Samsung Partners With Galeon to Bring Web3 and AI Into Healthcare

Galeon’s Atlantis platform has been positioned as a hub for decentralized science, or DeSci, bringing together medical staff, patients, innovators and early adopters into one shared environment. The platform uses blockchain and encryption to secure patient records while creating structured datasets that can be used for training artificial intelligence models in a decentralized way. Rather than pooling raw health data in centralized repositories, Galeon employs a federated model that allows each hospital to keep control over its information while contributing algorithmic improvements to the broader system. The company describes this as Blockchain Swarm Learning, a method in which only anonymized updates and logs are shared across institutions.

In late 2024 Galeon also unveiled Atlantis as a community space with a gamified interface designed to lower barriers for users unfamiliar with Web3 technology. By providing a more accessible entry point, the platform seeks to bridge traditional healthcare participants with decentralized finance and governance tools. This is coupled with the launch of the $GALEON token, which gives patients, medical professionals and other stakeholders the ability to vote on which non-profit research projects should receive support. The intention is to democratize funding for scientific work and to ensure transparency in how resources are allocated, rather than relying solely on grants from centralized agencies or corporate sponsors.

The partnership with Samsung adds the crucial layer of medical imaging hardware and AI expertise from a global technology leader. According to Galeon’s announcement, Samsung will provide ultrasound and other imaging devices that integrate directly into Galeon’s electronic health record infrastructure. Once captured, the images will undergo anonymization and encryption before being processed in AI training pipelines. This model allows hospitals to benefit from more advanced diagnostic systems without surrendering sovereignty over their patient records. The companies emphasize that raw image data will remain with the hospitals themselves, while the blockchain is used to record algorithmic actions or updates in a traceable and auditable way.

The alliance is expected to have a strong impact in women’s health diagnostics, where ultrasound is a primary tool, particularly in obstetrics. By integrating Samsung’s ultrasound equipment directly with Galeon’s electronic health record, the alliance seeks to streamline patient tracking and reduce the inefficiencies that currently burden clinicians. Galeon’s EHR is already deployed in a network of French hospitals, including Rouen, Caen, Toulon, and Sud Francilien, among a total of 18 institutions. With Samsung’s involvement, the integration is positioned to extend to more hospitals, offering a model that could be scaled more broadly in the future.

One of the distinctive features of this initiative is its reliance on Web3 principles applied to healthcare. Blockchain technology provides transparency and traceability, ensuring that the development of AI models can be audited over time. Decentralized training allows data to remain local, mitigating risks associated with centralized databases. Tokenized governance gives patients and professionals a voice in shaping medical research, creating a model that seeks to balance innovation with accountability.

There are, however, challenges to overcome. The anonymization of data must be sufficiently robust to prevent any possibility of re-identification, an issue that has surfaced in other medical datasets. Compliance with strict privacy laws, particularly the General Data Protection Regulation in Europe, will be critical in determining whether the system can operate at scale. Hospitals and regulators will also need to see peer-reviewed evidence that Galeon’s decentralized AI approach performs as well as or better than existing centralized methods. Governance via token voting introduces opportunities for wider participation but also the risk of influence by large token holders, meaning safeguards must be put in place to maintain medical integrity.

Despite these challenges, the collaboration carries important implications. It shows that Web3 technologies are extending beyond financial services into regulated, high-stakes industries like healthcare. In women’s health, where ultrasound is widely used, the integration of imaging devices with Galeon’s EHR has the potential to streamline patient tracking and improve continuity of care. For the healthcare system at large, Galeon’s model aims to provide greater transparency in AI development and to democratize research funding through community governance. For the Web3 sector, the alliance with Samsung France offers a proof of concept that decentralized infrastructure can operate alongside major corporate players in delivering critical public services.

The partnership now aims to make ultrasound integration more widely available across hospitals, addressing current inefficiencies in how imaging results are stored and shared. Whether this approach translates into measurable improvements in diagnostic workflows will depend on future validation. Galeon’s Atlantis governance model, which allows token holders to vote on non-profit scientific projects, will also move from concept to practice as the community begins making funding decisions. If these initiatives prove effective, the Samsung–Galeon collaboration could serve as an early template for applying decentralization, artificial intelligence, and community governance to healthcare in a way that aspires to balance innovation with ethics.