HAMBURG, Germany, Jun 5, 2026 – Industrial AM quality specialist amsight is working with precision manufacturing company toolcraft to implement a more automated, transparent, and scalable approach to additive manufacturing 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 comments,
“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 adds, “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.
“As AM scales into highly regulated and precision-critical sectors, quality management can no longer remain fragmented across spreadsheets and disconnected systems,” says Tim Wischeropp, CEO at amsight. “This collaboration with toolcraft demonstrates how manufacturers are moving toward integrated, data-driven quality strategies that support both operational efficiency and long-term scalability. It also shows toolcraft’s commitment to strengthen its leading position as a reliable contract manufacturer for regulated industries”
The collaboration underlines a broader shift within industrial AM, where process transparency, traceability, and repeatability are increasingly becoming central requirements for production adoption in high-value sectors such as semiconductors.
About amsight
amsight develops software for data-driven quality assurance and analytics in industrial Additive Manufacturing. The software covers the entire AM production chain — from raw material to final part — enabling reproducibility, traceability, statistical process control, and efficient root-cause analysis through advanced data analytics and AI.
amsight supports manufacturers and AM service providers in meeting the stringent quality and documentation requirements of regulated industries such as space, aviation, defense, and medical technology. For more information, visit https://www.amsight.de.
