ML-GeoSAT allows underwriters to measure the direct and indirect impacts of physical and transition risks on the entire value chain of a counterparty to determine exposure or vulnerability risks/levels.
MLGeoSAT is suited for direct counterparty investments like extractive and mining companies (involved in direct extraction processes like cobalt and other mineral resources mining) and indirect counterparties like battery and electric vehicle manufacturers with transcontinental supply chain networks.
ML-GeoSAT conceptualises nature as capital stock and assesses how natural degradation negatively impacts an organisation’s financial position.
Key features of ML-GeoSAT
Pathway analysis
ML-GeoSAT performs supply-chain pathway analysis for physical risk calculations.
Climate risk analysis
ML-GeoSAT uses a knowledge-based framework for climate risk analysis and assessments.Â
Intutive visualisation
ML-GeoSAT provides an intuitive visualisation platform for the pathway and climate risks.