SciTransfer
Organization

MOXOFF SPA

Milan-based SME turning mathematical modeling into simulation-as-a-service platforms for industry, healthcare, and European cloud infrastructure.

Technology SMEdigitalITSMENo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
1
Total EC funding
€211K
Unique partners
104
What they do

Their core work

Moxoff is a Milan-based SME specializing in applied mathematics and numerical simulation, translating complex mathematical models into software solutions for industry. They develop simulation-as-a-service platforms for engineering applications, from industrial furnace design to medical risk assessment for aortic aneurysms. Their work bridges the gap between academic mathematical research and practical industrial tools, with growing involvement in European cloud and e-infrastructure services.

Core expertise

What they specialise in

Mathematical modeling and numerical simulationprimary
3 projects

Core competency across all three projects — from aortic aneurysm risk modeling (math4AAArisk) to industrial simulation (SaaStified) to cloud service integration (EOSC-hub).

Simulation-as-a-Service (SaaS) platformsprimary
1 project

Coordinated SaaStified, building a cloud-based simulation platform specifically for industrial furnace engineering design.

Biomedical computational modelingsecondary
1 project

Contributed to math4AAArisk, developing a mathematical platform for abdominal aortic aneurysm risk assessment and surgical planning.

Evolution & trajectory

How they've shifted over time

Early focus
Domain-specific simulation tools
Recent focus
Cloud-based science infrastructure

Moxoff's early H2020 work (2015-2017) focused on applying mathematical modeling to specific domain problems — biomedical risk assessment and industrial simulation tools. By 2018, they shifted toward broader cloud infrastructure, joining the large-scale EOSC-hub project to integrate simulation services into the European Open Science Cloud. This trajectory suggests a move from building standalone simulation tools to embedding their mathematical capabilities within shared European digital infrastructure.

Moxoff appears to be positioning its mathematical simulation expertise for delivery through European cloud platforms, making them a potential partner for projects needing computation-as-a-service components.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European34 countries collaborated

Moxoff operates flexibly — they coordinated their own SME instrument project (SaaStified) while also contributing as a specialist partner in larger consortia. Their participation in EOSC-hub (a massive multi-partner initiative with 100+ organizations across 34 countries) shows they can function within very large collaborative structures. With 104 unique consortium partners across just 3 projects, they are clearly comfortable in broad, international networks rather than small closed teams.

Despite only three projects, Moxoff has collaborated with 104 unique partners across 34 countries, largely driven by the massive EOSC-hub consortium. Their network is pan-European with no visible geographic concentration beyond their Italian base.

Why partner with them

What sets them apart

Moxoff occupies a niche as a mathematical modeling SME that can translate abstract numerical methods into usable industrial software. Unlike pure academic groups, they build commercial-grade simulation platforms; unlike large software vendors, they bring deep mathematical research capability. Their ERC Proof-of-Concept origin (math4AAArisk) suggests strong roots in academic excellence with a clear drive toward market application.

Notable projects

Highlights from their portfolio

  • SaaStified
    Moxoff's own coordinated SME Instrument project — their clearest statement of commercial ambition, building simulation-as-a-service for industrial furnace design.
  • EOSC-hub
    Major pan-European infrastructure project (100+ partners, 34 countries) integrating cloud services — shows Moxoff can contribute to large-scale digital infrastructure initiatives.
  • math4AAArisk
    ERC Proof-of-Concept project applying mathematical modeling to medical surgical planning — demonstrates the cross-domain versatility of their core competency.
Cross-sector capabilities
Health and biomedical engineeringManufacturing and industrial process optimizationCloud computing and e-infrastructuresEnergy-intensive industry simulation
Analysis note: Profile based on only 3 projects with modest funding (EUR 211K total). The mathematical simulation core is clear, but the breadth of domain applications (medical, industrial, cloud) makes it hard to pinpoint their primary market focus with confidence. The early-period keyword data was empty, limiting evolution analysis. Website verification recommended for current service offerings.