Stay ahead of your external risks and opportunities

Our primary use of Artificial Intelligence (AI) is via Natural Language Processing (NLP) techniques, which enable computers to interpret human language. Datamaran processes thousands of corporate reports (annual reports, sustainability reports and SEC filings), regulations and policies, news and social media. Using NLP, it then analyzes a dynamic ontology of ESG issues across these sources to identify key trends. For example, when analyzing corporate reports, Datamaran ranks the level of disclosure on each topic using both qualitative and quantitative measures. This offers a comparable analysis of how much emphasis a company, sector or industry places on each topic, providing a proxy for corporate governance and performance. Ultimately, by automating the interpretation of narrative, our AI engine supports an exponential increase in productivity, accuracy and credibility in your risk and materiality processes.

Datamaran analyzes various publicly available sources that represent different stakeholder views. These include corporate filings and reports, regulatory initiatives, social media, and news. Our team of data scientists and ESG, risk and legal experts curates these sources to ensure robust coverage, scope and quality, both geographically and across different business sectors. The NLP technique analyzes these sources to offer decision-useful insights into issue trends. The user interacts with the data via a user-friendly platform, which offers easy-to-understand visualizations of these trends and access to the raw data. Using a series of filters, e.g. industry, country, and report publication year, our clients can capture relevant insights at a given point and over time. This helps to build a perspective of risks and opportunities from a competitive, regulatory and reputational standpoint.