on-prem × insurance

On-premise AI for Insurance.

Policyholder PII and claims data are sensitive, regulated, and best kept in-house. We deploy the full AI stack for on-prem inference with zero data egress and full control, so the records that drive underwriting and claims never leave your boundary.

On-prem inference Zero data egress Full control

Keep policyholder data where you can govern it

An insurer's books run on personal data. Policyholder PII, medical and financial detail in claims files, beneficiary records, and underwriting inputs are regulated, contractually fenced, and attractive to attackers — and every time that data is handed to a third-party processor, the insurer takes on a dependency it cannot fully see. For a large share of underwriting and claims AI, the simplest way to stay in control is to not send the data out at all.

So we invert the flow. Instead of shipping claims and policy records to a hosted model, we deploy the model, retrieval, and application inside your own boundary and run on-prem inference where the data already sits. The capability is the same as any modern insurance AI tool; the perimeter, the keys, and the governance are yours. Sensitive records stay in-house from intake to decision.

Private AI across the book.

A complete stack that runs on-prem under your control — your hardware, your keys, your residency.

01 / deploymentCORE
On-prem inference
We stand up the model, vector store, and application on your on-prem GPU servers or private tenancy, matched to the security posture the carrier already operates under.
  • On-prem GPU servers
  • Your private tenancy
  • No external model APIs
02 / isolationSECURE
Zero-egress for claims & PII
No claims documents, prompts, embeddings, or telemetry leave the boundary. Policyholder PII is processed locally, with egress controls and data-minimization scoping designed in.
  • No outbound data flow
  • Data-minimization scoping
  • Local model & index
03 / governanceSECURE
Control, residency & audit
Data stays under customer-managed keys in your jurisdiction, with role-scoped access and an append-only log of every prompt, retrieval, and response for compliance and oversight.
  • Customer-managed keys
  • In-jurisdiction residency
  • Append-only audit trail

Where on-premise AI unlocks value in Insurance

Value concentrates wherever a workload depends on policyholder data that is safest kept in-house:

  • Claims triage & summarization — adjusters summarize and route claims files containing PII and medical detail with on-prem inference, never a hosted API.
  • Underwriting support — underwriters reason over applications and risk data inside the boundary, keeping sensitive inputs under the carrier's control.
  • Policy & document retrieval — service teams query policies, endorsements, and correspondence on local compute, with access scoped and logged.
  • Fraud & SIU analysis — investigators analyze claims patterns and case files in-house, with full audit and no third-party processor in the path.

Common questions.

Can on-premise AI process claims and policyholder PII without sending it out?

Yes. We deploy the model, retrieval, and application inside your own boundary, so claims files and policyholder PII are processed with on-prem inference where the data already sits. There are no calls to a hosted model API and nothing — no documents, no prompts, no telemetry — leaves the perimeter. The model is brought to the data rather than the data being shipped out.

Do we keep full control over the data and the model?

Yes. The deployment runs on infrastructure you control, with customer-managed keys, in-jurisdiction residency, and an append-only log of every prompt, retrieval, and response. You decide who can access the system, where it runs, and what it retains — sensitive policy and claims data stay in-house under your governance, not a third-party processor's.

Explore related paths.

Keep claims and PII in-house.

Bring the underwriting or claims workload you want to accelerate without handing data to a processor. In thirty minutes we will show how on-prem inference runs it inside your boundary, with zero egress. 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)