As additive manufacturing pushes deeper into high-stakes production environments, the pressure on manufacturers to demonstrate capability and consistency is intensifying. The latest collaboration between industrial AM quality software specialist amsight and precision contract manufacturer toolcraft reflects the need to overcome this pressure, especially for the semiconductor sector.
Under the agreement, toolcraft is deploying amsight’s digital quality backbone across its AM workflows. This connects machine data, process information, and inspection results into a single traceable framework. The goal is straightforward: reduce manual effort, enable statistical process control (SPC), and give production teams faster, more reliable insight into process behavior.
This is not toolcraft’s first move toward smarter, more connected manufacturing. Regular readers may recall our coverage of the company’s robotic solutions for combined additive and subtractive workflows, its dry ice blasting system for metal AM post-processing, and its long-running partnership with Farsoon Europe to push the boundaries of AM series production, all of which reflect a consistent strategy of integrating advanced capabilities into a mature, high-precision manufacturing operation.
Semiconductor requirements and software integration
The semiconductor ambition, however, adds a new layer of rigor. As we noted when covering toolcraft’s earlier collaboration with Siemens Digital Industries, the company has been deliberately building toward demanding sectors where traceability and repeatability are non-negotiable.
amsight, for its part, has been steadily extending its footprint in the industrial AM ecosystem. The software company first drew significant attention through its inclusion in Aconity3D’s machine configurator. This made its data management and analytics platform directly accessible to end users of one of the sector’s most research-oriented metal AM systems.
Speaking of this collaboration, Maximilian Seßner, Process Development Engineer at toolcraft, explains: “Standardized data evaluation and SPC-based analysis are becoming increasingly important as AM production matures and expands into demanding sectors such as semiconductor manufacturing.”
Connecting data, shortening the time from build completion to decision-making, and detecting process drift earlier are increasingly the baseline requirements for any AM supplier seeking a credible role in regulated, precision-critical supply chains.
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