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Heavy engineering plants often struggle with the dark data of non-automated equipment like manual welding machines and portable milling tools. This case study details the deployment of an IoT-driven Smart Factory framework designed to bring visibility to manual fabrication processes.

This case study examines the digital transformation of a precision manufacturing facility specializing in high-compliance components. The objective for the factory was to eliminate manual, paper-based tracking and move toward a real-time Digital Twin environment to ensure 100% traceability and optimized machine performance.

Industry: Mineral Exploration and Mining Geology Context Traditional mineral exploration is a high-risk, high-cost endeavor with low success rates. This case study outlines Zwilling Labs’ AI-driven approach to integrate geophysical data and geological modeling to optimize borehole drilling. The Problem Geological datasets (magnetic surveys, topography, borehole logs) are often siloed. Interpreting 3D magnetic inversions manually is time-consuming and prone to subjective bias,

Complex laboratory equipment, such as Scanning Electron Microscopes (SEMs), requires extreme uptime for research and industrial QC. This study explores the creation of a Smart Lab environment through instrument Digital Twins.