We engineer proprietary data points which are inputted into our scoring algorithm. These include Board Gender Pay Gap (43%), Ethnic Diversity on the Board (38%), Percentage of Independent Directors on Board (97%), Percentage of Women on the Board (100%), Employee Satisfaction Rating (51%)
Taking a tech-first, data-driven approach allowed us to address many of the issues of existing ESG ratings which are often unexplainable, subjective and infrequently updated. At its core, GaiaLens is a data-driven product generating lots of unique proprietary ESG data such as ESG Scores, Proprietary ESG Factors and ESG News data.