AI-powered ESG news service launches
Updated: Jun 19
Data-led ESG platform GaiaLens has enhanced its existing news service by integrating AI capabilities to help investors measure, evaluate and ‘sentiment-score’ news reports for listed businesses.
GaiaLens MAI interprets and scores unlimited numbers of articles of up to 4,000 words each, in real time. It checks the output against key ESG reporting themes, such as UN Sustainable Development Goals, to assess whether named companies have breached declared ESG performance targets.
GaiaLens MAI is also able to ‘sentiment score’ all relevant ESG news from national business media sources, specialist ESG trade publications and relevant mentions on social media channels, for more than 18,500 public companies.
It can be provided either in the format of a ‘news flow’, where all significant news linked to a company is provided, including articles and third-party influencer tweets; or as an ESG ‘controversies’ feed, which captures all coverage linked to pre-identified, ‘live’ issues.
Gordon Tveito-Duncan, co-founder and chief executive at GaiaLens, commented: “ESG structured data, such as carbon-emissions reports are sparse, unstandardised and static. For some environmental metrics, there is a two-year delay in reporting.
“In the meantime, companies are still generating a lot of unstructured data, including news flow.
“GaiaLens MAI helps investors to accurately interpret what is happening with companies’ ESG performance before it comes through in the ‘hard’ numbers. Processing this news data in real-time allows us to capture the ESG momentum of a given company and chart improvements in its overall ESG score.”
He added: “It also automatically interprets relevant news to a depth that was only previously possible from lots of analysts reading through all relevant news reports. This interpretation supports more accurate sentiment scoring to enable investors to track key ESG-linked news as it emerges, gains momentum and potentially impacts their portfolio holdings, either positively or negatively.”
Read in ESG Clarity here.