This is a news story, published by TechCrunch, that relates primarily to Lily Vittayarukskul news.
For more Lily Vittayarukskul news, you can click here:
more Lily Vittayarukskul newsFor more personal finance & financial education news, you can click here:
more personal finance & financial education newsFor more news from TechCrunch, you can click here:
more news from TechCrunchOtherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best business news, entertainment news, world news, and much more. If you like personal finance & financial education news, you might also like this article about
Lily Vittayarukskul. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest care plan news, Vittayarukskul news, personal finance & financial education news, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
Explained VittayarukskulTechCrunch
•Business
Business & Economics
82% Informative
Lily Vittayarukskul was studying aerospace engineering when her aunt was diagnosed with terminal colon cancer.
She founded Waterlily, a four-year-old startup aimed at helping individuals and advisors navigate long-term care options.
The company pulls from over 500 million data points and machine learning algorithms to make highly personalized care and cost predictions.
Waterlily only launched its platform publicly in March of 2024 .
It currently has eight “major” enterprise customers, including Prudential and “several other Fortune 100 insurance carriers” The startup plans to use its new capital to build out its engineering data science and enterprise management teams, as well as to continue strengthening its AI models.
VR Score
80
Informative language
77
Neutral language
75
Article tone
informal
Language
English
Language complexity
60
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
3
Source diversity
3
Affiliate links
no affiliate links
Small business owner?