To address climate and regulatory challenges for Swiss Pension and Real Estate funds, this project aims to create transparent, technology- and data-driven methods for evaluating Swiss Real Estate assets in terms of obsolescence, carbon emissions (current and forward-looking), and energy efficiency using large data sets, geospatial data, and building imagery applied to machine learning techniques and expert systems. The indicators will be systematically translated into an ESG real estate rating for client usage in strategic decision-making, retrofit-planning measures, disclosures, and comparability with liquid investments such as stocks and bonds.