Industry Healthcare

AI for healthcare — where patient data protection and clinical accuracy both matter.

A clinician needs an answer that's grounded in the actual record, and a compliance officer needs to know exactly where patient data went and who touched it. I build AI for that reality: HIPAA-compliant, grounded, and fully auditable, for health systems, payers, providers, and pharma. PHI stays protected, with an on-prem option where your data can't leave the perimeter, no PII in logs, and every answer source-cited.

HIPAA Privacy controls by design
PHI protected On-prem option, no PII in logs
1 KPI Attached before we build

Healthcare organizations live inside a contradiction most AI vendors gloss over: the system has to be genuinely useful at the point of care or in the back office, and it has to treat patient data as if a regulator, a patient, and a plaintiff's attorney are all watching at once — because eventually, one of them is.

I build AI that holds both ends at once. Grounded retrieval so answers come from your records and source documents, not a model's guess. PHI handling designed around minimum necessary use, with an on-prem inference option for the data that can't leave your environment, and audit trails that show exactly what a system saw and why it answered the way it did. Useful where the work demands it, disciplined where privacy does.

Where AI moves the number

The highest-impact work in a healthcare organization is high-volume, document-heavy, and expensive in staff hours — exactly where a well-built, well-governed agent earns its keep.

  • Clinical & operational copilots — retrieval-grounded assistance for care teams and operations staff, drafting and summarizing against source documents, never inventing findings.
  • Payer / claims automation — prior auth, claims triage, and eligibility workflows that route the routine cases and flag exceptions for a human.
  • Document intelligence — search and synthesis over records, policies, and clinical guidelines, with every answer traceable to its source.
In healthcare, an unsourced AI answer is worse than no answer at all. I build systems that show exactly where every claim came from — and that stay quiet when the source isn't there.

Four places AI pays for itself in healthcare.

Each one high-volume, document-heavy, and tracked to a number.
01 / Clinical
Clinical & ops copilots
Retrieval-grounded assistance for care teams and operations staff — drafting, summarizing, and surfacing from the record, with sources attached to every claim.
02 / Payer
Payer / claims automation
Prior auth, claims triage, and eligibility workflows that clear the routine volume and route exceptions to the people who need to see them.
03 / Documents
Document intelligence
Search and synthesis over records, policies, and clinical guidelines that turns scattered, siloed documentation into answers you can trust and trace.
04 / Control
HIPAA & on-prem control
Minimum-necessary data handling, no PII in logs, append-only audit trails, and on-prem inference for the data that can't leave your perimeter.
HIPAAPHI protectedOn-prem inferenceAudit trailsGrounded retrievalNo PII in logs

From briefing to production, with compliance built in.

Fixed scope, fixed price, privacy controls from day one.
01Brief

Find the highest-impact use case

Clinical documentation, prior auth, claims triage, or policy search — we pick the one that moves a real number and agree on the KPI up front.

02Architect

Design for accuracy and privacy together

Grounded retrieval, PHI handling, and the audit layer are designed as one system — fixed scope and price, no surprises.

03Build

Deploy into your environment

We build in sprints, deploy inside your controls — on-prem where PHI demands it — and harden until it holds under real clinical and operational volume.

04Measure

Prove the value and the trail

We track the system against its KPI and confirm every action is logged and provable — then tune until the value crosses the cost.

Let's talk about where AI moves a number in your organization.

Clinical copilots, prior auth, claims triage, document search — if it's high-volume and patient data touches it, that's my kind of problem. I'll tell you what it's worth before we build it.

Let's talk

Markets served.

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)

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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)

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Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

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Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

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Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

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Toledo, Ohio (OH)

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Chula Vista, California (CA)

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Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

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Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

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Fremont, California (CA)

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Baton Rouge, Louisiana (LA)

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Spokane, Washington (WA)

Des Moines, Iowa (IA)

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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)

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Little Rock, Arkansas (AR)

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Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

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Overland Park, Kansas (KS)

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Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

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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)

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Lancaster, California (CA)

Rockford, Illinois (IL)

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Dublin, Ireland (IRE)