Point-of-sale financing platform for elective medical procedures
PatientFi finances elective healthcare through a network of medical practices—plastic surgery, dermatology, fertility, dentistry, and others. The tech stack is heavily GCP-based (BigQuery, Dataflow, Pub/Sub, Bigtable) with analytics and experimentation tooling (Looker, Heap, Mixpanel, LaunchDarkly), revealing an organization investing in real-time data infrastructure and rigorous A/B testing. Active hiring in sales and data roles, paired with concurrent development of credit risk and fraud detection models, signals scaling both customer acquisition and underwriting sophistication.
PatientFi operates a point-of-sale lending platform that enables patients to finance elective medical treatments across a nationwide network of provider partners. Founded in 2017, the company serves aesthetic, dental, fertility, and vision-related specialties. The business model links patient financing with practice enrollment and staff training, managed through a combination of sales partnerships and internal operations. Current focus areas include expanding fertility practice coverage, building quantitative risk models (CECL, prepayment, PD/LGD forecasting), and running controlled experimentation to lift conversion rates and approval thresholds.
PatientFi's core stack is Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Bigtable, GCS), complemented by Python and SQL. Analytics and experimentation run on Looker, Heap, Mixpanel, Amplitude, Google Analytics 4, and LaunchDarkly.
Key projects include onboarding fertility practices, building credit risk and fraud detection models, implementing quantitative risk models (CECL, prepayment forecasting), and running a rigorous experimentation program to improve conversion and approval rates.
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