QuantCube Technology launches Asset Mapping database for risk monitoring and ESG compliance
Press Release
QuantCube’s solution for physical asset risk and ESG analytics
Solution supports financial institutions in analysing physical risk exposures at the asset level and in complying with the requirements of European Banking Authority’s Pillar 3 disclosures on ESG risk
Paris, 24 September 2024 – Alternative data analytics specialist QuantCube Technology today announced its Asset Mapping database, designed to fill the data gap facing banks, insurance companies, asset managers and corporates as they seek to monitor the risk exposure of the physical assets they own and invest in. The solution enables firms to understand the exposure of their investment portfolios to environmental, social and governance (ESG) risks at a granular level and to address the European Banking Authority’s Pillar 3 disclosures on ESG risk – due to be reported in early 2025.
QuantCube uses advanced computer vision and big data analytics to mine alternative data sources including satellite and geolocation data, providing detailed insights into companies' physical asset portfolios. The database covers both direct and indirect asset ownership, tracking more than 1 million physical assets owned by more than 10,000 companies globally. It enables financial institutions to understand the importance of each asset in an organisation’s portfolio, including where its production facilities are based, and the physical risk of its assets being impacted by climate and environmental events.
Alice Froidevaux, Director of Product Development and CFA ESG at QuantCube Technology, commented: “With the newly introduced Asset Mapping solution, users can access precise data on the location of companies' physical assets. The database also provides a clear understanding of ownership structures through comprehensive analysis of both listed and non-listed companies. Combined with granular insights from satellite imagery and geolocation analysis, the Asset Mapping database significantly enhances the ability to monitor portfolio risk exposure, particularly from a macroeconomic and ESG perspective.”
The QuantCube Asset Mapping database covers companies globally across 11 key sectors: metals & mining, oil & gas, utilities, automotive, construction materials, real estate, chemicals, transportation services, telecommunications, food & beverage, and electronics. Using Natural Language Processing (NLP) and robust graph theory to standardize and curate different kinds of raw and unstructured data related to companies and their assets, QuantCube ensures data accuracy and completeness, providing precise information on asset location, ownership structure and related activity.
The database provides a detailed 3D view of buildings, including height and surface area, and a precise geolocation that can be cross-referenced with meteorological data. As a result, asset owners and investors can evaluate the risk to each building in relation to extreme climate events such as droughts, floods or wildfires. By applying physical risk models at the asset level and aggregating the results at the firm level, QuantCube’s methodology ensures that the results are comparable between assets and between firms.
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About QuantCube Technology
QuantCube Technology uses artificial intelligence and big data analytics to deliver real-time macro-economic insights. The firm operates one of the largest alternative data lakes in the world, processing more than 15 billion data end points. Sources encompass news, social media, satellite data, professional networks and consumer reviews, as well as international trade, shipping, real-estate, hospitality and telecoms data.
QuantCube’s macro nowcasting indicators, on variables including economic growth, inflation, employment and international trade, correlate highly with official data and significantly beat the consensus. Financial institutions using QuantCube data benefit from real-time insight, often ahead of official numbers, which they can use to inform their investment strategies.
Headquartered in Paris, QuantCube employs a diverse international team of data scientists with expertise in multilingual NLP, deep learning and machine learning techniques. The company’s shareholders include Moody’s and Strategic Development Fund (SDF), the investment arm of UAE’s Tawazun Council. QuantCube’s R&D in computer vision has been partially funded by the European Space Agency (ESA) and French government space agency CNES.
