Claims Fraud AI

Leverage high-resolution satellite and drone imagery with AI analytics to validate claims, detect fraudulent damage patterns, and reduce claim processing costs.

How does it work?

Manual claims inspections are time-consuming and vulnerable to oversight, leading to undetected fraud and inflated payouts. AI-driven imagery analysis automates damage assessment and anomaly detection, improving accuracy and speeding up claim validation.

Automated Damage Assessment

AI models evaluate high-resolution imagery to quantify structural damage and physical anomalies. This replaces manual photo reviews and reduces human error in early claim stages.

Fraud Pattern Detection

Machine learning identifies unusual damage signatures and repeated claimant behavior across geographies. It flags high-risk claims for further investigation, improving fraud catch rates.

Faster Claim Processing

On-demand satellite and drone imagery accelerates evidence collection without field visits. Automated analysis delivers instant insights, cutting validation time by up to 40%.

Reduced Operational Costs

By minimizing on-site inspections and manual reviews, insurers lower adjuster travel and labor expenses. The platform can reduce claim handling costs by up to 30%.

Enhanced Geospatial Context

Overlaying claims data on geospatial maps reveals environmental and regional risk factors. This spatial insight supports more informed underwriting and regional fraud prevention.

Scalable Multi-Source Integration

The system ingests satellites, drones, and IoT sensors, offering flexible data inputs. Scalable cloud processing handles thousands of claims simultaneously.

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 solution compare to manual inspections?
Unlike manual methods, automated imagery analysis processes thousands of images quickly with consistent accuracy. This reduces human error and accelerates claim evidence gathering compared to field visits.
Why is geospatial imagery popular for fraud detection?
Insurers adopt geospatial imagery because it provides objective, time-stamped evidence of property conditions. This popularity stems from improved claim validation accuracy and reduced dispute resolution.
What are alternatives to satellite imagery in this platform?
The solution integrates drone and aerial photography as alternatives to satellite data, offering higher resolution and on-demand flights. It also ingests IoT sensor feeds like ground cameras and weather stations for complementary insights.
Are there limitations in areas with frequent cloud cover?
Cloud cover can obscure optical imagery, requiring satellite scheduling adjustments or data from radar sensors. Integrating synthetic aperture radar and multispectral sources mitigates this limitation and ensures consistent coverage.
Can this platform detect pre-existing damage versus new claims?
By analyzing time-series imagery, the AI differentiates new damage from historical records with high precision. This temporal comparison improves accuracy in validating claim timelines and prevents payouts on old incidents.
How does processing speed compare to traditional methods?
Automated AI analysis delivers results in minutes compared to days or weeks for manual field inspections. This speed reduces claim backlog and enhances customer satisfaction through faster resolutions.

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.