This timely solution is intended to comply with the upcoming Pillar 3 disclosures on environmental, social, and governance (ESG) risks from the European Banking Authority, which is scheduled to go into effect in early 2025, and improve the capacity of financial institutions to monitor the risk exposures of their physical assets.

QuantCube has established the capacity to examine a wide range of alternative data sources, including satellite and geolocation data, by utilizing powerful computer vision and big data analytics. Through the tracking of both direct and indirect ownership of over 1 million assets across over 10,000 worldwide corporations, this sophisticated technique offers comprehensive visibility into the physical asset portfolios of businesses. For organizations looking to evaluate and closely monitor the ESG risk exposure of their investment portfolios, the database is essential.

"Users can access precise data on the location of companies' physical assets with the recently introduced Asset Mapping solution," stated Alice Froidevaux, Director of Product Development and CFA ESG at QuantCube Technology. Additionally, the database offers a clear knowledge of ownership structures by thoroughly analyzing both listed and non-listed businesses. The Asset Mapping database greatly improves the capacity to track portfolio risk exposure when combined with detailed insights from geolocation and satellite imagery, especially when viewed from a macroeconomic and ESG standpoint.

QuantCube's Asset Mapping database covers eleven key industries, such as mining and metals, utilities, oil and gas, automotive, and more. It does this by standardizing and curating different kinds of unstructured and raw data related to business assets using graph theory and natural language processing (NLP). The end product is an accurate and thorough dataset that guarantees correctness in the location of assets, ownership information, and associated activities.

Furthermore, the database provides a thorough three-dimensional representation of buildings, including exact geolocation along with measurements like height and surface area. Investors and asset owners may evaluate the risks that extreme weather occurrences like floods, wildfires, or droughts could pose to their holdings thanks to this feature. QuantCube ensures that its evaluations are dependable and comparable across various assets and businesses by utilizing physical risk models at the asset level and collecting data at the firm level.