Yield Loss Tracker

AI-driven satellite analytics automate crop damage assessments and yield-loss estimations, accelerating claims validation and reducing fraud for insurers.

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How does it work?

Insurance companies rely on manual field inspections and outdated data, leading to slow claims processing and inconsistent loss estimates. Our AI-based geospatial analytics deliver standardized, scalable satellite- and drone-derived damage metrics, enabling rapid, objective yield loss estimation.

Rapid Damage Assessment: Satellite imagery and AI models identify crop damage within days of an event. This immediacy speeds up claim evaluation and payouts across large territories.
Objective Loss Metrics: Quantitative yield-loss figures derived from consistent algorithms eliminate subjective biases. Insurers gain transparent, comparable data to support claim decisions.
Scalable Coverage: Automated analysis processes thousands of hectares without manual effort. This scalability accommodates regional or national portfolios with variable risk profiles.
Fraud Reduction: High-resolution time-series imagery detects inconsistencies and potential exaggerations. Early identification of anomalies mitigates fraudulent claims and reserves.
Cost Efficiency: Reducing the need for in-person inspections cuts operational expenses significantly. Resources can be reallocated to high-value risk assessments.
Automated Reporting: Customizable dashboards and API deliver structured reports directly into insurance workflows. Real-time alerts ensure stakeholders stay informed at every stage.

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 field surveys?: Manual surveys involve travel and subjective checks, leading to longer delays and variable accuracy. Our geospatial analytics deliver consistent, near-real-time insights without field deployment.
Why is geospatial analytics popular among insurers?: Insurers adopt geospatial analytics for its ability to aggregate multi-source imagery and automate loss modeling. This popularity stems from improved decision speed and reduced dispute rates.
Are there limitations to satellite-based yield-loss estimation?: Satellite data can be hindered by cloud cover, limiting visibility during critical windows. Resolution constraints may affect smallholder plots, so integrating drone or ground sensors can improve detail.
Can I integrate this platform with existing claim management systems?: Yes, the platform offers RESTful APIs and standard GIS data formats for seamless integration. This flexibility ensures smooth data exchange with policy administration software.
How frequently can damage assessments be updated?: Assessment frequency depends on your imagery sources—typical satellite revisits range from daily to bi-weekly. You can also schedule drone flights on demand for real-time updates.
What alternatives exist for yield-loss estimation?: Traditional alternatives include manual inspections, yield monitors, or fixed-point sensors, which can be labour-intensive and fragmented. Our solution combines multi-temporal imagery and AI to deliver a unified, scalable approach.

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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