Our Solutions

Sust Global’s Transformative Geospatial AI enables decision-makers at the data frontier

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Multimodal data inputs

Our Geospatial Inference Engine empowers a new generation of decision-makers to unlock geospatial insights at global scale

Physics-based models +

Proprietary physics-based climate and weather models enable decision-makers to understand the complex dynamics of a changing physical environment

Spatial datasets +

Thousands of spatial datasets collated from satellite-derived observational data, geospatial mapping and other diverse data inputs, all indexed, processed and harmonized

Tabular datasets +

Our Geospatial Inference Engine fuses a variety of multi-modal datasets into unique data compositions, including data from thousands of tabular datasets, from proprietary, open source and third-party data providers and platforms

Financial data models +

From in-house proprietary modeling techniques to industry standard practices, financial modeling processes and their internal logic can be integrated within our multimodal data processing stack

Internal user data +

Each decision-maker using Sust Global's technology brings their own models and insights, ranging from an API-integrated internal data-lake to disparate document folders, our technology set is able to seamlessly ingest, index and harmonize a variety of your data, and transform it into insights


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Instant insights with Climate Explorer

Quick set up and instant access to essential insights Climate Explorer™ is our web-based geospatial analytic platform. Upload your assets via the intuitive dashboard and generate inferential insights across properties, land parcels, and portfolios. 

Instant geospatial risk insights

Validated geospatial analytics instantly accessible via an easy to use web dashboard.

Six physics-based hazard models across three climate scenarios

Data covering wildfire, floods, cyclones, water stress, drought and sea level rise across multiple global warming scenarios on an annual basis to 2100.

Global coverage at the asset-level

Zoom in and understand risks to specific assets, infrastructure and networks, anywhere on earth.

Quantified financial metrics

Interpretable insights in the form of clear financial loss modeling, value-at-risk projections, and business interruption insights.


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Integrations powering native geospatial workflows directly into your existing products & processes

Derive, transform, and analyze data across thousands of assets and millions of acres of land. Our frictionless data integrations can be provided via direct API, or via our extensive network of third-party data suppliers.

Easy-to-use RESTful APIs

Developer friendly APIs enable geo analytics to be integrated directly into your processes, products and services.

Quickstart guides and documentation

Easily build and scale geo analytics and applications using our developer center documentation, data tutorials and quickstart guides.

Secure APIs for exploration and scale

We enable user accounts for development and application prototypes and service accounts for processing, indexing and serving large portfolios of tangible assets.

Third-party data marketplaces

Connect with our data across a range of marketplaces and data services to quickly explore and prototype applications using our data.


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Integrations carbon credit risk analysis

Learn how Sust Global’s geo analytics can inform carbon offset project site selection and the due diligence process for project funders. Access risk datasets for forest and blue carbon projects, with our AI-enhanced risk models.

Comprehensive project analytics

Explore historic wildfire exposure across 190+ forest carbon projects.

Analyze future risks

Forward-looking wildfire risk exposure across 190+ projects under multiple IPCC climate scenarios.

Wildfire risk benchmarking

Assess your forest carbon projects from the reference dataset of forest carbon projects that our model has already analyzed. 

Project- and carbon pool-level scores

Risk ratings using forest carbon non-permanence assessment methodologies, backed by our advanced predictive analytics.

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