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News
An AI platform is helping hospitals find patients who slip through the cracks. Healthleap, which uses real-time AI to screen for undiagnosed conditions, has raised $38M in seed and Series A funding. Starting with disease-related malnutrition — a $58B annual burden on the U.S. healthcare system — the company plans to expand its platform to over 40 conditions.
An AI platform is helping hospitals find patients who slip through the cracks
Healthleap, a clinical AI startup, has raised $38 million in combined seed and Series A funding backed by Sequoia Capital, First Round Capital, and Hummingbird Ventures. Founded in 2022, the platform continuously analyzes patient records — including notes, labs, vitals, and orders — to flag undiagnosed conditions and push actionable risk scores directly into EHR workflows.
The company's initial focus is disease-related malnutrition, a condition that affects up to half of hospitalized patients yet is formally diagnosed in fewer than 9%. Traditional screening relies on just two questions asked by a nurse at admission — a method that routinely misses the sickest patients. Healthleap claims to be the only validated AI malnutrition screening tool with EHR-integrated layers. With fresh capital in hand, the company plans to expand to 40+ conditions, including delirium, aspiration pneumonia, and pressure injuries.
By the Numbers
Why it matters: Missed diagnoses don't just harm patients — they cost hospitals billions. Healthleap's approach shows how AI embedded directly into clinical workflows can surface hidden risks, improve outcomes, and unlock meaningful reimbursement, a model that could reshape how hospitals approach population-level screening.
