Our Edge
How Sust Global’s Geospatial AI can power your climate-related strategy
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Our partnership with Yield Book: Towards climate-informed metrics in sustainable finance
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Category leading climate hazard analytics
We provide climate hazard analytics for scenario-driven climate projections. We use a patented AI-driven approach that applies insights from remote sensing and frontier climate research.
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Transparent model analysis and backtesting
We calibrate the performance of our hazard projections using space—and ground-based observation datasets. We publish benchmarking results from our AI models and financial metrics from partner applications.
Evaluates how a model performs against past financial market data to assess its predictive accuracy and robustness.
Utilizes statistical methods to validate the model's assumptions, forecasts, and consistency over time.
Examines model performance under extreme market conditions to understand potential risks and vulnerabilities.
Tests the model on a data set not used during model creation to gauge its effectiveness in real-world scenarios.
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Platform integrations into your data warehouse
Using cloud native geospatial processing APIs, we are able to process and serve portfolios of 1000s of assets in minutes and address-level search in seconds. Teams can use our data in their native data warehouses through our platform and marketplace integrations.
Case Studies
Our impact stories
