Waterlily is a San Francisco-based startup that uses AI and more than 500 million data points to predict when and how a person will need long-term care, what it will cost, and how to pay for it. Built primarily for financial advisors and insurance carriers, its software turns one of retirement planning's most avoided questions into a concrete, personalized plan - from care projections to matching families with optimal long-term care insurance policies in under a second.
Lily Vittayarukskul is the co-founder and CEO of Waterlily, a San Francisco AI company that predicts when a person will need long-term care, for how long, and what it will cost - then helps families figure out how to pay for it. A child prodigy who started college at 14 and interned at NASA by 16, she pivoted from aerospace engineering to healthcare after her aunt's terminal cancer diagnosis exposed how unprepared most families are for the cost of caregiving. Waterlily runs more than 500 million data points through proprietary AI models, has raised roughly $10 million from investors including Genworth, Nationwide and Edward Jones Ventures, and landed Lily on the Forbes 30 Under 30 list.