MX3D BV

Their core work

MX3D BV is an Amsterdam-based technology SME specializing in robotic metal additive manufacturing, specifically directed energy deposition (DED) — a process that builds complex metal structures layer by layer using robotic arms. They contribute both hardware expertise and digital intelligence to manufacturing workflows, including automated process control, cybersecured data pipelines, and quality certification for metal components. Beyond industrial production, their research extends to computationally optimized structural design using topology optimization, generative design, and machine learning. They sit at the intersection of advanced fabrication hardware and digital engineering, making them a rare bridge between factory-floor manufacturing and academic structural research.

What they specialise in

How they've shifted over time

MX3D's early H2020 work (INTEGRADDE, starting 2018) was firmly rooted in industrial manufacturing: building a certified, automated, digitally secured pipeline for producing metal components via directed energy deposition — a factory-oriented, process-engineering challenge. By 2021, with ADDOPTML, the focus shifted markedly toward computational design intelligence — topology optimization, generative design, and machine learning — with an unexpected humanitarian dimension in the form of deployable emergency shelter structures. The trajectory suggests a company moving from proving that robotic metal 3D printing works reliably at industrial scale, toward asking how the resulting parts should be designed to be optimally efficient for any application, including non-industrial ones.

MX3D appears to be evolving from a process-focused manufacturing specialist toward a design-and-fabrication integrator — combining generative design and machine learning with their core metal printing capability, which broadens their relevance for sectors beyond traditional heavy industry.

How they like to work

MX3D has participated exclusively as a consortium partner, never leading an H2020 project — a pattern consistent with a technology SME that contributes specialized hardware and process expertise within larger, research-led teams. Remarkably, their two projects generated 42 unique partners across 14 countries, indicating they consistently join large international consortia rather than small bilateral arrangements. This suggests working with MX3D means gaining access to a well-connected partner with broad consortium experience, though organizations seeking a project coordinator should look elsewhere.

With 42 unique consortium partners across 14 countries from just two projects, MX3D has built a surprisingly broad European network for its size — each project they joined was a large, multi-partner initiative. Their connections span manufacturing, digital, and research excellence ecosystems across Europe.

What sets them apart

MX3D occupies an uncommon position: a private SME that operates both as a real-world robotic metal 3D printing company and as an active research partner in EU-funded projects tackling certification, digital pipelines, and structural optimization. Most companies at their scale either sell machines or do contract manufacturing — MX3D participates in foundational research on how those processes should work. Their ADDOPTML project's humanitarian angle further differentiates them, demonstrating a willingness to apply frontier manufacturing technology to social impact challenges, which opens doors to a wider range of funding sources and consortium types.

Highlights from their portfolio

• INTEGRADDE
  MX3D's largest funded project (EUR 546,812), tackling the full DED manufacturing chain — from cybersecured data pipelines to certified metal output — one of few H2020 projects combining industrial AM with explicit cybersecurity requirements.
• ADDOPTML
  Distinctive for combining additive manufacturing with machine learning and applying the result to humanitarian crisis response (deployable shelter structures), a rare socially-oriented use case for an industrial metal printing SME.