ADAPT IT AE

Their core work

ADAPT IT AE is a Greek technology SME that builds software systems at the intersection of AI, data analytics, and digital infrastructure. Their most substantive EU work involves developing AI-powered tooling for medical imaging — specifically multimodal deep learning systems applied to cancer detection across breast, colorectal, and lung pathologies. They contribute software and integration expertise to large research consortia, bringing capabilities in federated learning, explainable AI (XAI), and interoperable data architectures to health data projects. Their earlier work in network middleware suggests a foundation in distributed systems that now underpins their health data engineering work.

What they specialise in

How they've shifted over time

In their first H2020 project (CASPER, 2016–2019), ADAPT IT worked on network middleware and service architecture — infrastructure-level software for next-generation connectivity. By their second project (INCISIVE, 2020–2024), the entire keyword profile had shifted to medical AI: cancer imaging, federated learning, XAI, and health data interoperability. This is not incremental drift but a deliberate pivot from telecom-adjacent software to health data AI — likely driven by where EU Horizon funding and commercial opportunities were growing fastest in that period.

ADAPT IT is heading deeper into health data AI — their INCISIVE footprint in federated learning and explainable AI positions them for future consortia in medical imaging, rare disease data sharing, or AI-assisted clinical decision support.

How they like to work

ADAPT IT has never coordinated an H2020 project — they consistently join as a technical participant within larger consortia. With 32 unique partners across just two projects, they operate inside big, multi-institutional teams rather than small bilateral partnerships. This profile suggests a company that is effective at integrating into complex project structures and delivering a defined technical work package rather than driving the overall project vision.

Despite only two projects, ADAPT IT has built connections with 32 unique consortium partners across 9 countries — a number that reflects participation in the large, well-funded consortia typical of RIA and MSCA-RISE calls. Their network is European in scope with no apparent concentration in any single country beyond Greece.

What sets them apart

ADAPT IT is one of relatively few Greek SMEs operating at the technical frontier of federated learning applied to clinical imaging data — a narrow but strategically valuable niche as European health data spaces mature under EHDS regulation. Their combination of distributed systems experience (CASPER) and medical AI delivery (INCISIVE) gives them a credible bridge between data infrastructure and AI application layers. For a consortium building a health data project that needs both interoperability engineering and ML capability from a single SME, ADAPT IT is an unusually compact fit.

Highlights from their portfolio

• INCISIVE
  Their largest and most technically ambitious project — a multimodal AI toolbox for cancer imaging involving federated learning, XAI, and blockchain-based data donation, funded at EUR 313,250 as part of a major EU health RIA.
• CASPER
  Their entry into H2020 via an MSCA-RISE mobility project focused on future network middleware, establishing the distributed systems foundation that later transferred into health data architecture work.