Healthleap Raises $38 Million for AI That Flags Hospital Patients at Risk of Undiagnosed Conditions

Healthleap, a healthtech startup building an AI platform that reads patient records to identify individuals at risk of undiagnosed illnesses, has raised $38 million in a combined seed and Series A funding round. The company is currently deployed in more than 50 hospitals across the United States, including Penn Medicine, Cedars-Sinai, and Houston Methodist.

The financing includes an $8 million seed round co-led by Sequoia Capital and First Round Capital, and a $30 million Series A led by Hummingbird Ventures. The company has not disclosed its valuation.

Founded in South Africa in 2022 by siblings Jemima and Josiah Meyer, the startup initially offered a clinical nutrition tool for dietitians before pivoting to build a more general-purpose platform. The current system aims to identify hospital inpatients who may be suffering from conditions like malnutrition or delirium that are often missed early in their stay.

How the AI platform works

Healthleap plugs into a hospital’s electronic health record (EHR) system and uses language models to extract information from clinicians’ written notes. The platform looks for mentions of poor appetite, recent weight loss, muscle loss, or trouble swallowing, alongside structured data such as lab results, vital signs, medications, and diet orders.

“Each night, we analyze every adult inpatient’s record: lab results, vital signs, weights, medications, diet orders, diagnoses, clinicians’ notes, and more,” co-founder and CEO Josiah Meyer told TechCrunch. “Each morning, we write a risk score into the care team’s existing workflow with a dashboard that holds additional information about the patients’ trends.”

The company emphasises that its software does not diagnose patients; it only highlights cases that may need closer review by the care team.

Clinical conditions and hospital impact

Research suggests that 20% to 50% of hospital inpatients are malnourished, a condition linked to longer stays, impaired wound healing, infections, and higher mortality. Healthleap’s platform currently screens for malnutrition and delirium, and has built additional programs for identifying aspiration pneumonia, pressure ulcers, and risk of readmission for congestive heart failure. These newer programs are undergoing further clinical validation.

At the Hospital of the University of Pennsylvania, Healthleap says its malnutrition program resulted in $23.8 million in annualised financial impact, of which $6.3 million came from additional reimbursement and $17.5 million from shorter hospital stays.

Growth, revenue, and pricing model

Healthleap has grown from three hospital partners to more than 50 over the past year. Customers now include Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist, and Emory Healthcare. Revenue has grown more than 10x over the same period, though the company did not disclose specific figures.

The startup sells three-year contracts priced according to a hospital’s licensed bed count and also uses an outcome-based pricing model. “We use the hard ROI that the hospital finance team validates and attributes to us as the measurable ROI. Based on that, we contractually ensure that we deliver multiples of the contract price. To date, every customer has seen a 5x hard ROI or more, in some cases over 20x annual total ROI,” Josiah said.

Funding allocation and future plans

Healthleap plans to use the fresh capital on engineering, product, sales, and customer success as it adds support for identifying more conditions. The company ultimately aims to cover more than 40 major health conditions and expand into outpatient and home care settings.

Datos clave

Metric	Detail
Total funding raised	$38 million ($8M seed + $30M Series A)
Key investors	Sequoia Capital, First Round Capital, Hummingbird Ventures
Hospitals deployed	50+ including Penn Medicine, Cedars-Sinai, Houston Methodist
Conditions screened	Malnutrition, delirium, aspiration pneumonia, pressure ulcers, CHF readmission risk

Why this matters for healthcare AI in India

While Healthleap currently operates in the US, its approach to using AI for early detection of undiagnosed conditions has direct relevance for Indian hospitals. Malnutrition remains a significant concern in Indian healthcare settings, and AI-driven screening tools that work with existing EHR systems could help reduce complications and length of stay. The startup’s use of language models to extract clinical concepts from unstructured notes is a method that could be adapted for Indian hospital workflows, provided the necessary digitisation of health records is in place.

Source: TechCrunch — Healthleap raises $38M for its AI that flags hospital patients who may need a closer look (https://techcrunch.com/2026/10/07/healthleap-raises-38m-for-its-ai-that-flags-hospital-patients-who-may-need-a-closer-look/)