Received EUR 346,250 as a funded participant in CLARIFY (2020-2023), an RIA project building AI-driven follow-up support for breast cancer, lung cancer, and lymphoma survivors.
HOLOS SOLUÇÕES AVANÇADAS EM TECNOLOGIAS DE INFORMAÇÃO, S.A.
Portuguese IT SME delivering AI and data systems for cancer care and digital manufacturing in EU research consortia.
Their core work
HOLOS is a small Portuguese IT company based near Lisbon that applies advanced software and data-driven technologies to complex, domain-specific problems. Their H2020 track record shows a pattern of embedding IT expertise into large multidisciplinary research consortia — first as a digital systems contributor in an Industry 4.0 training network, then as a funded participant building AI-powered follow-up care tools for cancer survivors. Their core value in a consortium is translating domain knowledge into working software: data pipelines, machine learning models, and clinical or industrial information systems. They are not a research lab producing papers, but an applied IT company that makes research systems functional.
What they specialise in
Contributed as a partner (third party, no direct EC funding) to DiManD (2019-2024), an MSCA Training Network covering distributed manufacturing, cyber-physical systems, and manufacturing informatics.
Big data and manufacturing informatics appear in DiManD keywords; AI-driven analysis of multi-modal patient data is central to CLARIFY — both projects require data aggregation and processing at scale.
How they've shifted over time
HOLOS entered H2020 through an Industry 4.0 lens: their first project (DiManD, 2019) was about cyber-physical systems, autonomous manufacturing, and distributed production environments — core industrial digitalization territory. Within a year, they pivoted to digital health, joining CLARIFY (2020) to work on AI tools for long-term cancer survivor monitoring. The shift is sharp in topic but consistent in method: both projects require building intelligent software systems on top of complex, heterogeneous data. This suggests HOLOS is a generalist applied-IT firm that follows funding opportunities and partner networks across sectors, rather than a specialist deepening a single vertical.
Their most recent funded work is in digital health AI, suggesting they are repositioning toward health informatics and clinical decision-support — a sector with strong EU funding momentum — while retaining the manufacturing IT background as a secondary capability.
How they like to work
HOLOS has never led an H2020 project — all participation is as partner or participant, always embedded within larger consortia assembled by others. Their two projects collectively involve 38 unique partners across 9 countries, meaning they operate comfortably in large, internationally distributed teams. This profile fits a specialist IT contributor that is recruited into consortia for a specific technical work package, rather than an organization that drives research agendas or manages project governance.
Through just two projects, HOLOS has touched 38 unique consortium partners across 9 countries — an unusually broad exposure for a two-project portfolio, reflecting the large multi-partner structure typical of MSCA-ITN and RIA calls. No strong geographic concentration is visible beyond their Portuguese base.
What sets them apart
HOLOS is one of the few Portuguese IT SMEs with documented H2020 experience spanning both industrial IoT/manufacturing and clinical AI — two sectors that rarely share the same technical team. For a consortium coordinator who needs an agile software development partner willing to work across domain boundaries, this cross-sector flexibility is genuinely uncommon at SME scale. Their Lisbon-area location also makes them a natural fit for consortia seeking Iberian or Southern European industrial and health partners.
Highlights from their portfolio
- CLARIFYTheir only directly funded H2020 project (EUR 346,250), applying AI and machine learning to long-term follow-up care for cancer survivors across three cancer types — a high-visibility health-data challenge with clear commercialization paths.
- DiManDParticipation in an MSCA Innovative Training Network is unusual for a small commercial IT firm, signaling they can credibly bridge academic training environments and industrial digital-manufacturing practice.