Climate Risk Lens

AI-driven geospatial analytics quantify physical climate hazards across insurance portfolios, enabling proactive risk management, pricing accuracy, and regulatory compliance.

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How does it work?

Insurers face difficulty assessing portfolio exposure to evolving climate hazards due to data fragmentation and model inconsistencies. Our AI-based geospatial analytics integrates multi-source climate data and advanced hazard modeling, delivering precise, scalable risk insights for underwriting and portfolio management.

Enhanced Exposure Mapping: High-resolution hazard maps integrate with policy locations to reveal spatial concentration of climate risks. This detailed mapping informs targeted underwriting and risk aggregation strategies.
Dynamic Scenario Modeling: Users can simulate multiple climate change trajectories, including temperature rise and sea-level projections. This flexibility supports stress testing and long-term portfolio resilience planning.
Precise Loss Estimation: Machine learning calibrates hazard intensity with historical loss data for more accurate damage predictions. Insurers can refine pricing models and reserve estimates based on location-specific risk profiles.
Portfolio Optimization: Interactive dashboards identify overexposed assets and suggest diversification strategies across regions or lines. This data-driven approach helps balance risk-return and complies with risk tolerance thresholds.
Compliance Reporting: Automated generation of standardized climate risk disclosures aligns with regulatory frameworks like TCFD and Solvency II. Insurers reduce manual reporting effort and maintain audit-ready documentation.
Continuous Monitoring: The platform ingests real-time satellite and sensor data to update risk assessments as hazards evolve. This ongoing surveillance enables rapid response to emerging threats and shifting exposure.

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 catastrophe models?: Unlike static CAT models, our platform uses dynamic geospatial AI to integrate real-time climate data and multiple hazard types. This results in more granular and timely risk assessments for diverse portfolios.
Why has this approach become popular among reinsurers?: Reinsurers value its ability to quantify emerging risks across large portfolios with consistent methodology. The scalable analytics support informed capital allocation and reinsurance purchasing decisions.
What are the limitations of AI-driven hazard analytics?: Model accuracy depends on the quality and granularity of input data, which may vary by region. Uncertainties in long-term climate projections also require scenario diversity and expert review.
Are there alternatives to geospatial climate-risk analytics?: Insurers can use third-party vendor reports or in-house actuarial models, but these often lack spatial granularity or real-time updates. Our solution combines AI and GIS for customizable, location-specific insights.
How does this compare to in-house GIS risk tools?: In-house GIS tools may handle spatial data but often lack integrated climate models and AI-driven hazard forecasting. Our platform offers end-to-end analytics with automated data ingestion and model updates.
Can I integrate alternative climate data sources?: Yes, the platform supports importing external datasets such as local weather stations or proprietary sensor networks. This flexibility enhances model calibration and regional risk accuracy.

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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