Is there an AI that is HIPAA compliant?
No model is HIPAA compliant on its own — compliance is a property of the deployment, not the weights. An AI system becomes HIPAA-appropriate when PHI is only ever processed under a BAA or inside your own network, with encryption, access control, audit logging and a current risk analysis behind it.
What “compliant” has to mean
The Security Rule asks for administrative, physical and technical safeguards. Applied to AI that means: known data flows, encryption at rest and in transit, role-based access, an audit trail of who asked what, and a documented risk analysis covering the system. A vendor badge on a marketing page is not any of those.
Two deployments that qualify
First: a BAA-eligible enterprise service, configured with retention off and access scoped. Second: an on-premise model, where no disclosure occurs at all. Both can be defensible; only the second keeps PHI physically inside your practice.
The on-premise answer
An open-weight model on a GPU appliance in your server room, indexed over your own records, behind SSO and MFA, logging to your systems. We build, install and maintain it, and hand over the documentation your risk analysis needs.
You hold PHI, and there is no BAA standing behind a consumer chatbot.
We build, install and maintain the private system that makes this a non-question — inside your building, owned by you, with the control documentation for your file.