
After her aunt's cancer diagnosis, Lily Vittayarukskul saw how little support families get. Now her AI long-term care platform Waterlily has raised $9.2 million.
Lily Vittayarukskul was 16 when her aunt was diagnosed with cancer. Her mother became the primary caregiver, the family factory consumed everyone's evenings, and the strain quietly broke relationships that never fully healed. Years later, that experience became the reason she created Waterlily, an AI-powered long-term care planning platform that has raised $9.2 million.
Growing up, Vittayarukskul's world was NASA. At 11 she won a competition with a homemade water rocket and got to visit Kennedy Space Center. She interned there as a young teenager. Aerospace engineering looked like her path.
Then her aunt got sick.
"What I remember most wasn't a single diagnosis or conversation," she said. "It was the quiet."
Her family moved on autopilot – factory shifts, doctor visits, caregiving, no room to pause and talk about what was happening. Her aunt didn't speak much English, so her mother translated at every appointment. The financial toll mounted fast. Vittayarukskul spent her after-school hours at the factory, often until 10 or 11 p.m. Her aunt died, and the family was left with almost nothing financially and a tension that lingered.
Growing up in a first-generation immigrant family, she said she learned early that hard work alone doesn't guarantee security. "You have to create economic value," she said. That lesson shaped everything.
After her aunt's death, she said she started asking a different question. Instead of how to build better rockets, she wondered why families had to navigate life's hardest moments with so little support. She spent nearly a decade leading product and engineering at early-stage companies while learning everything she could about healthcare, financial services, and long-term care. No one, she thought, was solving the problem the way it needed to be solved.
Waterlily launched to fill that gap. The platform uses AI to help people estimate when they may need long-term care, how much it could cost, and how to pay – drawing on health, finances, and family situation to produce personalized projections and funding strategies. Those strategies span insurance, savings, and caregiving plans.
The work has been harder than she imagined. Healthcare, insurance, and financial services operate with different incentives and rhythms, and aging touches all of them. "Every week seems to introduce a new layer of complexity," she said.
After speaking with thousands of families, one finding surprised her. Her own family's experience, she assumed, was unusually devastating. Instead, she found that many families facing serious long-term care needs endure similar financial strain and relationship breakdowns. The details vary. The emotional toll, she said, often looks remarkably similar.
Waterlily offers a free tool on its site that provides personalized insights based on more than half a billion data points. Vittayarukskul said she thinks her aunt would ask two questions: Did you help people? Did you build something honest?
"I'd like to think she'd be proud of both answers," she said.
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