’s AI-based CIM solution unified MES, EAP, RMS, TMS, SPC, PMS, and RPT to build a fully connected smart factory system. As a result, the system achieved 100% product traceability, reduced production cycles by 15%, and increased production yields to 95%.

Supporting Malaysia’s Semiconductor Vision

Gtrontec’s steps are considered aligned with the ‘New Industrial Master Plan 2030’ (NIMP 2030) and Malaysia’s National Semiconductor Strategy, which encourage the strengthening of advanced technology and smart manufacturing industries. Gtrontec continues to expand its business reach in Southeast Asia to enable manufacturers to increase operational visibility, accelerate decision-making, and enhance production efficiency.

About Gtrontec

Incubated by TCL in 2018, Gtrontec provides integrated industrial AI solutions for the semiconductor sector. Supported by autonomous decision-making technology for smart factories and a portfolio of AI agents for various industrial scenarios, Gtrontec offers integrated CIM and AMHS solutions for entire production facilities. Gtrontec’s services cover wafer fabrication, assembly, equipment automation, quality control, energy management, and logistics. With a business network spanning China, Southeast Asia, the Middle East, Europe, and America, Gtrontec supports increased production yields, extreme operational efficiency, cost optimisation, and the acceleration of advanced manufacturing transformation towards AI-based autonomous governance.

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