Consortium launches end-to-end AM digital thread for proactive process-level QA

Melotte, Additive Center and amsight GmbH announced an operational deployment in February 2026 of a comprehensive data-capturing system at Melotte’s production facility in the Netherlands that captures structured data from raw material intake through build, post‑processing and final CT scanning and links powder chemistry, build parameters and final internal geometry in a single digital record for each part. The partners position the rollout as a practical shift from inspection-driven QC to proactive, process-level assurance.

Manufacturing-update and Manufacturingtomorrow framed the deployment as a critical step in the industrialisation of semiconductor component manufacturing, with press material listing EINDHOVEN / ZONHOVEN / HAMBURG as the announcement locations. The consortium says the system moves “beyond theory” by operationalising a single, connected view of each part’s history to meet semiconductor supply chain demands for traceability, repeatability and process stability.

Technically, the implementation captures data at four explicit stages: raw material intake with powder chemistry records, the build process with machine and laser data, post‑processing steps, and final CT scanning. Partners describe the result as an end-to-end digital thread that ties powder chemistry, build parameters and final internal geometry together so each part carries a unified process record. Eurekamagazine reported that “The amsight software suite is fully deployed in Melotte’s industrial environment and embedded in daily workflows.”

Additive Center’s Harry Kleijnen emphasized the practical distinction the project aims to deliver: “The industry often mistakes ‘machine monitoring’ for ‘process control,’” he said. “What we have achieved with Melotte and amsight is the integration of the total process. We aren’t just looking at the laser; we are looking at the entire lifecycle of the part. This is the first step towards increasing process understanding and thus reducing the use of CT scanning.”

Manufacturingtomorrow and Manufacturing-update promoted the deployment with the headline-style claim: “From Inspection to Prediction: Structured process data can now be visualised to show process stability and variation, enabling the introduction of Statistical Process Control (SPC) and deeper process understanding.” TCT reported partners plan to analyse historical data to identify critical-to-quality (CTQ) parameters with the stated aim of reducing inspection overhead while increasing compliance and predictability.

The consortium frames the work as “Breaking the ‘Printer-Only’ Data Silo” and a potential blueprint for semicap suppliers and high‑tech value chains across the Netherlands. 3dprint noted amsight is a Hamburg startup focused on end-to-end QC software and linked the effort to broader semicap OEM needs for flexible production amid uncertainty in the AI-driven market.

Key limitations remain public: none of the consortium materials provide counts of parts processed, quantified CT scanning reductions, specific machine or CT scanner models, data architecture details, or third-party validation. Partners’ operational claims and SPC ambitions are clear in the announcement, but metrics, timelines and technical integration standards were not disclosed. The partners say the system is now live at Melotte and will be used to drive CTQ analysis and process control work that could reduce reliance on 100% end-of-line CT inspection; independent verification and performance data will be the next milestones to watch.