ESG Materiality

My ESG research is funded by Boston University research Ignition grant (2020-21). ESGAnalytics.Ai uses big data analytics and AI to map ESG materiality with smart risk analytics. ESGAnalytics.Ai Platform featured in The Forrester New WaveTM: Climate Risk Analytics, Q3 2020. Our positioning in advanced analytics ranked the highest in the report.

ESGAnalytics.Ai applies cutting-edge data analysis and machine learning approaches to help solve ESG data metrics, risk profiling, portfolio optimization based on ESG themes. We collect both structured and unstructured data (social media) to go beyond simple metrics in our ESG analytics suite for easy access via our SaaS platform. We eliminate data challenges and integrate data that reside in many data silos into one platform and apply AI algorithms to derive predictive business insights in the context of short-term and long-term climate, employment, economic and social, and other trends. Our unique “big data” approach results in improved risk
metrics, quantification of fuzzy ESG themes, and maintaining a competitive edge. We avoid greenwashing ESG. Our data products are backed by robust scientific R&D.

Check out our reports here.

ESG Market Brief – #MeToo & Corporate SH –

2021 ESG Market Brief – Biodiversity – 2021 ESG-ANALYTICS-Square-1