Underwriting Decisions Made Easy

A variety of factors impact a property’s risk, including fuel type, load, and alignment as well as such regional considerations as slope features, climate, and fire history. WDSrisk was created to work with the variety of wildfire risk contributors and gain users an immediate scoring output that’s easily interpreted. The proprietary WDSrisk algorithm is focused on interpreting wildfire risk alone—a unique approach when compared to big data models that dominate the industry—integrating location vulnerability with wildfire hazard potential (WHP) to identify the likelihood the location will sustain a loss in the presence of a wildfire. Outputs identify both loss probability scoring and associate this score to deviation categories for the state to make policy writing decisions easy.

Key Benefits:

  • Outputs make policy writing decisions easy
  • Immediate point analysis via web interface and/or API to aid potential policy decision-making
  • Easily interpreted scoring, identifying loss probability and categories specific the state
  • DOI acceptance in several Western states, confirming use to impact policy pricing and decision making

WDSrisk Solutions

  • Spatially Weighted Modeling: Algorithms incorporate the best aspects of industry standard models without the challenges
  • Multiple weighted layers: Weaves into risk, analyzing many layers and accurately appropriating the influence of distance for each
  • Granularity: WDSrisk score provides finer granularity; increasing pricing options and removes boundary pricing
  • Each layer’s output is combined
  • Algorithm weights the influence of each layer on overall threat.
  • A single, easy to use output is produced
  • Output score can be transposed automatically to correspond to the Insurer’s current risk scale
  • Many outputs that the insurer may already be using can be isolated from the WDSrisk model
  • E.g. Ember Zone

Challenging Industry Standards

Integrated Model

  • Mathematically integrates fuel models with distance, eliminating the challenges associated with using these models separately

Innovative Algorithm

  • Algorithms analyze 874 data points within a 500-meter radius of the home
  • Each data point is weighted based on its distance from the home and the effect of risk at that distance

Price to Risk

  • Accurate analysis of risk creates accurate pricing

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