AENOSIS n.
/iːˈnoʊ.sɪs/ (ee-NO-sis)
From Neoplatonic enōsis “oneness -
The creation of integral systemic coherence from fragmented multiplicity.
Personal health data could unlock medical breakthroughs, but current regulations are based on the false choice between privacy and access — and the fear of non-compliance blocks 95% of available data. The transformative potential of modern AI/ML is wasted, and patients are denied the advances in disease research, personalised medicine, and real-world evidence that would improve the lives of millions while decreasing burden and cost.
By placing privacy, security and data sovereignty at the heart of data access, Aenosis delivers a fundamentally new, European-owned data infrastructure. Based on proactive cryptographic proof instead of reactive paper promises, our federated machine learning system is architected to be inherently compliant with the GDPR, EHDS and AI Act — enabling essential access for researchers and true agency for patients.
Health care institutions control and leverage data in full regulatory compliance. Researchers gain access to richer datasets — linked, multimodal, longitudinal and multisite — faster and more securely than ever before. Patients retain control — with granular consent down to individual data elements. Revocations propagate system-wide within minutes, blocking all further computations. Regulators rely on immutable audit trails of every data action. All enforced by code, not policy.