The industry has moved beyond the question of whether additive manufacturing works.
The challenge now is how to establish robust, repeatable and auditable qualification pathways for deployable AM applications in sectors such as Energy, Defence, Transportation, including Aviation and Maritime.
Following the Stage 1 audit under operational field conditions and recent exchanges at AM Village in Spain, one thing became clear:
the next frontier of deployable AM is the development of structured, field-relevant qualification concepts for parts and processes in remote and time-critical environments.
Our long-term collaboration with Fieldmade is focused on exactly this challenge. The offer materials describe this as a strategic collaboration designed for scalable deployment in regulated industries.
Last week, we completed the Stage 2 audit for the NOMAD®03 equipment certification – an important milestone in the assessment of a documented and auditable deployable AM equipment setup within a defined certification scope. The internal offer documents explicitly describe a clearly defined equipment certification scope for NOMAD®03 and position the deployable unit as a certified, auditable and operationally controlled containerized AM solution.
Together, we are contributing to a more structured benchmark for deployable AM capability:
- Deployable NOMAD®03 systems within a structured equipment certification approach for field-based AM environments. The internal Fieldmade offer and performance overview both describe NOMAD®03 as a deployable/containerized AM solution and outline an equipment certification lifecycle.
- Part qualification capability supported by QamX as the digital backbone for traceability, risk assessment and audit-ready documentation. The offer documents explicitly describe QamX as the core enablement layer and digital qualification/evidence backbone for equipment certification, surveillance and risk management.
- A structured “Fieldgrade” approach for qualifying on-demand spare parts and supporting informed decision-making in high-integrity manufacturing environments.
Most importantly, this is not just a conceptual exercise.
The work is being developed with reference to live exercises and operational use cases, with the objective of strengthening the documented basis for reliability, traceability and confidence in deployable AM workflows.
This is where AM moves from promise toward structured operational deployment models.
More to come.
