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# Addresscloud adds Skyblu high-resolution European wildfire model
- URL: https://www.ai-360.online/addresscloud-skyblu-european-wildfire-model/
- Published: 2026-05-26T12:00:00.000Z
- Updated: 2026-10-26T17:12:30.000Z
- Description: Addresscloud made Skyblu's 20-metre pan-European wildfire risk model available on its platform, with forward-looking probabilities for 2026–2030.
- Author: AI-360
- Tags: BFSI, News, #company-addresscloud, Product, #industry-banking-finance

[Addresscloud](https://www.addresscloud.com/?ref=ai-360.online) made Skyblu's high-resolution pan-European wildfire risk model available on its platform, the company [said on 26 May 2026](https://www.addresscloud.com/blog/addresscloud-adds-skyblus-high-resolution-european-wildfire-model-as-climate-risk-intensifies?ref=ai-360.online).

The model is described as 20-metre resolution risk scoring across Europe, built on satellite observations from 2001 to 2023 plus climate and vegetation data, with forward-looking wildfire probability for 2026 to 2030\. Geography spans Portugal to Poland and the UK to Greece, including regions not historically associated with fire exposure. Addresscloud cited predictive performance of about AUC 0.9, with drivers including historical fire activity, weather patterns and vegetation types. The parties said they are already supporting insurers and MGAs with European portfolios including France, Spain and Poland, and are also supporting wind and hail modelling in selected markets with a broader European rollout planned.

Mark Varley, chief executive of Addresscloud, said: "Wildfire risk in Europe is evolving quickly, and insurers are having to adapt to a much more dynamic and complex risk landscape. Access to precise, forward-looking data is becoming essential for underwriting and portfolio management. By combining Skyblu's modelling expertise with our platform, we're enabling insurers to assess risk at a far more granular level and make more informed decisions." Kinga Kita-Wojciechowska, chief executive of Skyblu, said: "We built this model with real underwriting use cases in mind, focusing on both accuracy and usability. As climate patterns shift, insurers need to understand risk at a much more local level."

AUC and burned-area context figures are company claims and have not been independently verified by AI-360.