Healthleap Raises $38M to Expand Hospital AI Screening Beyond Malnutrition

Healthleap raised $38 million in financing disclosed Wednesday. CEO Josiah Meyer said hospitals already use its system to screen for malnutrition and delirium, and the company plans to add conditions. The published study evaluated malnutrition screening alone and did not validate those broader uses.

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

Daily chart screening

Healthleap connects to hospitals’ electronic health record systems. Language models extract information from written notes, including references to poor appetite, weight loss and difficulty swallowing. Risk models combine those findings with structured information such as laboratory results.

Meyer said the platform reviews adult inpatient records nightly and places risk scores in care teams’ existing workflows each morning. Healthleap says the software highlights patients for further assessment and does not diagnose them. Clinicians still have to review flagged patients and determine whether they have a condition requiring care.

Meyer said Healthleap grew from three hospital partners to more than 50 over the past year. He said revenue increased more than tenfold during that period, without disclosing a revenue base. Customers include Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist and Emory Healthcare, he said.

The company sells three-year contracts priced by licensed bed count and also offers pricing tied to financial results. Meyer said every customer had achieved hard financial returns of at least five times the contract price to date.

Malnutrition evidence

A peer-reviewed study published in Applied Clinical Informatics in 2025 evaluated 166,841 admissions involving 106,449 patients at Cedars-Sinai Medical Center from January 2019 through September 2022. The retrospective analysis covered nearly four years at one hospital.

On the first day of hospitalization, the model achieved an AUROC of 0.92 against malnutrition recorded in discharge codes. That measure describes how well a model separates cases from non-cases across possible screening thresholds. It is not the percentage of patients correctly diagnosed.

First-day sensitivity against discharge-coded malnutrition was 0.49 for the model versus 0.24 for the modified, nurse-administered Malnutrition Screening Tool used at the hospital. Against dietitian-recorded malnutrition, first-day sensitivity was 0.52 versus 0.35. The model threshold was adjusted to flag the same number of patients as the modified nurse tool. That comparator differed from the validated version. Discharge codes can also miss or misclassify cases, and dietitian documentation can vary. Four of the nine study authors were Healthleap employees and three were advisers.

The study did not test whether deploying the software improved patient outcomes. It did not validate screening for delirium, aspiration pneumonia, pressure ulcers or heart failure readmission.

Hospital workflows

A 2021 systematic review from the Agency for Healthcare Research and Quality found no eligible studies testing whether malnutrition screening improved clinical outcomes, largely because studies lacked appropriate control groups.

A separate Mount Sinai implementation study published in 2023 examined MUST-Plus, a different machine learning malnutrition screener. Dietitians found it useful for identifying patients and prioritizing work, but perceived accuracy and usefulness varied across hospitals. Some reported that false positives added work. Staff also sought more training and autonomy in deciding whom to assess.

Expansion plans

In a company-distributed case study updated in August 2026, Healthleap claimed $23.8 million in annualized financial impact from malnutrition screening at Penn Medicine’s Hospital of the University of Pennsylvania. The total comprises $6.3 million in extra reimbursement and $17.5 million attributed to shorter stays. Healthleap says Penn Medicine’s own Strategic Decision Support team internally validated the financial figures. The benefits were reported in an implementation case study rather than an independent controlled trial.

Meyer said programs for aspiration pneumonia, pressure ulcers and heart failure readmission risk were undergoing further clinical validation. He said the company wants to cover more than 40 major conditions and expand into outpatient and home care.

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Marcus Schuler

San Francisco

Editor-in-Chief and founder of Implicator.ai. Former ARD correspondent and senior broadcast journalist with 10+ years covering tech. Writes daily briefings on policy and market developments. Based in San Francisco. E-mail: editor@implicator.ai