Risk Visualizer

Interactive geospatial dashboards pinpoint policy exposure zones and aggregate portfolio risk metrics, enabling insurers to optimize underwriting and capital allocation.

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How does it work?

Insurers often lack detailed spatial insights into policy concentrations, increasing vulnerability to correlated losses in severe events. Our platform leverages AI-driven geospatial analytics to map exposures at high resolution, improving risk diversification and capital efficiency.

High-Resolution Mapping: AI processes satellite and address-level data to visualize exposure zones down to the parcel. This precision uncovers hidden concentrations and supports targeted underwriting decisions.
Dynamic Risk Metrics: Aggregates hazard, exposure, and vulnerability into customizable risk scores in real time. It empowers underwriters to compare scenario impacts across regions and portfolios instantly.
Scenario Simulation: Runs stochastic event models and stress tests on your portfolio using geospatial probability layers. Users can assess financial impact under various peril intensities before binding policies.
Portfolio Aggregation: Combines individual policy geolocations into portfolio-level heatmaps and exposure curves. This consolidated view simplifies capital allocation and reinsurance planning.
Real-Time Monitoring: Automated data feeds update exposure maps as new policies are bound or amended. Alerts flag emerging risks from weather forecasts or hazard changes, keeping risk managers proactive.
Regulatory Compliance: Generates standardized reports and visualizations aligned with Solvency II and NAIC requirements. Exportable dashboards and audit trails streamline regulatory submissions and internal reviews.

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 compare to traditional actuarial models?: Unlike spreadsheet-based methods, our platform integrates spatial analytics and AI to capture location-specific perils. This results in more granular risk estimates and faster scenario analyses.
Why is geospatial visualization popular in risk management?: Visual maps reveal cluster formations and exposure spikes that tables can miss. Stakeholders find it easier to interpret spatial dependencies and make informed underwriting decisions.
What are limitations of this platform?: Data quality depends on the resolution of input imagery and public datasets, which can vary by region. Complex peril interactions may require supplemental modeling or domain expertise to fine-tune parameters.
Can I integrate this with existing insurance systems?: Yes, the platform offers APIs and standard data connectors for policy administration and GIS databases. You can embed maps into underwriting portals or BI tools for seamless workflows.
How frequently is exposure data updated?: Update frequency depends on data sources: satellite imagery cycles range from daily to biweekly, while policy feeds can refresh in real time. Users can schedule automated reprocessing to match their reporting cadence.
What alternative methods exist for exposure assessment?: Some insurers rely on static GIS layers and manual geocoding, which lack automation and dynamic hazard overlays. Others use third-party catastrophe models that may not support custom portfolio visualizations.

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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