KLINGELNBERG has strengthened its digital manufacturing portfolio under the AIKTEC – Digital Solutions platform with the launch of Smart Tracing, a web-based analytics solution designed to improve transparency, traceability, and process visibility across CNC machine operations. The latest solution forms part of KLINGELNBERG’s broader Industry 4.0 strategy aimed at helping manufacturers digitize production environments, optimize machine performance, and improve operational efficiency through data-driven insights.
AIKTEC – Digital Solutions combines intelligent industrial applications that bring Internet of Things (IoT) and smart manufacturing technologies directly to the shop floor. While KLINGELNBERG has traditionally been associated with gear manufacturing technologies, the company’s digital solutions are designed for broader industrial applications across machine tools, woodworking, plastics processing, and interconnected manufacturing systems.
Smart Tracing has been developed as a browser-based platform capable of analyzing machine behaviour through detailed CNC servo trace data. The solution is positioned as a manufacturer-independent Data-Driven Quality Management (DDQM) platform that can be integrated with virtually any CNC machine regardless of the equipment supplier.
The software captures and processes high-frequency machine movement and control information, allowing manufacturers to visualize, archive, and evaluate performance indicators and process variations in real time. By analyzing time-series machine data, Smart Tracing provides insight into machine-specific operating characteristics often described as a unique “machine fingerprint.”
The platform enables manufacturers to monitor variables such as contour deviations, control regulation deviations, axis currents, and other machine performance indicators. These insights allow operators and engineers to identify cause-and-effect relationships across individual machines or entire production processes.
According to KLINGELNBERG, the solution transforms previously inaccessible machine-level data into actionable information that can support process optimization, predictive maintenance, quality assurance, and long-term production stability. The Smart Tracing platform also enables manufacturers to compare historical and real-time machine performance data against tolerance benchmarks, improving the ability to detect irregularities before they affect production quality or operational efficiency.
By increasing transparency within manufacturing environments, the solution aims to help companies move from assumption-based troubleshooting toward objective, data-supported process management. The company stated that this capability is becoming increasingly important as manufacturers seek higher productivity, tighter quality control, and improved traceability across digitally connected production systems.
KLINGELNBERG emphasized that AIKTEC – Digital Solutions has been developed specifically for industrial use and can be integrated into existing machine fleets without requiring major infrastructure changes. The flexibility of the platform allows manufacturers across multiple industries to adopt digital process monitoring technologies regardless of their existing machine ecosystem. The company also announced the launch of a dedicated landing page for the Smart Tracing solution to provide customers with deeper insight into the software’s capabilities and industrial applications.
As industrial manufacturers continue accelerating digital transformation initiatives, demand for advanced analytics, machine connectivity, and intelligent production monitoring solutions is growing rapidly. Companies are increasingly investing in systems capable of improving uptime, reducing process variability, and enabling predictive operational strategies.
KLINGELNBERG’s expansion of AIKTEC – Digital Solutions reflects the company’s continued investment in digital manufacturing technologies designed to support future-ready industrial operations. By combining machine analytics, IoT integration, and process transparency, the company aims to help manufacturers strengthen competitiveness while improving efficiency and production reliability in increasingly complex manufacturing environments.
