Neuromapper (coordinator) built an open cloud platform for brain analytics; PRECISE4Q used their infrastructure for stroke data processing.
QMENTA IMAGING, SL
Barcelona SME building cloud platforms for brain imaging analytics, applied to stroke prediction and personalised neurology.
Their core work
QMENTA is a Barcelona-based SME that develops cloud-based platforms for advanced brain imaging analytics. They provide tools for collaborative neuroimaging data processing, enabling researchers and clinicians to analyze brain scans at scale. Their work spans from pain neuroscience research infrastructure to predictive modeling for stroke outcomes, positioning them at the intersection of medical imaging software and clinical decision support.
What they specialise in
PRECISE4Q applied machine learning and hybrid models to predict stroke outcomes and personalize treatment quality of life.
PRECISE4Q involved big data harmonisation and semantic integration across clinical datasets for personalised medicine.
FRESCOatCNAP involved human pain research, neural engineering, and PhD training in pain neuroscience, where QMENTA likely provided imaging tools.
How they've shifted over time
QMENTA's early H2020 work (2017) split between building their core product — a cloud brain analytics platform (Neuromapper) — and supporting pain neuroscience research training (FRESCOatCNAP). By 2018, they shifted toward clinical application, joining PRECISE4Q to apply machine learning and big data approaches to stroke prediction and personalised medicine. The trajectory shows a clear move from platform development and basic research support toward applied clinical decision-making tools.
QMENTA is moving from general neuroimaging infrastructure toward disease-specific clinical AI applications, making them increasingly relevant for digital health and personalised medicine consortia.
How they like to work
QMENTA takes varied roles — they coordinated their own SME instrument project (Neuromapper), participated as a key partner in a large health research consortium (PRECISE4Q), and contributed as a third party to a training network (FRESCOatCNAP). With 25 unique partners across 14 countries from just 3 projects, they operate in broad international consortia rather than tight repeat-partner clusters. This flexibility suggests they adapt well to different consortium structures and can serve as either a technology provider or a co-developer.
Despite only 3 projects, QMENTA has connected with 25 partners across 14 countries, largely through the large PRECISE4Q and FRESCOatCNAP consortia. Their network is strongly European with no apparent geographic concentration beyond their Spanish base.
What sets them apart
QMENTA occupies a specific niche: they are one of few European SMEs offering a cloud-native, collaborative platform purpose-built for brain imaging analytics. Unlike academic neuroimaging groups, they bring a product-oriented mindset and scalable infrastructure. For consortium builders, they offer a rare combination — a commercial software company that understands both the technical demands of neuroimaging research and the clinical needs of personalised medicine.
Highlights from their portfolio
- PRECISE4QLargest funding (EUR 392,500) and most thematically rich project — combining machine learning, big data, and personalised medicine for stroke quality of life prediction.
- NeuromapperQMENTA's only coordinated project, an SME Instrument Phase 1 to validate their core cloud brain analytics platform for market readiness.