# Our Technology Kettle outperforms the industry by using proprietary machine learning algorithms that use billions of lines of weather, fuel, satellite, anthropogenic, and ground truth data. ## Kettle is an insurer built for the modern world ## We use groundbreaking technology to deliver better, more affordable protection to people and their communities This includes data from NASA, NOAA, and the European Space Agency. ## We process the collected raw data using an extract, transform, and load (ETL) pipeline to build our deep neural network models. This model generates over 2 million wildfire footprints at a 100 meter resolution. ## Our proprietary models capture the temporal and spatial correlations of risk as well as their physical drivers. ## Kettle’s technology includes a family of models- the Ignition Model, Contagion Model, Building Vulnerability Model, Fire Edge High Resolution Downscaling Model & Parcel Risk Assessment Model to predict wildfire risk. Using 42 million grid-level high resolution simulations to generate wildfire ignitions and spreading patterns, Kettle accurately captures the distribution of wildfire risk and property damage. ## Using the Ignition Model, Kettle divides California into 419,000 micro grids - each 0.5 square mile. We train our Genesis Model by discretizing the state of California into grids and analyzing the factors that contribute to a wildfire ignition in a specific month. ## The accuracy score of Kettle’s Genesis Model is 89.2% ## Kettle’s spread model uses AI to emulate the physics and randomness of a wildfire event. Our deep long short term memory convolutional neural network captures both temporal and spatial correlation of wildfire spread, leading to its state-of-the-art performance in predicting the spread of wildfire.