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To protect the world against climate change using deep learning and reinsurance.
The evolving issue of wildfires has cost insurers in Western states dozens of billions of dollars over the past few years. Reinsurers, the firms that provide coverage to insurance companies in case of large events or disasters, have been struck just as hard. Kettle has developed a tech solution to help them combat the emerging and serious threat this poses to the industry.
The company has created an AI/ML solution to help reinsurers make more fine-grained predictions based on statistical models that look at over 7B data points from satellites, weather, MODIS, LIDAR, and ground truth. The idea is to both protect reinsurers from the worst payouts, and to eventually shield consumers from exorbitant costs that are currently being passed down in the form of steeply rising insurance premiums.
This is a hot-button topic in Kettle’s California home turf, and if Kettle’s solution works out it could prove a much-needed tonic to the sector. Much will pivot on how accurate its predictions are, which has provoked some skepticism from major insurers. However, Kettle has predicted the worst fires of the last two years with remarkable accuracy, which could prove the impetus needed to help it gather momentum.
Kirsty
Company Specialist at Welcome to the Jungle
Nov 2021
$25m
SERIES A
Oct 2020
$4.8m
SEED
This company has top investors
Nathaniel Manning
(COO)Previously a Finance Associate for Clean Energy at the Clinton Foundation. After time serving as CEO of Fellow Robots, spent time at The White House as Special Advisor on Open Data at USAID, and meanwhile spent over 7 years as CEO of Ushahidi.
Son Le
(CTO)Originally a Quantitative Researcher at AXA Advisors, and then worked as a Machine Learning Quant at Argo Group, ultimately taking up a Head Quant Engineer role there.
Andrew Engler
(CEO)Served as COO at Allstate, then its Commercial Field Sales Leader. Following that, served as VP of Digital Product and Machine Learning at Argo Group.