SciTransfer
Organization

OROBIX SRL

Italian AI and GPU computing SME applying computer vision and high-performance computing to scientific data, surgical robotics, and cardiac simulation.

Technology SMEdigitalITSME
H2020 projects
3
As coordinator
0
Total EC funding
€135K
Unique partners
63
What they do

Their core work

Orobix is an Italian AI and computer vision SME based in Bergamo that applies machine learning, GPU computing, and 3D reconstruction techniques to demanding scientific and medical domains. Their contributions span from processing large-scale astronomical data and building virtual observatory tools, to enabling autonomous navigation for surgical robots, to accelerating cardiac electrophysiology simulations on GPU architectures. They act as a specialized technology provider, bringing AI and high-performance computing capabilities into large research consortia that need these skills but lack them in-house.

Core expertise

What they specialise in

AI and computer vision for medical roboticsprimary
2 projects

ATLAS focused on autonomous navigation and 3D reconstruction for minimally invasive surgery; MICROCARD applied GPU-based solvers to cardiac modeling.

GPU and high-performance computingprimary
2 projects

Both MICROCARD (GPU solvers, exascale computing) and ESCAPE (big data, data lake processing) required HPC expertise.

Scientific data infrastructure and open sciencesecondary
1 project

ESCAPE project contributed to EOSC and virtual observatory tools for major European research infrastructures (CERN, ESO, SKA).

3D reconstruction and autonomous navigationemerging
1 project

ATLAS project specifically required 3D reconstruction and autonomous navigation for continuum robotics in surgical settings.

Evolution & trajectory

How they've shifted over time

Early focus
Scientific data processing
Recent focus
Medical AI and GPU computing

Orobix entered H2020 in 2019 with contributions to large-scale scientific data processing for astronomy and particle physics (ESCAPE project, working with CERN and ESO data). By 2021, their focus had shifted decisively toward medical and computational biology applications — surgical robotics with AI-driven navigation (ATLAS) and GPU-accelerated cardiac simulation (MICROCARD). The common thread throughout is AI and GPU computing, but the application domain has moved from fundamental physics infrastructure toward healthcare and life sciences.

Orobix is moving toward AI-powered medical applications, particularly where GPU computing, 3D reconstruction, and autonomous systems intersect with healthcare — expect them to seek projects in surgical AI, medical imaging, or computational medicine.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European11 countries collaborated

Orobix has never coordinated an H2020 project, consistently joining as participant or third party — the role of a specialist contributor brought in for specific technical capabilities. Their 63 unique partners across 11 countries indicate they work in large consortia (typical of RIA and MSCA projects), contributing focused AI/computing expertise rather than leading the research agenda. This makes them a low-risk, high-value addition to any consortium needing applied AI or GPU computing skills.

Despite only 3 projects, Orobix has built a network of 63 partners across 11 countries, a consequence of participating in large European research infrastructure and training network consortia. Their network spans major European research nations but is rooted in Italy.

Why partner with them

What sets them apart

Orobix bridges the gap between AI/computer vision research and real-world scientific and medical applications — a rare combination for an SME. While many AI companies focus on commercial products, Orobix has proven experience embedding its technology into demanding research environments from particle physics to surgical robotics. For consortium builders, they offer a compact, flexible team that can deliver GPU computing and AI components without the overhead of a large partner.

Notable projects

Highlights from their portfolio

  • MICROCARD
    Pushes GPU computing to exascale for cardiac simulation — positions Orobix at the frontier of computational medicine.
  • ESCAPE
    Massive open science infrastructure project connecting Europe's top research facilities (CERN, ESO, SKA) — places Orobix in the EOSC ecosystem.
  • ATLAS
    Ambitious MSCA training network applying AI to autonomous surgical robotics across vascular surgery, colonoscopy, and ureteroscopy.
Cross-sector capabilities
health and medical devicesspace and astronomy data processinghigh-performance computing infrastructurecomputational biology
Analysis note: With only 3 projects and no coordinator roles, the profile is inferred primarily from project keywords and topics. The AI/GPU computing thread is consistent across all projects, giving reasonable confidence in the core expertise claim. However, Orobix's specific contributions within each consortium cannot be verified from project-level data alone — they may have had narrow task-level roles rather than broad domain expertise in each area.