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HIPAA

HIPAA-compliant AI, on hardware you own.

Use AI on protected health information without a single record leaving your network. On-premise is the only guaranteed way to keep PHI off third-party servers.

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The problem

Cloud AI and PHI do not mix.

When you send a prompt to a cloud AI API, that data is processed on infrastructure you do not control, under terms that can change and through subprocessors you cannot see. For PHI that exposure is a risk you cannot fully contract away, and a breach reaches you regardless of the paperwork. Keeping the model on hardware you own removes the question entirely.

Built in

The HIPAA posture, part of the build.

Where it runs
On-premise or air-gapped, inside your existing security perimeter. PHI never leaves the building.
Access control
Least-privilege access and authentication, scoped to who needs the system.
Audit logging
Logging of access and activity to support your Security Rule obligations.
Encryption
Encryption at rest and in transit across the deployment.
Documentation
The AI server documented inside your environment and your compliance program, not beside it.
Use cases

What teams run privately.

Clinical

Documentation and summaries

Draft and summarize clinical notes and charts on a private model, with no PHI leaving your network.

Operations

Intake and prior-auth

Speed up intake, prior authorization, and back-office workflows with agents that can safely touch real records.

Knowledge

Internal search

Search policies, protocols, and records privately, grounded in your own documents.

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