SciTransfer
Organization

PMOD TECHNOLOGIES GMBH

Swiss SME providing quantitative PET and molecular imaging software used in radiopharmaceutical and neurodegenerative disease research across Europe.

Technology SMEhealthCHSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
Unique partners
37
What they do

Their core work

PMOD Technologies develops and distributes the PMOD software platform — a widely used commercial tool for quantitative analysis of PET, SPECT, and MRI images in biomedical research settings. Their software handles kinetic modeling, image registration, region-of-interest analysis, and tracer quantification, tasks that PET researchers worldwide depend on for reproducible, publication-grade results. In both H2020 projects, PMOD participated as a third-party contributor rather than a full research partner, providing access to their software tools and expertise to support PhD training networks. Their business model is software licensing to academic hospitals, pharmaceutical companies, and research institutes — they do not perform primary research themselves but enable the quantitative imaging work of others.

Core expertise

What they specialise in

Quantitative PET image analysis softwareprimary
2 projects

Both HYBRID (2017) and PET-AlphaSy (2018) involved PMOD as a third-party software provider for PET-based research workflows.

Radiopharmaceutical research supportprimary
1 project

PET-AlphaSy directly cites radiopharmaceutical sciences as a keyword, with PMOD contributing imaging analysis infrastructure to the project.

Molecular imaging for neurological diseasesecondary
1 project

PET-AlphaSy focused on PET imaging of alpha-synuclein fibril formation in the context of Parkinson's disease, a direct application of PMOD's imaging platform.

MSCA doctoral training supportsecondary
2 projects

PMOD contributed to two MSCA-ITN training networks (HYBRID and PET-AlphaSy), providing software access and expertise to early-stage researchers.

Evolution & trajectory

How they've shifted over time

Early focus
Medical imaging software, entrepreneurship training
Recent focus
PET neuroimaging, Parkinson's biomarker research

With both projects clustered tightly in 2017–2018 and no keyword data attached to HYBRID, the evolution visible in this dataset is limited but telling. The first project (HYBRID) appears to be a broad entrepreneurship-oriented training network with no domain-specific keywords, suggesting PMOD contributed general software access or business-model know-how. By 2018, PET-AlphaSy shows a sharply focused application: PET imaging of alpha-synuclein as a Parkinson's disease biomarker — a technically demanding, clinically relevant use case for their software. The direction is from broad training participation toward specialized neuroimaging and neurodegenerative disease research as the primary application domain.

PMOD's most recent H2020 involvement points toward high-specificity neuroimaging — PET quantification for neurodegenerative disease biomarkers — which aligns with growing pharmaceutical industry demand for validated imaging endpoints in Parkinson's and Alzheimer's trials.

Collaboration profile

How they like to work

Role: infrastructure_providerReach: European10 countries collaborated

PMOD joined both projects exclusively as a third party, meaning they contributed tools or services under contract to the consortium rather than as a named research partner. This is a recurring pattern for software companies in MSCA networks: they provide platform access, training workshops, or data analysis pipelines to doctoral candidates without bearing primary research responsibilities. Working with PMOD likely means accessing their software through a research license or service agreement, not co-designing experiments — they are a resource, not a co-investigator.

Despite only two projects, PMOD's consortia exposed them to 37 unique partners across 10 countries — an unusually broad network for a two-project portfolio, reflecting the large multi-institution structure typical of MSCA-ITN networks. Their partners are predominantly academic research hospitals and university departments active in nuclear medicine and radiopharmaceutical sciences across Europe.

Why partner with them

What sets them apart

PMOD occupies a narrow but defensible niche: they are one of a handful of commercial vendors whose software is accepted as a standard tool in peer-reviewed PET research, giving them credibility in grant applications that generic image analysis packages lack. For a consortium building an MSCA or EIC project that includes PET imaging work, listing PMOD as a third-party partner signals methodological rigor and provides researchers with validated, well-documented analysis workflows. Their Swiss base and SME status also make them an attractive partner for projects requiring non-EU associated country participation.

Notable projects

Highlights from their portfolio

  • PET-AlphaSy
    Directly applied PMOD's imaging platform to one of the most active areas in neurodegeneration research — PET quantification of alpha-synuclein aggregates as a Parkinson's disease biomarker — connecting a software SME to high-value pharmaceutical imaging endpoints.
  • HYBRID
    An MSCA-ITN entrepreneurship training network that recruited PMOD as a third-party contributor, demonstrating the company's willingness to engage with doctoral training programs beyond pure technical software provision.
Cross-sector capabilities
Pharmaceutical drug development (PET-based imaging endpoints for clinical trials)Neuroscience research infrastructure (brain atlas registration, connectivity analysis)Medical device software (IEC 62304-adjacent workflows for imaging software validation)
Analysis note: PMOD participated in both projects as a third party, receiving no direct EC funding — their two-project H2020 footprint understates their actual standing in the field. PMOD software is a known commercial standard in academic PET centers globally; their reputation and partner network extend well beyond what the CORDIS data captures. The analysis relies heavily on external knowledge of the company's product to fill in what the project keywords alone cannot show. Treat specific capability claims as informed inference, not purely CORDIS-derived.