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Granular flood analytics

Unique Pluvial Flood Index

Better understand your flood risk with high-resolution (1×1 m), claims-trained data. Improve pricing accuracy, optimize portfolios, and safeguard assets.

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Meet our partners and clients

Protect profits

  • Enabling insurers, reinsurers and banks to lower loss ratios
  • Protecting asset owners and operators from flood disasters

Unlock advanced geo science

  • Base understanding of flood risk on hyper-local geo data
  • Capture ever changing climate, landscapes, and urban areas

Access power of claims training

  • Reap accurate insights from unique flood claims dataset
  • Combine actuarial and geo sciences in unpreceded ways

Transform how you assess flood risk with our data stack

Interested in how we help you prepare for a climate risky future?

What some of our
partners are saying

  • Scott Gunther IAG Firemark Ventures General Partner

    Access to real-time, data-driven insights enables insurers to better support customers 
in understanding and mitigating their risks

  • Pål Sæterhagen, Head of Property Insurance at Fremtind

    The collaboration with 7Analytics makes us market leading on physical climate risk

  • Tore Tenold, CEO of KLP Insurance

    7Analytics’ innovative flood risk model nicely supplements our existing risk modelling and deepens our understanding of the risk landscape ahead

  • Håkon Hommerstad-Tveit, Head of Product, Data, and Analytics at JBF Insurance

    Our collaboration with 7Analytics will not just improve our flood risk assessments but also actively prevent damage and protect our customers’ interests

  • 28.01.2026

    We’re hiring: Hydrologist / Catastrophe Risk Modeller

  • Report

    04.12.2025

    The Norwegian Central Bank: Housing-related costs may increase as a result of more extreme weather

  • Report

    21.01.2026

    Housing Lab: New research highlights a critical blind spot for banks and mortgage lenders: pluvial flood risk

  • Article

    01.10.2025

    #TECH_SECRETS: Scaling Flood Predictions Across Continents with Kubernetes