CartoFront is applying data analytics and predictive modeling to improve the flood insurance distribution process
We have a massive, societal issue: Flood Risk.
And currently, only 12% of US homeowners have flood insurance.
CartoFront is a B2B2C model delivering value to three key stakeholders:
Using a combination of datasets -- property, price/risk, demographics and psychographics -- CartoFront predicts and scores books of business in three manners:
Our technology is built on open technology and API calls, is modular, event driven, resilient and scalable.
Flood Insurance is a very thin margin business, so we aim for high volume and technology efficiency.
We have created an integrated platform to provide a ‘win-win-win’ solution for three critical, interdependent parties in nearly all flood insurance transactions: Carrier <> Agent <> Homeowner
Several innovation roles at McDonalds; developed corporate innovation programs for Fortune 100s, started two innovation centers in Chicago: UI LABS and Salt Flats.
UIUC and Northwestern.
Co-founder of several startups as CEO to CTO. Previous experience as data scientist,
full stack developer, data architect. Industries include finance, real estate and education. UIUC and UofC Booth.
Lead data scientist for several real estate and lending platforms, including co-founding Safe Rate, a new sustainable mortgage finance solution for borrowers and investors. MIT and UofC Booth.