Industrial AM quality specialist
amsight is working with precision manufacturing company
toolcraft to implement a more automated, transparent, and scalable approach to additive manufacturing (AM) quality management, with a particular focus on semiconductor-related production.
As part of the collaboration, toolcraft is deploying amsight’s digital quality backbone to connect and evaluate production data across its AM workflows, strengthening traceability, improving process understanding, and reducing the manual effort typically associated with reporting and analysis.
The initiative reflects toolcraft’s proactive investment in staying at the forefront of semiconductor supply chains, delivering precision and repeatability alongside fully documented, scalable production processes.
By building a stronger foundation for statistical process control (SPC) and data-driven decision-making, toolcraft aims to stabilise production, detect drift earlier, and support consistently high component quality as AM moves deeper into production-critical applications.
Christoph Hauck, executive board member for technology and sales at toolcraft, explained: “Semiconductor-related manufacturing environments demand extremely high levels of consistency, documentation, and process understanding. We see amsight as a partner that understands the realities of industrial AM production and the importance of connecting quality data in a meaningful and scalable way.”
By consolidating process and quality data in one environment, toolcraft aims to shorten the time from build completion to decision-making, enabling faster, more consistent reporting while reducing dependence on manual data handling. The result is expected to be clearer visibility into production behaviour, earlier identification of drift, and a more reliable basis for continuous optimisation across its AM operations.
Maximilian Seßner, process development engineer at toolcraft, added: “One of the key attractions of amsight is its ability to support process stability and scalability simultaneously. Standardised data evaluation and SPC-based analysis are becoming increasingly important as AM production matures and expands into demanding sectors such as semiconductor manufacturing.”
Unlike conventional quality systems that often operate in isolation from manufacturing workflows, amsight is specifically designed for industrial AM environments. It acts as a digital quality backbone, enabling manufacturers to connect machine data, process information, inspection results, and quality metrics into a single, traceable framework.
For amsight, the collaboration with toolcraft highlights the growing importance of production-level quality infrastructure in industrial AM.
Tim Wischeropp, CEO at amsight commented: “As AM scales into highly regulated and precision-critical sectors, quality management can no longer remain fragmented across spreadsheets and disconnected systems.
“This collaboration with toolcraft demonstrates how manufacturers are moving toward integrated, data-driven quality strategies that support both operational efficiency and long-term scalability.”