THE TEAM
We have built inside healthcare
We have spent our careers inside healthcare's hardest rooms: hospital ML teams, patient-data audits, enterprise sales floors, and the clinic front desk.
Most of us built medical AI together before Sandy and know what it takes to earn a health system's trust. We are engineers, a physician, a security lead, a product lead, and operators who have taken companies from zero to acquisition. We do not build demos. We build software that survives an audit, a payer, and a Monday morning.
WHAT WE LEARNED
Three things healthcare taught us
We have shipped medical AI into hospitals, protected patient data at Amazon scale, and passed the audits that let a health system sign. Here is what that taught us.
Healthcare is administratively complex
Providers do not know whether, when, or how much they will get paid.
The encounter is where clinical and financial meet
Connected workflows improve coding and billing results.
Context compounds
More context means better decisions, fewer errors, and higher revenue.
The people applying it
ADVISORS
Guided by people who have done it
Clinicians and operators who guide Sandy's product, care model, and go-to-market.