ChatGPT GPT-6 Is Now the Default for All of ChatGPT's 1.2 Billion Weekly Users, With Answers That Render Interactive UIs News Healthleap Raises $38 Million for AI That Reads Hospital Charts Overnight to Catch Missed Malnutrition and Delirium Business Broadcom Seeks More Than $50 Billion to Finance OpenAI Custom Chips, With Apollo and Blackstone in Early Talks Claude Anthropic Cuts Haiku 5.5 API Prices by Up to 90% to Match GPT-6 Luna, and Gives It a 1M-Token Context Window Gemini Google Opens SynthID to Everyone: A Public Website That Tells You Whether an Image, Video or Audio Clip Is AI-Generated Meta Meta's AI Caught 97% of 33.2 Million Child-Exploitation Items Before Users Reported Them — Now an LLM Hunts "Signposting" Ads Business CoreWeave Enters India With 240 MW in Mumbai: Three Buildings at Adani's Taloja Campus Will Run NVIDIA Vera Rubin From 2028 Microsoft Copilot Microsoft Bets Windows on Hybrid Intelligence: MAI Code 1.1 Flash Comes to Win11 as the $5,999 Surface RTX Spark Dev Box Opens for Preorder ChatGPT GPT-6 Is Now the Default for All of ChatGPT's 1.2 Billion Weekly Users, With Answers That Render Interactive UIs News Healthleap Raises $38 Million for AI That Reads Hospital Charts Overnight to Catch Missed Malnutrition and Delirium Business Broadcom Seeks More Than $50 Billion to Finance OpenAI Custom Chips, With Apollo and Blackstone in Early Talks Claude Anthropic Cuts Haiku 5.5 API Prices by Up to 90% to Match GPT-6 Luna, and Gives It a 1M-Token Context Window Gemini Google Opens SynthID to Everyone: A Public Website That Tells You Whether an Image, Video or Audio Clip Is AI-Generated Meta Meta's AI Caught 97% of 33.2 Million Child-Exploitation Items Before Users Reported Them — Now an LLM Hunts "Signposting" Ads Business CoreWeave Enters India With 240 MW in Mumbai: Three Buildings at Adani's Taloja Campus Will Run NVIDIA Vera Rubin From 2028 Microsoft Copilot Microsoft Bets Windows on Hybrid Intelligence: MAI Code 1.1 Flash Comes to Win11 as the $5,999 Surface RTX Spark Dev Box Opens for Preorder

Healthleap Raises $38 Million for AI That Reads Hospital Charts Overnight to Catch Missed Malnutrition and Delirium

Healthleap Raises $38 Million for AI That Reads Hospital Charts Overnight to Catch Missed Malnutrition and Delirium

Healthleap, founded in 2022 in South Africa by siblings Jemima and Josiah Meyer, raised an $8 million seed co-led by Sequoia Capital and First Round Capital plus a $30 million Series A led by Hummingbird Ventures. Its AI screens every adult inpatient nightly, flagging under-diagnosed conditions like malnutrition and delirium; it now operates in more than 50 hospitals including Penn Medicine and Cedars-Sinai.

Healthleap, a startup whose AI platform reads hospital patient records to catch conditions that often go undiagnosed, has raised $38 million across seed and Series A funding, TechCrunch exclusively reported. The package combines an $8 million seed round co-led by Sequoia Capital and First Round Capital with a $30 million Series A led by Hummingbird Ventures. The company is not disclosing its valuation.

Founded in South Africa in 2022 by siblings Jemima and Josiah Meyer, Healthleap began as a clinical nutrition tool Jemima built for dietitians before pivoting to a broader early-warning platform. The premise is that a patient's chart holds two kinds of data, and the most telling signs live in the least structured one. "Labs, weights, and vital signs sit in structured fields, but the most telling signs sit in clinicians' written notes: poor appetite, recent weight loss, muscle loss, trouble swallowing," CEO Josiah Meyer told TechCrunch. The company's approach extracts affirmative or negated mentions of those clinical concepts at scale.

Each night, the platform analyzes the records of every adult inpatient — lab results, vital signs, weights, medications, diet orders, diagnoses and free-text notes — and each morning it writes a risk score into the care team's existing workflow. The software does not diagnose; it flags patients for closer review, feeding language-model extractions from notes into risk models alongside structured data. Conditions in production include malnutrition and delirium, with programs for aspiration pneumonia, pressure ulcers and congestive heart failure readmission risk undergoing further clinical validation.

Malnutrition is a quietly expensive starting point: research suggests 20% to 50% of hospital inpatients are malnourished, a condition frequently missed that is linked to longer stays, impaired wound healing, infections and higher mortality. Healthleap says it has grown from three hospital partners to more than 50 in the past year — customers now include Penn Medicine, Cedars-Sinai, Intermountain, Houston Methodist and Emory Healthcare — and that revenue has grown more than 10x over the same period. Those figures are company-reported and have not been independently audited.

The commercial model is unusual enough to note: three-year contracts priced by licensed bed count, plus outcome-based pricing in which Healthleap contractually commits to delivering multiples of the contract price against hard ROI that the hospital's own finance team validates. Every customer to date has seen at least 5x hard ROI, in some cases over 20x annually, according to Meyer — again, the company's own accounting. At the Hospital of the University of Pennsylvania, Healthleap says its malnutrition program produced $23.8 million in annualized financial impact, $6.3 million from additional reimbursement and $17.5 million from shorter stays.

The fresh capital goes toward engineering, product, sales and customer success as Healthleap extends to more than 40 major conditions and, eventually, outpatient and home care. The interesting seam it works is the overnight one: hospitals are staffed for the patients in front of a clinician, not for the quiet deterioration of someone whose chart only a machine read at 3 a.m. If the outcome-based pricing survives contact with hospital finance departments at scale, that alignment — paying only for validated savings — may prove the more consequential innovation than the models themselves.

Comments (0)

Log in to join the discussion

Log In

No comments yet