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.

Flai, an AI-powered customer relationship management software for car dealerships, has raised $27 million in Series A funding led by Base10 Partners. The round included investments from Friedkin Group, Findlay Automotive, Toyota's venture arm, Y Combinator, and First Round Capital. The startup now works with more than 10 of the top 50 dealer groups in the US. Its AI handles customer interactions, outbound campaigns, and scheduling across sales and service, booking 50,000 appointments monthly. This growth has driven a 20-fold revenue increase over the past year. Flai's software can be implemented in dealerships within 10 days of contract signing. The company has expanded from three employees to around 40. Half of its revenue now comes from new customers, largely through peer referrals amongst dealers. CEO Ari Polakof said the startup differentiates itself through deep integration tailored to each dealer's specific needs, going beyond basic phone answering to comprehensive customer management.

Arlington, Virginia-based Quartermaster has raised $140 million in Series B funding, just months after closing a $43 million Series A in May. The round was led by Insight Partners, with participation from new investor Overmatch Ventures and existing backers including First Round Capital. An additional $40 million came via a debt facility from Stifel. The startup deploys weather-hardened sensors called SmartMast on ships' masts to capture real-time maritime data using cameras and radios. This provides governments, shipping companies and insurers with far more information than standard location tracking systems. Each SmartMast records tens of gigabytes daily. Over 650 vessels across 25 countries now use the technology, with 800 units shipped to customers. Founder Neil Sobin said recent shipping chaos has driven demand for maritime surveillance capabilities.