San Francisco Startup Healthleap Raises $38 Million
The AI health firm plans to scale its clinical screening platform to identify more than 40 medical conditions.
Updated on Oct. 30, 2026 in Healthcare

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San Francisco-based Healthleap has secured $38 million in combined seed and Series A funding to expand its AI clinical screening services. The company develops software that analyzes electronic health records to identify high-risk patients.
Why it matters
The platform helps healthcare providers detect conditions such as malnutrition and delirium more effectively. By automating record reviews, the technology supports earlier interventions and improves billing accuracy.
The startup secured $30 million in Series A funding led by Hummingbird Ventures and $8 million in seed capital from Sequoia Capital and First Round Capital. The platform has demonstrated a 39% increase in malnutrition case identification and $11 million in reimbursement gains.
The players
Healthleap
This San Francisco-based technology company creates AI-driven software designed to analyze clinical data and identify at-risk patients.
Sequoia Capital
This prominent venture capital firm invests in early-stage startups and co-led the company's initial seed round.
Hummingbird Ventures
This investment firm provides capital to emerging technology businesses and led the latest Series A funding round for the startup.
The details
Founded in 2022, Healthleap uses proprietary software to scan electronic health records and clinician notes for signs of at-risk patients. The company currently intends to use the new capital to grow its engineering, product, and sales teams.
Timeline
Healthleap was established in 2022.
The company announced its $38 million funding total on October 30, 2026.
Market Landscape
Healthleap joins an increasingly competitive field of startups leveraging artificial intelligence to optimize clinical documentation and diagnostic accuracy. This investment underscores a broader industry pivot toward using automated data analysis to secure financial performance while improving patient outcomes.
The expansion of this screening tool may lead to more accurate medical billing and improved diagnostic coverage for patients treated at partner health systems. As the company scales, more clinicians and hospitals are expected to implement these automated screening protocols.
The takeaway
Advancements in AI diagnostic tools demonstrate the potential to reduce administrative oversight while improving patient safety. Healthcare providers increasingly rely on these platforms to optimize clinical operations and billing processes.
Further reading
Learn more about local industry growth at Healthcare.
Source note: This article includes information reported by WeeTracker.
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