Healthleap raises $38M for its AI that flags hospital patients who may need a closer look
Healthleap has secured $38 million in funding to scale its AI platform that analyzes hospital patient records. The technology identifies undiagnosed conditions like malnutrition and delirium by extracting clinical insights from written physician notes.
Why it matters
AI-driven clinical documentation analysis can significantly improve patient outcomes by catching early-stage illnesses that structured data often misses.
Healthleap , a startup building an AI platform that reads patient records to identify patients at risk of undiagnosed illnesses, has raised $38 million in seed and Series A funding, TechCrunch has exclusively learned.
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 is not disclosing its valuation.
Founded in South Africa in 2022 by siblings Jemima and Josiah Meyer (pictured above), the startup initially offered a clinical nutrition tool Jemima had built for dietitians. But the company later pivoted and built a more general-purpose platform that aims to identify patients admitted to hospitals who may be suffering from conditions like malnutrition or delirium that aren’t often identified early enough, CEO and co-founder Josiah Meyer told TechCrunch.
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