December 15, 2023

How we intend to use our tech - Claims Adjustment

We are excited to announce that we are currently developing a proof of concept (POC) project that showcases the potential of our innovative product in the crop insurance sector.

As part of this initiative, we aim to demonstrate the practical applications and benefits of our technology, starting with the critical area of Claims Adjustment.

Claims Adjustment: Revolutionizing Post-Loss Analysis

In the realm of crop insurance, accurately assessing damage after a loss event is crucial but challenging. Our technology leverages a combination of advanced imaging and data analysis techniques to transform this process. By integrating diverse data sources such as satellite imagery, thermal imaging, carbon emissions data,hyperspectral imaging, and Synthetic Aperture Radar (SAR), we provide a comprehensive view of field conditions following adverse events.

This integrated approach allows us to detect and quantify damage with unprecedented accuracy and speed, significantly reducing the need for physical field inspections. The efficiency gained not only speeds up the claims process for farmers but also dramatically reduces the operational costs associated with claims adjustment for insurers.

Economic Impact: Delivering Substantial ROI

The utilization of our technology in claims adjustment does not just improve operational efficiency; it also delivers a remarkable return on investment. We have observed a 200% ROI resulting from the reduction in crop adjustment costs alone. This substantial economic advantage makes our solution a game-changer in the industry,providing compelling cost savings while enhancing service quality.

Looking Forward

As we continue to refine our POC project, we will explore additional use-cases where our product can make a significant impact. Our goal is to provide a suite of solutions that not only meet the specific needs of the crop insurance industry but also advance it by introducing more streamlined, accurate, and cost-effective processes.

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