phidea

flood catastrophe imagery

Ranked comparison

4 tools covered · methodology
  1. Catastrophe-risk modelling platform for insurers, reinsurers, and brokers. 100+ models spanning natural and man-made perils across nearly 100 countries. Founded as Applied Insurance Research in 1987; acquired by Verisk in 2002; rebranded from AIR Worldwide to Extreme Event Solutions in January 2022.

    traction
    2/5
    maturity
    5/5
    coverage
    4/5
    recognition
    2/5
  2. #2 · ai-native · risk-imagery

    ICEYE

    www.iceye.com
    13/20
    65%

    Finnish-headquartered operator of the world's largest commercial synthetic-aperture radar (SAR) satellite constellation, delivering near-real-time flood, wildfire, hurricane, and earthquake damage data to insurers, reinsurers, and brokers for parametric triggers and catastrophe claims verification. SAR's all-weather, day-or-night imaging is the capability optical imagery cannot match.

    traction
    3/5
    maturity
    4/5
    coverage
    4/5
    recognition
    2/5
  3. #3 · ai-native · risk-imagery

    Zesty.ai

    zesty.ai
    11/20
    55%

    AI-native property risk intelligence platform specialising in wildfire and catastrophe risk scoring for US homeowners and commercial carriers. Z-FIRE, its wildfire model, was the first AI-based rating model approved by the California Department of Insurance (June 2021) and now covers carriers insuring roughly 40% of the California homeowners market, alongside Z-HAIL, Z-WIND, and Z-STORM for severe convective storm perils.

    traction
    3/5
    maturity
    4/5
    coverage
    2/5
    recognition
    2/5
  4. #4 · modern · data-platform

    CoreLogic

    www.corelogic.com
    9/20
    45%

    Property data and hazard-risk platform that powers underwriting, claims workflow, and catastrophe modeling for US P&C carriers.

    traction
    1/5
    maturity
    5/5
    coverage
    2/5
    recognition
    1/5