Most people often overlook long-term care until they are older or faced with no other choice. Unfortunately, by that point, it may already be too late. Lily Vittayarukskul was pursuing a degree in aerospace engineering when she witnessed both her oldest brother and mother battle with an illness that required extensive long-term care. The situation became even more challenging when her aunt was later diagnosed with terminal colon cancer. The seek for quality care became daunting, even for those fortunate enough to have some form of insurance.
As a member of a Cambodian immigrant family, Lily experienced the challenges of caregiving firsthand, but the financial burden became unbearable. In a recent interview with TechCrunch, she exclaimed, “It wiped us out financially.” The profound emotional and financial impact of the experience ultimately led her to shift her focus to genetic and data science.
Finally, in December 2021, she decided to take action by founding Waterlily, a San Francisco-based startup aimed at helping individuals and financial advisors navigate long-term care planning through cost modeling and funding strategies. Using artificial intelligence (AI) to forecast a family’s future long-term care needs and expenses, Waterlily predicts a family’s future long-term care needs and expenses, guides them in creating a care plan, and identifies the most suitable ways to finance it. Options may include purchasing life insurance with a long-term care rider, investing in a dedicated LTC policy, utilizing annuities, or self-funding.
Lily explains, “Most people begin thinking about long-term care between the ages of 65 and 70, or only when they need it, but by then, it can be too late.”
Leveraging more than 500 million data points and machine learning algorithms, Waterlily delivers highly personalized care and cost predictions. The platform forecasts when long-term care may be required, how it will unfold, and the potential expenses involved. Lily proudly states, “We have formal data-sharing agreements with long-term care providers, government databases, academic research studies, and individual users.”
Waterlily’s vision is undeniably compelling, and Lily isn’t the only one who sees its potential. She initially launched the company as a solo founder, but it soon caught the attention of angel investor Evan Ehrenberg, the former founder of Clara Health. Evan became intrigued by Waterlily’s early research and the industry’s reaction. Curious, he tested the platform himself and was stunned by its long-term care predictions—so much so that he hired a personal trainer, adjusted his diet, and revised his financial plans. Impressed by its impact, Evan, who became MIT’s youngest neuroscience PhD, officially joined Waterlily as a co-founder.
Evan Ehrenberg [left] and Lily Vittayarukskul [right] together (Image Source: Evan Ehrenberg)
Lily believes Waterlily differentiates itself from competitors by providing a more personalized experience through deep predictive modeling integrated into a user-friendly platform. Although it only launched in March 2024, the company’s monthly recurring revenue (MRR) has already grown to more than 22 times its initial level. Waterlily now serves eight major clients, including several Fortune 100 insurance carriers and Prudential.
Looking ahead, Waterlily aims to expand its services to include disability, critical illness, hospital indemnity, and Medicare planning, enabling families to make more informed health coverage decisions. Additionally, the company is exploring opportunities for international growth, with plans to enter markets in Asia, Canada, and the U.K.
John Kim, former president of New York Life and investor of Waterlily, sees the platform as the first AI-native guidance tool addressing one of the most pressing challenges of an aging American population.
Kim concluded, “Long-term care insurance is a growing and largely underserved need among trusted advisors today. Waterlily’s guidance tool stands alone in its ability to provide customized, personalized recommendations for long-term care needs. I believe it will be a game changer for the LTC insurance marketplace.”
