On-premise AI for Healthcare.
Protected health information is bound by HIPAA, and the safest posture is to keep it in-house. We deploy the full AI stack on-prem or in a HIPAA-aligned tenant, with zero data egress — the model is brought to the data, so PHI never leaves the organization.
Bring the model to the PHI, not the other way around
A health system holds some of the most tightly regulated data in any industry. Protected health information under HIPAA carries an obligation to minimize disclosure, and every outbound transfer to a third-party processor expands the surface that has to be governed, contracted, and trusted. For a large share of clinical and administrative AI, the cleanest answer is not to send the data anywhere at all.
So we invert the flow. Rather than shipping patient records out to a hosted model, we deploy the model, retrieval layer, and application inside your own environment — on-prem hardware or a HIPAA-aligned cloud tenant — so the data is processed where it already resides. The capability is the same as any modern AI system; the perimeter is yours, and PHI never crosses it.
Private AI inside the health system.
A complete stack that runs where PHI already lives — your hardware or HIPAA-aligned tenant, your keys.
- On-prem GPU servers
- HIPAA-aligned tenant
- No external model APIs
- No outbound data flow
- Minimum-necessary scoping
- Local model & index
- Customer-managed keys
- Role-scoped access
- Append-only audit trail
Where on-premise AI unlocks value in Healthcare
Value concentrates wherever a workload touches PHI and has been held back precisely because the data cannot be sent out:
- Clinical documentation & summarization — care teams summarize charts and encounters with patient records processed entirely inside the boundary, never a hosted API.
- Chart & record retrieval — clinicians query histories and prior notes on local compute, with retrieval scoped to role and access fully logged.
- Coding & revenue cycle support — coders and billing staff reason over PHI-laden records to confirm assignments without exposing data to a third-party processor.
- Operations & prior-authorization — administrative teams draft and review documents containing patient information in-house, keeping disclosure minimized and auditable.
Common questions.
Can on-premise AI process PHI without violating HIPAA?
Yes. We deploy the model, retrieval layer, and application inside your own environment — on-prem or a HIPAA-aligned cloud tenant — so protected health information is processed where it already lives. There are no calls to a hosted model API and nothing leaves the boundary, which keeps disclosure minimized and the data under your control. The model is brought to the data rather than the data being shipped to the model.
Does it still work if we are fully air-gapped from the internet?
Yes. The entire stack runs on local compute with no route to the public internet. Open-weight models are loaded from an internal registry, updates arrive through a controlled one-way path, and no prompts, records, or telemetry ever cross the boundary. Clinical and administrative AI runs the same way it would on a hosted service — only the data never leaves.
Explore related paths.
Keep PHI inside the walls.
Bring the workload you have held back because the data is PHI. In thirty minutes we will show how a fully private, zero-egress deployment runs it on-prem or in a HIPAA-aligned tenant, with the data never leaving. Response inside 24 hours.
Experienced within
Markets served.
As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets: