Lotus Health AI, a startup offering AI-powered primary care, has raised $35 million in a Series A funding round co-led by CRV and Kleiner Perkins, bringing total funding to $41 million. The company was founded in May 2024 by KJ Dhaliwal, who previously sold dating app Dil Mil for $50 million.
The platform operates as a licensed medical practice across all 50 U.S. states, using large language models to conduct patient interviews, assess symptoms, and generate treatment plans. Unlike general-purpose chatbots, Lotus facilitates real medical services, including diagnoses, prescriptions, lab orders, and specialist referrals. All AI-generated clinical decisions are reviewed and approved by board-certified physicians from institutions such as Stanford, Harvard, and UCSF.
Lotus supports 24/7 access in 50 languages and is designed to address shortages in primary care by allowing clinicians to oversee significantly more patients than traditional practices. The system is HIPAA-compliant, carries malpractice insurance, and maintains full patient medical records.
While regulatory complexity remains a challenge, investors believe telemedicine frameworks established during the pandemic make the model viable. Lotus currently offers its services for free, prioritizing adoption and product development over near-term revenue.
The funding comes as major AI labs push deeper into healthcare. OpenAI recently launched ChatGPT Health, a dedicated experience designed to integrate personal health data with stronger privacy controls, while Anthropic has expanded Claude with HIPAA-compliant tools for healthcare and life sciences. Against that backdrop, Lotus is positioning itself not as an assistive interface, but as a fully operational AI-first medical practice, betting that automation combined with physician oversight can reshape primary care delivery at scale.
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