SESAMm combines large language models with ESG-specific algorithms to process unstructured data across 100+ languages, 4 million sources, and millions of companies and infrastructure projects. ESG risks are mapped to key regulatory and normative frameworks, including SFDR, CSRD, and the UN Global Compact, enabling consistent, compliant risk assessment. Built for scale, our infrastructure supports real-time ESG analysis globally, across portfolios, supply chains, and deal pipelines. Wondering how that compares? See
how to choose the right ESG data provider.