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Healthleap raises $38M for AI that finds undiagnosed conditions in hospital patients. Malnutrition is one of the most common conditions hiding in plain sight inside U.S. hospitals. Up to half of hospitalized patients may be at risk, according to Healthleap, but fewer than 9% receive a diagnosis. That gap can mean longer hospital stays, worse patient outcomes, and millions of dollars in added costs. Healthleap thinks software can catch what busy clinical teams miss. The healthcare AI startup has raised $38 million in combined seed and Series A funding to expand a platform that reads patient records daily and flags people who may be at risk for undetected conditions. 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. Healthleap's story started with malnutrition. Co-founder Jemima Meyer was working as a clinical dietitian when she built an early tool to help dietitians find patients who needed attention sooner. She later teamed up with her brother, Josiah Meyer, and the pair founded Healthleap in South Africa in 2022. What began as a nutrition tool has since become a broader clinical AI platform. Healthleap now sits on top of hospital electronic health record systems, analyzing notes, lab results, vital signs, medications, diagnoses and other patient data for signs that someone may need a closer look. The software does not diagnose patients. It assigns risk scores and routes them into existing hospital workflows so clinicians can decide what happens next. From malnutrition screening to a broader hospital AI layer. Healthleap's pitch is gaining attention partly because the company can point to measurable results. At the Hospital of the University of Pennsylvania, Healthleap says its malnutrition program generated $23.8 million in annualized financial impact. That figure included $6.3 million in additional reimbursement and an estimated $17.5 million tied to shorter hospital stays, representing 8,632 annualized bed-days saved. Penn Medicine's Strategic Decision Support team reviewed the analysis, Healthleap said. At Cedars-Sinai, the company reports a 39% increase in malnutrition diagnoses with the same staffing levels and $11 million in annual financial impact. Announcing the funding in a LinkedIn post, Josiah said: "Somewhere right now, a patient is getting sicker from something that was treatable all along. HealthLeap AI finds these patients. We use existing signals in the patient record to screen every inpatient every day and flag those at high risk, so care teams can act and care for those patients. We started with malnutrition. My sister and co-founder, Jemima, worked as a clinical dietitian and watched patients get found too late." Healthleap also has clinical research behind its core malnutrition model. A peer-reviewed study published in *Applied Clinical Informatics* evaluated more than 166,000 hospital admissions over 3.75 years. The company says the system showed 88% higher sensitivity than a modified Malnutrition Screening Tool and identified patients an average of four days before the first dietitian documentation. The startup has grown from three hospital partners to more than 50 over the past year, with customers including Penn Medicine, Cedars-Sinai, Houston Methodist, Emory Healthcare and Intermountain. CEO Josiah Meyer told TechCrunch that revenue increased more than tenfold during the same period. "Every week, millions of patients leave hospitals with unresolved health conditions that will erode their health and cost up to 10x more to treat later," Meyer said. "Finding them now is prevention, and it's a win for everyone. Patients get treated before they get sicker. Hospitals shorten stays and are paid for the care they deliver. Payers avoid the much higher cost of complications down the road. Our goal is to improve care and save lives by catching these conditions early." Malnutrition is becoming the starting point, not the entire product. Healthleap is developing screening programs for delirium, aspiration pneumonia, pressure injuries, and congestive heart failure readmission risk. Meyer says the longer-term goal is to cover more than 40 major conditions and eventually extend the system beyond hospitals into outpatient and home care. The new funding will go into engineering, product development, sales, and customer success. Healthleap bets that one of AI's most valuable roles in hospitals may be surprisingly straightforward: continuously reading records humans rarely have time to reread, then pointing clinicians to the patients most likely to have been overlooked.

Healthleap, a South African startup founded in 2022 by siblings Jemima and Josiah Meyer, has raised $38 million to develop AI software that identifies at-risk hospital patients. 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 platform integrates with hospital electronic health record systems, using language models to analyse clinical notes alongside structured data like lab results and vital signs. It screens patients for conditions such as malnutrition and delirium that often go undiagnosed. Healthleap is now deployed in over 50 hospitals, including Penn Medicine, Cedars-Sinai, and Emory Healthcare. Revenue has grown more than 10x over the past year. The company plans to use the funding to expand its engineering, product, sales, and customer success teams.

Healthleap raises $38M to launch AI platform detecting undiagnosed illnesses in patient records. Healthleap has secured funding through two rounds: an $8 million seed round jointly led by Sequoia Capital and First Round Capital, plus a $30 million Series A headed by Hummingbird Ventures. The company's valuation remains undisclosed. Started in South Africa in 2022 by brother and sister Jemima and Josiah Meyer, the company first launched with a clinical nutrition solution that Jemima had originally created for dietitians. As Josiah explained it, patient charts contain two distinct types of information. Structured fields capture labs, weights, and vital signs, but the most revealing details are buried in what clinicians write down: poor appetite, recent weight loss, muscle loss, trouble swallowing. Their emerging method focuses on extracting both affirmative and negated references to these clinical concepts in a way that's easily extensible and scalable. Today, the company's platform operates in over 50 hospitals, where it screens patients for conditions including malnutrition and delirium, according to Josiah. The startup has additionally developed programs targeting aspiration pneumonia, pressure ulcers, and readmission risk for congestive heart failure - programs Josiah says are still undergoing clinical validation. To identify patients who might be at risk or undiagnosed, Healthleap connects to a hospital's electronic health record system and applies language models to extract information from written notes, such as mentions of recent weight loss or difficulty swallowing. That extracted data is then combined with structured inputs like lab reports and vitals inside its risk models to flag patients who may warrant closer attention. The company emphasizes that its software doesn't diagnose anyone - it only surfaces items for further review. Josiah described the daily process this way: every night, the system analyzes every adult inpatient's record, covering lab results, vital signs, weights, medications, diet orders, diagnoses, clinician notes, and more. Every morning, a risk score is written directly into the care team's existing workflow, accompanied by a dashboard containing additional details about patient trends. Malnutrition was a logical entry point for Healthleap, since it frequently goes undiagnosed and can negatively affect patient recovery in numerous ways. Studies indicate that 20% to 50% of hospital inpatients are malnourished, and some research has connected malnutrition to longer stays, impaired wound healing, infections and other complications, along with higher morbidity and mortality. According to Josiah, Healthleap expanded from three hospital partners to more than 50 over the past year, and its customer list now features Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist and Emory Healthcare. Revenue grew more than 10x during that same period, he said, without providing specific figures. The startup offers three-year contracts priced based on a hospital's licensed bed count, and it also employs an outcome-based pricing model. As Josiah described it, they use the hard ROI that the hospital finance team validates and attributes to them as the measurable ROI. On that basis, they contractually guarantee delivering multiples of the contract price. To date, every customer has achieved a 5x hard ROI or higher, with some exceeding 20x annual total ROI, he said. At the Hospital of the University of Pennsylvania, Healthleap reports that its malnutrition program generated $23.8 million in annualized financial impact - $6.3 million from additional reimbursement and $17.5 million from shorter hospital stays. Healthleap intends to direct the new funding toward engineering, product, sales, and customer success as it builds support for identifying additional conditions. Meyer said the company's long-term goal is to address more than 40 major health conditions and extend into outpatient and home care.