Establishing a digital platform that integrates the entire workflow
Advancing work process through AI-driven systems to deliver more competitive services

Techcross, a comprehensive environmental company, held the “Solution Introduction Agreement for Strategic Technology Cooperation between Techcross and Siemens Industry Software” signing ceremony on May 13 at the Techcross Busan factory together with Space Solution, a company specializing in PLM software development and consulting. Through this project, Techcross became the first company in the marine equipment industry to introduce the Siemens NX/PLM system, initiating the establishment of an AI-driven workflow based on a digitally integrated platform.

Based on the technological experise accumulated through the direct development, design, and manufacturing of eco-friendly marine equipment including ballast water management systems, Techcross has been pursuing the establishment of a digital platform capable of flexibly responding to the rapidly changing industrial environment. The newly introduced NX/PLM system is Siemens’ flagship Product Lifecycle Management (PLM) software, enabling integrated management of the entire process from product design and engineering to manufacturing. By linking it with Techcross’s existing ERP system, the company expects to further enhance both design and operational efficiency.

Previously, differences between design platforms often caused inconsistencies in data management, while manually checking individual datasets led to delays in work processes. However, with the introduction of the NX/PLM system, Techcross will establish a “predictive management” framework capable of data-driven analysis, as well as the standardization of design reference data, product specifications, and integrated document management. Through this system, the company expects to strengthen quality competitiveness and achieve cost reduction simultaneously by digitally integrating and managing the entire process from design and manufacturing to quality control and customer service.

The project aims to establish the integrated platform by the first quarter of 2027, followed by the implementation of full-scale AI-based work process starting in 2028 after system stabilization and data accumulation. Once completed, the project is expected to elevate company-wide operational capabilities to a new level, enabling enhanced customer satisfaction and more competitive services.