Waterlily Secures $7M Seed Funding for Long-Term Care AI Expansion

Waterlily, a San Francisco-based startup, has successfully raised $7 million in seed funding to enhance its AI-driven platform aimed at predicting long-term care needs. Founded by Lily Vittayarukskul, the company utilizes advanced machine learning algorithms to provide personalized care plans that analyze over 500 million data points, helping families and financial advisors estimate future care costs. The funding round was led by John Kim from Brewer Lane Ventures and included investments from major firms such as Genworth, Nationwide, and Edward Jones. Waterlily's platform not only predicts when individuals may need care but also suggests tailored financial strategies, making it a valuable tool in the financial planning landscape. The startup plans to expand its team, improve its AI models, and explore international markets to better serve families in long-term care planning. Since its launch, Waterlily has already partnered with major insurance carriers and aims to address the growing need for financial security in aging populations.