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How AI describes Oasis Loss Modelling Framework

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

Oasis Loss Modelling Framework logoOasis Loss Modelling Frameworkoasislmf.org

Oasis Loss Modelling Framework (LMF) is an open-source catastrophe modelling platform and community that enables developing, deploying and executing models with a full simulation engine, accessible via a web UI and API. Models can come from any source—vendors, academia or research groups—and are packaged in a standard format; the platform includes core execution components (Oasis LMF), standard data formats for hazard and vulnerability (Oasis ktools), and a development toolkit to build, test and deploy models. It promotes open data standards for transparency and interoperability, operates as a not-for-profit, and supports a growing ecosystem of more than 18 suppliers and over 90 models to improve risk assessment for insurance and beyond.

Parse Score

42.8

#193 of 195 in Insurance Underwriting and Claims Tools

Strength6
Reach30
Authority18

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Sources

oasislmf.org shapes more of what AI says about Oasis Loss Modelling Framework than any other source, at 25% of its citations.

moodys.com · fathom.global · verisk.com · iii.org

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The market map

Insurance Underwriting and Claims Tools →
2%5%10%20%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →VeriskTotalPatent OneGuidewireThe InstitutesMoody'sZesty.aiPLUS (Profession…TealThe American Col…LinkedInCotalityNational Associa…Cape AnalyticsInazaOasis Loss Model…

Where AI ranks Oasis Loss Modelling Framework

Insurance Underwriting and Claims Tools#193
  • Excerpts where Oasis Loss Modelling Framework appeared in the AI's answer

    Google AI Mode · excerpt
    Oasis Loss Modelling Framework: An open-source framework that enables the integration of various catastrophe models and provides tools for exposure data analysis.
    Google AI Mode · excerpt
    Oasis Loss Modelling Framework: An open-source framework and platform for catastrophe modeling that includes data standards and tools for analyzing risk.