In iToBoS (2021–2025), Ricoh Spain contributes AI cognitive assistant and explainable AI components for personalised melanoma risk assessment and total body mapping.
RICOH SPAIN IT SERVICES SLU
Enterprise IT services company applying AI cognitive tools and cloud infrastructure to medical diagnostics and open science data platforms.
Their core work
Ricoh Spain IT Services is the Spanish IT services arm of the global Ricoh Group, specializing in digital transformation, cloud infrastructure, and AI-powered data solutions for enterprise and research clients. In EU research projects, the company contributes its IT systems integration expertise — connecting scientific workflows to cloud platforms, building data pipelines, and deploying AI-driven tools for end users. Their two H2020 projects reveal a clear internal capability: taking complex data (whether from scientific instruments or medical imaging devices) and making it accessible, searchable, and actionable through smart software layers. They sit at the junction of enterprise IT and applied research, bridging laboratory-scale innovation and production-ready deployments.
What they specialise in
In NEANIAS (2019–2022), they supported novel EOSC services connecting underwater, atmospheric, and space research data to the European Open Science Cloud.
Across both projects, Ricoh Spain plays a participant role providing IT systems expertise within large multi-country consortia, not as a research lab but as a technology integrator.
iToBoS targets early melanoma detection via intelligent total body scanning, placing Ricoh Spain in the medical imaging AI space for the first time in H2020.
How they've shifted over time
Ricoh Spain entered H2020 through open science infrastructure — their NEANIAS project (2019) focused on cloud services for scientific data from ocean, atmosphere, and space research, reflecting their core competency in managing and serving large-scale data sets. By 2021, their second project shifted sharply toward applied AI in healthcare: explainable AI models, personalised diagnostic assistants, and automated image analysis for melanoma detection. The trajectory is clear — from data infrastructure to AI-powered applications, with health technology as the emerging destination.
Ricoh Spain is moving from backend data plumbing toward front-end AI applications in health, suggesting future consortium fit in digital health, medical AI, and clinical decision support projects.
How they like to work
Ricoh Spain has never led an H2020 project — they join as a participant in large Research and Innovation Actions, contributing a specific technology layer rather than driving scientific direction. Their 39 unique partners across 16 countries across just two projects indicates they work in broad, multinational consortia typical of large RIAs. This profile suggests they are comfortable as a specialist contributor within structured consortia where their IT or AI role is clearly scoped.
Despite only two projects, Ricoh Spain has accumulated 39 unique consortium partners across 16 countries — an unusually wide network for such a small H2020 footprint. Their partnerships span research institutions, technology companies, and clinical organizations, reflecting the broad consortia typical of RIA-funded projects in open science and health.
What sets them apart
Ricoh Spain brings something rare to research consortia: the IT delivery capability of a multinational technology company combined with hands-on experience in two distinct frontier domains — open science cloud services and medical AI. Unlike a pure research lab, they can translate research outputs into deployable IT systems, which is valuable for projects that need their tools to actually reach users. Their parent company's global footprint also means access to enterprise-scale resources, testing environments, and commercial go-to-market channels that purely academic partners cannot offer.
Highlights from their portfolio
- iToBoSThe largest-funded of their two projects (EUR 324,375) and the most distinctive — an intelligent total body scanner combining AI cognitive assistants, explainable AI, and personalised melanoma risk scoring, representing a significant leap into clinical AI.
- NEANIASAn ambitious multi-domain EOSC project covering underwater, atmospheric, and space data services simultaneously, where Ricoh Spain's IT integration role spanned three distinct scientific communities.