Healthleap, an AI startup that mines electronic health records to surface undiagnosed patient conditions, has raised $38 million across seed and Series A rounds.
Sequoia Capital and First Round Capital co-led an $8 million seed round. Hummingbird Ventures led the $30 million Series A. The company did not disclose valuation.
Founded in South Africa in 2022 by siblings Jemima and Josiah Meyer, Healthleap began as a clinical nutrition tool for dietitians before pivoting to broader patient risk identification. The business model relies on integrating into hospital workflows—CEO Josiah Meyer said the platform addresses a basic clinical problem: conditions like malnutrition and delirium often go undiagnosed because traditional hospital processes miss them.
The platform works by extracting data from two sources. It uses language models to parse clinician notes for textual signals (poor appetite, recent weight loss, muscle loss, swallowing difficulty), then combines that with structured EHR data—lab results, vital signs, medication orders, diagnoses. A proprietary risk model flags patients warranting closer review. The software does not diagnose; it surfaces risk.
Operationally, Healthleap screens every adult inpatient nightly and delivers risk scores to care teams each morning via dashboard integration. The platform currently operates in more than 50 hospitals. Beyond malnutrition and delirium, it has developed modules for aspiration pneumonia, pressure ulcers and congestive heart failure readmission risk, all undergoing clinical validation.
The malnutrition opportunity is concrete: research shows 20 to 50 percent of inpatients are malnourished, yet the condition frequently goes undetected and measurably worsens recovery outcomes.
