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Organization

EBAMED SA

Swiss MedTech SME developing AI-guided proton therapy device for non-invasive cardiac arrhythmia treatment.

Technology SMEhealthCHSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
2
Total EC funding
€2.5M
Unique partners
0
What they do

Their core work

EBAMED SA is a Swiss medical device startup developing Cardio-kit, a device designed to make proton therapy a viable, non-invasive treatment for cardiac arrhythmias — a condition currently addressed mainly through ablation or lifelong medication. Their core technical contribution is real-time heart motion tracking combined with machine learning to steer a proton beam automatically, compensating for cardiac movement during treatment. They progressed from feasibility validation (SME-1, 2019) to a full development project (SME-2, 2020–2023), indicating a mature product development trajectory. Their work sits at the intersection of radiation oncology hardware, cardiology, and embedded AI — a technically demanding niche with few competitors.

Core expertise

What they specialise in

Proton therapy for cardiac conditionsprimary
2 projects

Both Cardio-kit projects (SME-1 feasibility and SME-2 development) center on adapting proton beam delivery for non-invasive cardiac arrhythmia treatment.

Real-time heart motion trackingprimary
1 project

The SME-2 Cardio-kit project explicitly lists heart motion tracking as a core technical capability enabling accurate beam targeting during cardiac movement.

Machine learning for medical device controlprimary
1 project

Machine learning and real-time data processing are listed as key technologies in the SME-2 project, applied to automate beam adjustment during treatment.

Medical device development (MedTech SME)secondary
2 projects

EBAMED navigated the full SME Instrument pathway — from feasibility study to large-scale development — demonstrating structured product development competence.

Evolution & trajectory

How they've shifted over time

Early focus
Cardiac proton therapy feasibility
Recent focus
ML-driven real-time beam targeting

EBAMED's H2020 portfolio spans only 2019–2020, so there is no meaningful long-term evolution to trace — both projects are phases of a single product development. The SME-1 project (2019) carried no keywords, consistent with a pre-competitive feasibility study; all technical depth (proton therapy, machine learning, heart motion tracking) emerged in the SME-2 phase (2020). This reflects a startup maturing from concept to prototype rather than a shift in research direction. Their focus has remained tightly singular throughout.

EBAMED is moving from feasibility into full product development, suggesting they are approaching clinical validation or commercialization of Cardio-kit — making them a candidate for partnerships with hospitals, radiation oncology centers, or MedTech commercialization networks.

Collaboration profile

How they like to work

Role: consortium_leaderReach: regional

EBAMED operates exclusively as a solo coordinator through the SME Instrument (now EIC Accelerator), which by design funds individual companies without consortium requirements — so their zero-partner record reflects the funding instrument, not a preference for isolation. They have not appeared as a partner in other organizations' projects, suggesting they are a focused product company rather than a collaborative research group. Anyone engaging them should expect a company-led, product-driven dynamic rather than an academic consortium model.

EBAMED has no recorded consortium partners across their H2020 projects, which is expected given the solo-applicant nature of the SME Instrument. Their collaboration network within the EU research system is effectively unknown from this data alone.

Why partner with them

What sets them apart

EBAMED occupies a rare technical niche: applying proton therapy — a modality dominated by oncology — to cardiac arrhythmia treatment, a use case that almost no other European company is pursuing at this scale. Their combination of real-time motion compensation and machine learning for beam control is a specific engineering challenge that bridges radiation physics, cardiology, and embedded AI. For a consortium needing deep domain expertise in radiation-based cardiac devices or motion-adaptive treatment delivery, they have no obvious European equivalent among H2020 SMEs.

Notable projects

Highlights from their portfolio

  • Cardio-kit (SME-2)
    At €2.4M, this is one of the larger EIC SME Instrument Phase 2 grants and represents a full product development commitment to an entirely new clinical application of proton therapy.
  • Cardio-kit (SME-1)
    The SME-1 feasibility grant confirms the concept passed independent expert evaluation before the larger Phase 2 award — validating the technical premise of the approach.
Cross-sector capabilities
Medical AI and real-time diagnostic data processingRadiation physics and beam control systemsEmbedded machine learning for safety-critical devices
Analysis note: Only 2 projects, both phases of a single product — limiting confidence in network, collaboration style, and evolution analysis. The SME Instrument's solo-applicant design explains zero consortium partners, but no external data is available to assess clinical partnerships, team size, or commercial progress. Profile is accurate but narrow.