US AI healthcare startup Lotus Health recently announced the completion of a $35 million Series A funding round, led by renowned venture capital firms CRV and Kleiner Perkins, with participation from multiple medical technology funds. The news, exclusively reported by TechCrunch, signals the company’s rapid growth in the digital health sector.
AI Doctor: Free Service, Fully Licensed Across the US
Lotus Health’s core product is an AI doctor application called 'Lotus Doc,' which users can consult for free via mobile or web. The AI system has obtained medical licenses in all 50 US states, a rare industry achievement. Typically, AI medical tools require state-by-state licensing, a long and complex process. Lotus Health’s founder stated: “Our goal is to make high-quality healthcare accessible, especially for low-income groups and residents in remote areas.”
“This AI doctor has been licensed in all 50 states.” — Lotus Health official statement
According to reports, Lotus Doc leverages advanced machine learning models, including GPT-like language models and computer vision technology, to analyze symptom descriptions, uploaded medical images (such as X-rays), and electronic medical records, providing preliminary diagnoses and treatment recommendations. Unlike traditional telemedicine, it operates entirely for free, monetizing through anonymized data sold to pharmaceutical companies and research institutions.
Funding Details and Investor Background
This funding round was co-led by CRV (formerly Charles River Ventures) and Kleiner Perkins. CRV has previously invested in unicorns like Twitter and Discord, while Kleiner Perkins is a legendary Silicon Valley VC that early-backed Google and Amazon. Lotus Health stated that the new capital will be used to hire AI engineers, expand clinical validation, and develop multilingual support, with a goal of covering global markets.
Author Marina Temkin noted in her report on February 4, 2026, that this funding round comes amid a boom in the AI healthcare market. Global digital health investments exceeded $50 billion in 2025, with the AI sub-sector growing by 40%.
Industry Background: The Rise and Challenges of AI Healthcare
The application of AI in healthcare is not new. In the early 2010s, IBM Watson Health promised revolutionary diagnostics but fell short due to data privacy and accuracy issues. In recent years, with the advancement of large language models such as OpenAI’s GPT series and Google’s Med-PaLM, AI doctors have begun to emerge. Competitors include the UK’s Babylon Health (now bankrupt) and the US’s K Health, which operates on a subscription model.
Lotus Health’s uniqueness lies in its free model and nationwide licensing. This is thanks to the relaxation of the FDA’s SaMD (Software as a Medical Device) framework and the recognition of telemedicine across states. A 2024 study showed that AI diagnostic accuracy has exceeded 85%, comparable to junior physicians. However, challenges remain: data bias, liability attribution, and cybersecurity are still pain points. In 2025, multiple AI misdiagnosis lawsuits highlighted the need for regulation.
Supplemental industry data: According to Statista, the AI healthcare market is projected to reach $187 billion by 2030. Chinese companies such as Alibaba Health and Tencent Miying are also accelerating their deployments, reflecting a global competitive landscape.
Editor’s Note: Free AI Doctor—A Dawn of Healthcare Democratization?
As an AI tech news editor, I believe Lotus Health’s funding is not just a capital chase but a milestone for healthcare equity. Free services can significantly lower barriers to care, especially against the backdrop of the fragmented US healthcare system. However, we must be cautious about over-reliance on AI—it should assist, not replace, human doctors. In the future, with the integration of quantum computing and federated learning, AI healthcare will become more accurate and secure. Investors’ optimism toward Lotus may signal a new wave of M&A. Industry professionals are advised to monitor its clinical trial data to assess true potential.
Overall, this case highlights AI’s transition from a tool to a service platform, ushering in the era of 'Health as a Service.'
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This article is compiled from TechCrunch, author Marina Temkin, original date February 4, 2026.
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