Overview of the solution
Clarity AI has developed its ESG Risk scores to address the industry challenges around ESG data availability, accuracy, and comparability. We offer a transparent and customizable tool that combines more than 100 data sources to provide the most complete reported dataset, uses machine learning models to estimate missing data, and performs reliability checks to ensure the accuracy of the data.
Customization options: Clarity AI allows clients to personalize some of the criteria underlying the calculation of ESG Risk scores for companies through custom scoring profiles. They can decide what sustainability issues they want to consider, their materiality, and the methodology to fill in missing data.Clients can choose to compare against all companies or against those in the same sub-industry (including 169 sub-industries based on the GICS-4 classification).
Industry-consensus scores: Leverages common score-building methodologies, combined with sustainability issues materiality as defined by the Sustainability Account Standards Board (SASB) and other industry references.
Not a black box: Full transparency for every metric down to the report source, estimation model or news article.
The dataset includes:
Main use cases
Analyze ESG performance at issuer and portfolio level
Benchmark at issuer and portfolio level against industry peers
Report on ESG performance
Implement sustainability policies
Delivery available through
API into third-party platforms