I work in property insurance, and I'm curious as to how lemonade got their product past state regulators if it's truly some whiz-bang AI or machine learning stu

I work in property insurance, and I'm curious as to how lemonade got their product past state regulators if it's truly some whiz-bang AI or machine learning stuff driving their model. Most states want to be able to review and understand filings, and a black box isn't conducive to that. Maybe they're using it for feature selection? Edit: Found one of their filings on SERFF public filing access. Lookup WESA-130711665 on https://filingaccess.serff.com/sfa/home/NY https://filingaccess.serff.com/sfa/home/NY if you're interested. 'Rate Support.pdf' has the meat. It doesn't look like anything special, honestly. They admit most of it is copied from the largest insurers in the state, and they use a proprietary credit model from Transunion. This makes sense given that they don't have any data to train it on since they're, you know, new.