In INCISIVE, they contributed AI, XAI, and neural network capabilities to a multimodal cancer imaging toolbox covering breast, colorectal, and lung cancer.
THRIDIUM LIMITED
London AI and VR technology SME delivering medical imaging AI systems and serious games training simulations in large EU research consortia.
Their core work
Thridium Limited is a London-based technology SME that builds AI-powered systems and immersive digital experiences for research and training applications. In healthcare, they contribute applied AI capabilities — including explainable AI, federated learning, and deep learning pipelines — to medical imaging workflows targeting cancer detection. In the security and legal domain, they develop serious games and virtual reality simulations for experiential professional training. Their value to research consortia lies in translating AI and immersive technology research into working prototypes and integrated software components.
What they specialise in
INCISIVE involved federated learning, data donation frameworks, and blockchain for health data governance, indicating hands-on technical depth in privacy-sensitive AI infrastructure.
LAW-GAME involved building an interactive, collaborative gamification system using virtual reality for effective legal and security professional training.
XAI appears explicitly in the INCISIVE keyword set, alongside AR and deep learning, suggesting Thridium worked on interpretability layers in AI diagnostic systems.
AR appears in INCISIVE and VR in LAW-GAME, suggesting a recurring capability in deploying immersive interfaces across both health and security contexts.
How they've shifted over time
Thridium's earliest H2020 work (INCISIVE, 2020) was deeply technical — federated learning, blockchain for health data, HPC, interoperability standards, and explainable neural networks applied to cancer imaging. Their second project (LAW-GAME, 2021) marks a shift in application domain toward immersive training environments, with serious games and VR as the primary outputs rather than AI infrastructure. The common thread across both periods is artificial intelligence, but the delivery format has moved from backend data analytics and model pipelines toward user-facing interactive simulation systems.
Thridium appears to be moving toward AI-enhanced immersive training applications, a convergence of their two project tracks that positions them well for future work in simulation-based learning, digital twins for training, or AI-assisted scenario generation.
How they like to work
Thridium has never led an H2020 project, participating exclusively as a consortium member — a pattern consistent with a specialist SME that provides focused technical deliverables within larger academically-led projects. With 45 unique partners across just 2 projects, they operate inside large, diverse consortia (roughly 22 partners per project on average), where they contribute specific AI or immersive technology modules rather than managing project governance. This makes them a low-overhead, high-skill partner for coordinators who need applied technology development without administrative burden.
Thridium has connected with 45 unique consortium partners across 14 countries from just two projects, building a broad European footprint rapidly and entirely through large RIA consortia. Their network spans both the health research and security/legal training communities across Europe.
What sets them apart
Thridium occupies an unusual dual position: they have verifiable research experience in both health AI (federated learning, XAI, cancer imaging) and immersive training technology (VR, serious games) — domains that rarely overlap in a single small company. As a London SME operating post-Brexit within EU consortia, they demonstrate an ability to navigate cross-border research partnerships while delivering concrete software artifacts. Consortia looking for an agile technology partner that can contribute AI pipelines or interactive simulation components — without the overhead of a large tech firm — would find Thridium a practical fit.
Highlights from their portfolio
- INCISIVETheir largest project (EUR 502,500) and technically the most complex, involving a full AI stack — federated learning, XAI, blockchain, HPC, and deep learning — applied to multimodal cancer imaging across three cancer types.
- LAW-GAMEDemonstrates Thridium's pivot into serious games and VR for security and legal professional training, showing cross-sector AI application beyond healthcare.