Sust Global

Pick Sust Global if you manage a large portfolio of physical assets and need high-resolution climate risk projections for regulatory reporting (e.g., TCFD) or investment decisions. It excels at turning satellite data and climate models into actionable intelligence at scale (1M+ assets). Pass if you are a small firm with limited budget or need only basic climate risk screening — the platform is clearly enterprise-focused and may be overkill for simpler use cases. Compared to competitors like Jupiter Intelligence or Climate Engine, Sust Global differentiates with its geospatial AI engine that handles multimodal data harmonization and custom analytics. However, this also means more complexity and higher cost. Real-world caveats: The page lacks concrete pricing details, so expect a quote process. The acquisition by ISS Stoxx may impact product direction. Also, the platform's reliance on proprietary techniques means less transparency compared to open-source alternatives.

Sust Global is a geospatial AI platform built for decision-makers on the data frontier. It transforms disparate multimodal datasets — from satellite imagery to climate models — into actionable intelligence for investors, asset managers, and sustainability professionals. The platform enables rapid assessment of physical climate risks across global portfolios with granular, asset-level insights. Key features include multimodal data collection, indexing, and harmonization; proprietary geospatial techniques for AI-powered inference; custom analytics or API-based data processes; scalable processing pipeline for 1M+ global assets; and intuitive analytics dashboards for rapid upload, processing, and exploration of geospatial data. Physics-based models are transformed into actionable intelligence, providing a global view of asset- and portfolio-level risks. Sust Global is trusted by organizations like ICE Climate, Blue Forest, and Bridge House, and has been acquired by ISS Stoxx. Compared to traditional climate risk modeling, Sust Global offers higher-resolution, AI-driven projections that cover multiple climate scenarios (e.g., 80 years into the future) and perils such as wildfire, heatwaves, drought, and sea level rise.