SciTransfer
Organization

DXC TECHNOLOGY SERVICIOS ESPANA SL

Enterprise IT services company delivering healthcare data interoperability, GDPR-compliant pipelines, and federated learning for clinical AI research.

Large industrial companyhealthESThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€316K
Unique partners
41
What they do

Their core work

DXC Technology is a large global IT services company that brings enterprise-grade data infrastructure, security architecture, and AI capabilities into health research consortia. In H2020 projects, they serve as the technical backbone — designing the systems that allow sensitive clinical and genomic data to flow safely between hospitals, universities, and research institutions. Their specific contributions include implementing healthcare data interoperability standards, building privacy-preserving and ethics-compliant data pipelines, and deploying federated learning frameworks that allow AI models to train on distributed clinical datasets without centralizing patient data. They are not a research lab — they are the company that makes large-scale health data research technically feasible and legally sound.

Core expertise

What they specialise in

Healthcare data interoperabilityprimary
2 projects

Both PERSIST and GenoMed4ALL required connecting heterogeneous clinical data sources; interoperability is an explicit keyword in PERSIST.

Privacy, security and data ethics in health researchprimary
2 projects

Privacy, security and ethics is a direct keyword from PERSIST (2020), reflecting regulatory compliance work on sensitive patient data.

Federated learning for distributed health AIemerging
1 project

GenoMed4ALL (2021-2025) explicitly lists federated learning as a core keyword, representing their most technically advanced contribution.

Big Data and AI in clinical settingsprimary
2 projects

PERSIST applies Big Data and AI to cancer survivorship care planning; GenoMed4ALL applies AI to multi-omics analysis in haematological diseases.

Multi-omics and genomic data processingemerging
1 project

GenoMed4ALL introduced multi-omics as a keyword, indicating DXC is building capability in handling complex genomic data types for personalized medicine.

Evolution & trajectory

How they've shifted over time

Early focus
Cancer survivorship data infrastructure
Recent focus
Federated learning, genomic AI

DXC's early H2020 engagement (PERSIST, 2020) was centered on patient-centric data infrastructure: building interoperable systems for cancer survivorship care while satisfying privacy and ethics requirements — essentially data plumbing with compliance guardrails. Their second project (GenoMed4ALL, 2021) marks a shift toward active AI development: federated learning and multi-omics processing require algorithmic sophistication beyond infrastructure work. The trajectory is clear — DXC is moving from being a data governance provider to becoming a contributor to the AI models themselves, specifically in the privacy-preserving distributed learning space.

DXC is moving from healthcare data compliance infrastructure toward privacy-preserving federated AI, positioning themselves as a technical partner for any consortium that needs to train models on sensitive distributed health data without centralizing it.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European16 countries collaborated

DXC participates exclusively as a consortium partner — they have never coordinated an H2020 project, which is consistent with how large IT services companies engage in public research: contributing defined technical workpackages rather than leading scientific direction. Their involvement in consortia averaging over 20 partners across 16 countries per project suggests they are experienced in large, multi-institution environments and deliver against specification rather than driving the research agenda. Expect reliable, structured delivery on data and technology workpackages, not scientific initiative.

From just 2 projects, DXC has connected with 41 unique partners across 16 countries — indicating involvement in large pan-European health research consortia with diverse national health systems and academic institutions. This breadth reflects the scope of the H2020 health pillar projects they joined, not a cultivated bilateral network.

Why partner with them

What sets them apart

DXC Technology occupies a rare position in health research consortia: an enterprise IT services company with the scale to handle production-grade data infrastructure, the compliance expertise to satisfy GDPR and medical ethics boards, and the emerging technical depth to contribute to federated AI development. Most private companies in EU health projects are either small specialized tech firms or domain-specific health IT vendors — DXC brings industrial-scale reliability and breadth of capability that smaller partners cannot match. For consortium coordinators assembling a team to work with real patient data at scale, DXC reduces the risk of technical and regulatory failure.

Notable projects

Highlights from their portfolio

  • PERSIST
    Their entry point into H2020 and the only project with confirmed EC funding (EUR 315,775), directly addressing cancer survivorship with Big Data and AI while explicitly tackling the privacy and ethics challenges that block most health data projects.
  • GenoMed4ALL
    Represents a significant technical step up — applying federated learning to multi-omics data in haematological diseases, one of the most technically demanding combinations in current health AI research.
Cross-sector capabilities
Privacy-preserving AI and federated learning (applicable to any sector with sensitive distributed data)Data interoperability and integration architectureRegulatory compliance and data ethics frameworksCloud and enterprise data infrastructure for research
Analysis note: Only 2 projects available, one with no EC funding recorded — this represents a thin slice of DXC Technology's actual business. EC funding figures likely understate their real contribution, as large IT companies often enter consortia with in-kind or co-funded roles. The profile accurately reflects their H2020 research footprint but should not be read as a full picture of the company's capabilities.