Agentic AI
Healthleap banks $38M to scale AI that spots overlooked hospital conditions
South African startup's platform mines patient records to flag risks like malnutrition and delirium before they worsen.
TechCrunch — AI
Healthleap, a clinical AI platform that scans hospital patient records to surface early warning signs of underdiagnosed conditions, has closed $38 million across seed and Series A rounds. Sequoia Capital and First Round Capital co-led the $8 million seed, while Hummingbird Ventures led the $30 million Series A.
From nutrition to broad clinical screening#
Siblings Jemima and Josiah Meyer founded Healthleap in South Africa in 2022, initially focusing on a nutrition screening tool for dietitians. The startup has since evolved into a broader clinical intelligence platform designed to catch conditions—such as malnutrition and delirium—that are frequently missed in the early stages of hospitalization.
The shift reflects a market need: malnutrition alone affects an estimated 20–50% of hospitalized patients, yet often goes unrecognized, leading to longer stays, slower wound healing, higher infection rates, and worse outcomes.
How the system works#
Healthleap's approach taps into hospital electronic health records, using language models to extract clinical signals buried in clinician notes—mentions of appetite loss, recent weight decline, difficulty swallowing—and combines them with structured data like lab results, vital signs, and medications. Each morning, the system delivers risk scores to care teams, flagging patients warranting closer attention without providing diagnoses.
"Each night, we analyze every adult inpatient's record," co-founder Josiah Meyer explained. "Each morning, we write a risk score into the care team's existing workflow."
Rapid adoption and financial impact#
Healthleap now operates across more than 50 hospitals, including Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist, and Emory Healthcare. The company has grown from three hospital partners to over 50 in the past year, with revenue climbing more than tenfold.
The platform currently screens for malnutrition and delirium; additional programs targeting aspiration pneumonia, pressure ulcers, and readmission risk for congestive heart failure are in clinical validation. The startup contracts with hospitals using a bed-count model and an outcome-based pricing structure. According to Meyer, every customer has realized a return on investment of at least 5x—in some cases exceeding 20x annually. At the University of Pennsylvania's Hospital, the malnutrition program delivered $23.8 million in annualized financial benefit.

