Capital Markets & Investment › Investment Management › ESG Data & Analytics

SESAMm

AI-driven ESG controversy and reputational risk data on public and private companies for investors, banks and insurers.

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Overview

SESAMm applies language models to large volumes of web content to detect ESG controversies and reputational risks affecting public and private companies and infrastructure projects. Private equity firms, asset managers, commercial banks and insurers use it for due diligence, portfolio monitoring, counterparty screening and underwriting.

Risks are mapped to frameworks including SFDR, CSRD and the UN Global Compact, with source traceability and audit trails for each signal. Clients receive the data through dashboards, daily email alerts, APIs and flat-file exports, and AI agents can screen portfolios against exclusion lists and generate reports, including for secondaries transactions.

Key Features

+ ESG controversy detection
+ Reputational risk monitoring
+ Exclusion and norms screening
+ Portfolio risk scoring

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