on-prem × healthcare

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.

On-prem / HIPAA-aligned Zero data egress PHI stays in-house

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.

01 / deploymentCORE
On-prem & HIPAA-aligned deployment
We stand up the model, vector store, and application on your on-prem GPU servers or inside a HIPAA-aligned cloud tenant, matched to the security posture your organization already runs.
  • On-prem GPU servers
  • HIPAA-aligned tenant
  • No external model APIs
02 / isolationSECURE
Zero-egress for PHI
No prompts, records, embeddings, or telemetry leave the boundary. Protected health information is processed locally, with egress controls and minimum-necessary scoping designed in rather than added later.
  • No outbound data flow
  • Minimum-necessary scoping
  • Local model & index
03 / governanceSECURE
Audit, access & control
Data stays under customer-managed keys in your environment, with role-scoped access and an append-only log of every prompt, retrieval, and response that your privacy and compliance teams can review.
  • 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.

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)