Damage Assessment

AI-driven geospatial analytics deliver rapid post-disaster damage insights for buildings and infrastructure, accelerating insurance claim processing and recovery decisions.

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How does it work?

The manual inspection process following natural disasters is time-consuming, resource-intensive, and often unsafe for field teams. Our AI-powered geospatial analytics automate damage detection and quantification, enabling insurers to process claims faster and allocate resources more effectively.

Faster Assessments: Automates detection of structural damage using satellite and aerial imagery analysis. This reduces assessment time from days to hours, accelerating claim settlements.
Improved Accuracy: Machine learning models identify and quantify damage with precision, minimizing human errors. This leads to fairer claim evaluations and reduces dispute rates.
Safety Enhancement: Remote sensing eliminates the need for immediate on-site inspections in hazardous conditions. Field teams can prioritize critical locations, reducing risk and exposure.
Cost Reduction: Automating initial damage surveys cuts inspection and travel expenses by up to 30%. Insurers can reallocate resources to high-priority cases and improve operational efficiency.
Scalable Coverage: Processes imagery across thousands of square kilometers without additional manpower. This ensures consistent assessments for all affected regions, regardless of scale.
Integrated Workflow: Seamlessly connects with claims management systems through APIs for real-time data exchange. This integration streamlines end-to-end processing and improves stakeholder collaboration.

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 AI-based assessment compare to manual inspections?: AI analytics process imagery at scale in hours compared to days of manual surveys. While manual inspections provide on-site context, AI-driven insights prioritize and streamline field visits.
Why is this solution popular among insurers?: Insurers adopt geospatial analytics for faster claim turnaround and reduced operational costs. Its popularity stems from improved accuracy and the ability to manage large-scale disasters efficiently.
What are the limitations of satellite imagery?: Satellite data may be affected by cloud cover and revisit frequency, delaying assessments in some cases. Combining aerial drones or UAVs can mitigate these limitations by providing higher-resolution, on-demand imagery.
Can this integrate with existing claims systems?: Yes, our platform offers RESTful APIs and connectors for major claims management software. This enables seamless data transfer and real-time status updates across workflows.
How does this compare to alternative data sources like ground sensors?: Ground sensors offer localized, high-frequency data but require extensive deployment and maintenance. Geospatial imaging provides broad area coverage and rapid initial assessments without additional hardware.
Is real-time monitoring available?: Continuous satellite and drone scheduling supports near-real-time damage detection updates. Users can set notification triggers for significant changes, enabling proactive response coordination.

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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