Rapid Quake Map

AI-driven analysis delivers high-resolution earthquake damage footprints within hours, enabling reinsurers and capital markets to refine exposure valuations and risk transfer strategies.

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How does it work?

Post-quake damage assessments are often delayed and rely on sparse ground reports, leaving insurers and investors with outdated exposure estimates. Rapid AI-based satellite and aerial imagery analytics provide timely, granular damage footprints, enhancing accuracy and decision-making in capital allocation and reinsurance structuring.

Rapid Insights: Generate damage maps within hours of an earthquake using automated AI analytics. This speed reduces exposure uncertainty and accelerates claims preparation and reinsurance negotiations.
High-Resolution Footprints: Leverage multi-sensor satellite and drone imagery for meter-scale damage detection. Detailed mapping identifies collapsed structures, liquefaction zones, and infrastructure damage with high precision.
Portfolio Stress Testing: Simulate potential losses across diverse asset portfolios under various seismic scenarios. Advanced risk metrics and stress tests inform capital allocation and reinsurance treaty design.
Scalable Coverage: Process vast geographic areas simultaneously, from urban centers to remote regions. Cloud-native architecture handles multiple events and large datasets without performance degradation.
Seamless Integration: APIs deliver damage assessments directly into risk management systems and portfolio analytics dashboards. Standardized outputs ensure compatibility with industry software and reporting workflows.
Data-Driven Pricing: Incorporate real-time damage metrics into pricing models for catastrophe bonds and reinsurance contracts. Enhanced loss estimates improve transparency and investor confidence.

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 aerial surveys?: Traditional aerial surveys rely on manual interpretation and can take days to complete damage assessments. Our AI-driven imagery analytics automate feature extraction and deliver comprehensive damage maps within hours, significantly shortening the response time.
Why is AI-based assessment popular in reinsurance?: AI-based assessment provides faster, more consistent damage detection than manual methods, reducing exposure uncertainty. Its scalability and integration capabilities make it a preferred choice for reinsurers and capital market participants seeking timely risk insights.
Can this solution replace ground inspections entirely?: While AI-driven damage mapping offers rapid, broad coverage, it complements rather than fully replaces targeted ground inspections. Ground truthing remains essential for detailed structural assessments and claims validation in complex cases.
What are the limitations of satellite imagery?: Satellite imagery can be affected by cloud cover, image resolution, and revisit frequency limitations. Combining multiple sensors and integrating drone or aerial data mitigates these gaps for more reliable damage detection.
Are there alternatives to AI-based geospatial analytics?: Alternative approaches include manual photo interpretation, crowdsourced damage reports, and ground-based sensor networks. However, these methods often lack the speed, consistency, and spatial coverage offered by AI-driven imagery analytics.
How accurate are damage estimates compared to field surveys?: Validations against field surveys show meter-scale damage maps achieving over 85% detection accuracy for collapsed structures and critical infrastructure failures. Accuracy varies with imagery resolution and sensor mix, but continuous model refinement improves reliability over time.

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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