AI that never shares patient data.
Xinity runs open, OpenAI-compatible language models directly inside your hospital infrastructure. Health data leaves neither your institution nor your jurisdiction. Full control, full confidentiality, full auditability.
Health data does not belong in someone else's cloud.
An external model API sees every record you send it. For special categories of personal data that is not just a risk, it directly touches your legal obligations. Sovereign AI keeps processing where the data already lives: inside your institution.
How on-premise supports concrete obligations.
Health data is given a heightened level of protection under Article 9 GDPR, requiring tight purpose limitation and strict access control. When processing never leaves your institution, there is no transfer to a processor, and none of the associated safeguards, contracts, and third-country questions apply.
Medical confidentiality extends to every party that processes patient information. An on-premise model means no patient data reaches an external provider outside your circle of care and confidentiality.
Through the OpenAI-compatible interface, Xinity integrates with your existing hospital and documentation systems without data leaving the building. The models run alongside your systems, not in a third-party cloud behind them.
Data and model stay inside your infrastructure.
Xinity runs on your hardware, on your network, behind your firewall. There is no outbound data path to a model provider that you would have to secure or cover by contract. Apache 2.0 open source also means full auditability: your security team can read every line.