Identify and Evaluate Risk and Opportunity

Geospatial projects in insurance and financial services face a number of challenges

High-quality data requirements

Geospatial financial analysis comes down to accurately identifying changes and predicting risk. To do this effectively, high-resolution optical and radar data is vital.

Many different variables

Asset values, market trends, and risks to financial and insurance portfolios can only be evaluated when a wide range of disparate variables are taken into account.

Data and insight integration

From satellite and aerial imagery to detection algorithms to map data, geospatial solutions in financial services must find a cohesive way to integrate insights into a single tool.

Insurance and Financial Services

Build geospatial products for financial services

Combine high-resolution optical, radar, and aerial imagery processed by cutting-edge algorithms to gain an edge as you assess risks, spot trends, and evaluate investment opportunities.

Access high-resolution commercial and open satellite imagery
Process your data with machine-learning algorithms
Export data and insights into your analytics platforms via API

Build your solution with UP42

Use case spotlight

Identify and mitigate risks across your financial portfolio

High-resolution imagery and weather data

Access high-resolution Sentinel-2 optical imagery for broad areas of interest. Augment analysis with 1000 historical and forecasted weather parameters.

Predict water-related geohazards

Use out-of-the-box machine learning algorithms processing Sentinel-2 data to predict flooding or exposure to water bodies for your areas of interest.

Gain a holistic view of portfolio risk

Combine weather and geohazard predictions with your own algorithms applied to high-resolution satellite data to get a full picture of your portfolio risk.

Learn more about portfolio risk analysis

Additional Insurance and financial services use cases built with UP42

Gain the geospatial edge in financial markets

Provide financial traders with an edge by analyzing the fundamentals of publicly-traded agricultural companies by monitoring key crop health.

Accurately assess agriculture risk

Determine risk factors associated with reducing or eliminating crop yield based on historical weather, geohazards, and crop health.

Marketplace

The building blocks for insurance and financial services solutions

High-resolution satellite data

Access high-resolution archive imagery or task satellites for a date range, guaranteeing high-quality, low cloud coverage imagery for your AOI.

Pre-processing algorithms

Enhance image quality, convert input data, or clip raster images into tiles to ensure that your input image is ready for further analysis.

Machine-learning algorithms

Process satellite data with object detection algorithms and forecast the risk of major water-related geohazards.

Pléiades

Airbus

Very high resolution 50 cm optical satellite imagery, acquired worldwide. The collection contains data from 2012 to the present.

View all data

Vertical