Risk Map Insights

Combines flood, wildfire, and storm hazard layers with building data and historical claims to produce granular risk scores for properties.

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How does it work?

Insurers struggle to assess multi-hazard exposure at property level using siloed data sources, leading to underwriting uncertainty. This AI-driven geospatial platform integrates diverse hazard models and property attributes to deliver precise risk maps, enhancing portfolio management and pricing accuracy.

Multi-Hazard Layering: Integrates flood, wildfire, hurricane, and earthquake data into a unified hazard map. This holistic view reveals overlapping exposures often missed by single-hazard approaches.
Granular Risk Scores: Generates property-level risk metrics down to parcel resolution. These scores enable underwriters to differentiate policies based on precise localized risk.
Historical Claim Integration: Incorporates past loss records and claims data to calibrate risk models. This improves predictive accuracy by aligning hazard projections with real-world outcomes.
Dynamic Scenario Modeling: Simulates future scenarios under climate change and land use changes with AI-driven algorithms. Underwriters can test risk impacts under varying assumptions quickly.
Portfolio Visualization: Visualizes entire insurance portfolios on interactive maps with filterable risk categories. This aids risk aggregation analysis and capital allocation decisions.
Regulatory Compliance: Ensures risk assessments meet regional and international reporting standards like Solvency II or NAIC. Automated data exports streamline regulatory submissions.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this platform compare to traditional CAT models?: Unlike conventional catastrophe models that rely on static hazard footprints, our platform uses AI to dynamically integrate real-time environmental data and property attributes. This results in more adaptive risk estimates that reflect current conditions and emerging threats.
Why is AI-based risk mapping becoming popular among insurers?: AI-driven geospatial analysis automates data ingestion and model calibration, reducing manual processing time by up to 50%. Insurers value its ability to generate high-resolution risk insights and support data-driven decision workflows.
Can this solution handle regional differences in hazard data availability?: Yes, the platform supports multiple data sources including global satellite imagery, local sensor networks, and proprietary datasets. Adaptive algorithms fill gaps and harmonize data to maintain consistent risk mapping across regions.
What are the limitations of AI-based hazard assessments?: Model accuracy depends on data quality and coverage; sparse imagery or outdated building footprints can affect results. Complementary ground truthing and periodic data updates are recommended to validate and refine risk estimates.
How does this solution integrate with existing underwriting systems?: APIs and standard GIS formats allow direct integration with policy administration and risk management tools. This seamless data exchange supports automated workflows and reduces manual data transfer errors.
Are there alternatives to AI-driven geospatial risk mapping?: Traditional statistical models and rule-based GIS analyses offer simpler setups but lack adaptive learning capabilities. While cost-effective for small portfolios, they often require more manual updates and may struggle with multi-hazard complexity.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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