Private AI for healthcare
Clinical documentation, coding support and knowledge assistants that keep protected health information inside your environment — designed to support HIPAA-aligned deployments.
Common deployments
Clinical documentation
Drafting and summarising notes from encounter records, inside your EHR environment.
Coding & billing support
Suggesting codes from clinical text with human review, without PHI leaving your network.
Policy & knowledge Q&A
Staff assistants answering from your own protocols, formularies and guidelines.
Research support
Literature triage and cohort description over internal datasets.
Patient communication drafting
Letters and instructions drafted locally for clinician review.
De-identification pipelines
Local models supporting redaction workflows before any secondary use.
Compliance posture
- Inference and storage remain within your covered-entity infrastructure
- Role-based access integrated with your identity provider
- Complete audit logging to your own systems
- No third-party data-processing relationship created for AI inference
- Business associate complexity avoided where inference stays internal
Why on-premise here
Public AI endpoints create a data-processing relationship your compliance team must defend. Keeping inference inside your infrastructure removes that transfer entirely: prompts, documents and outputs never leave systems you control, and audit logs live in your own SIEM.
Frequently asked questions
Is on-premise AI automatically HIPAA compliant?
No technology is compliant by itself — compliance is a property of your whole programme. On-premise deployment removes the external data transfer, which substantially simplifies the risk analysis your privacy officer must make.
Can the models integrate with our EHR?
Yes, through your existing integration interfaces and within your network. Integration scope is defined during assessment with your clinical informatics team.
What about model hallucinations in clinical settings?
We design for human-in-the-loop review, constrain models with retrieval over your approved sources, and evaluate on your material before go-live. Clinical judgement always remains with clinicians.