Waterlily Uses AI To Predict Long-term Care
Lily Vittayarukskul's startup Waterlily uses AI to estimate individual probabilities, timing, and costs of long-term care, launched in 2021 and informed by CMS datasets. The tool helps advisors compare long-term care insurance, life insurance riders, annuities, and self-funding, and has won Best in Show and Advisor’s Choice at XYPN Live while raising nearly $10 million in venture funding. This enables advisors to create more precise, personalized retirement and care funding plans for clients.
Key Points
- 1Applies AI models to predict individual long-term care probability, timing, and expected costs
- 2Addresses large need as 10,000 Americans turn 65 daily and one-in-five face $200,000+ costs
- 3Enables advisors to compare insurance, annuities, self-funding scenarios for personalized planning
Scoring Rationale
Credible, fund-backed product offering practical planning tools, limited by being an incremental startup solution rather than foundational AI research.
Sources
Public references used for this report.
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