Healthleap raises $38M for AI patient risk flagging
Original: Healthleap raises $38M for its AI that flags hospital patients who may need a closer look
Why This Matters
AI-driven early detection in hospitals could reduce costly misses in high-volume inpatient care.
Healthleap, a South Africa-founded startup using AI to scan hospital records for undiagnosed conditions, raised $38M across a seed and Series A round, with backers including Sequoia Capital, First Round Capital, and Hummingbird Ventures.
Founded in 2022 by siblings Jemima and Josiah Meyer, Healthleap started as a clinical nutrition tool for dietitians before pivoting to a broader platform that scans inpatient records for overlooked conditions. The $38M total includes an $8M seed co-led by Sequoia Capital and First Round Capital, and a $30M Series A led by Hummingbird Ventures. No valuation was disclosed.
The platform integrates with hospital electronic health record systems and uses language models to extract signals from clinicians' written notes—references to weight loss, poor appetite, or trouble swallowing—then combines those with structured data like labs and vitals to generate nightly risk scores. Each morning, care teams see updated dashboards flagging patients who may warrant a second look.
Healthleap is currently deployed across more than 50 hospitals, screening for malnutrition and delirium. Programs targeting aspiration pneumonia, pressure ulcers, and congestive heart failure readmission risk are in clinical validation. The company is careful to frame its output as a review prompt, not a diagnosis. Malnutrition affects an estimated 20–50% of hospital inpatients and frequently goes undetected, making it a natural beachhead for the platform.