Description
ESG Analytics harnesses the power of AI to deliver real-time ESG scores and ratings for companies worldwide. The platform is designed to help asset managers, asset owners, wealth managers, and consultants uncover ESG risks and opportunities, enabling more informed investment decisions. By leveraging a proprietary ESG AI Engine, ESG Analytics quantifies ESG information from unstructured text, providing a third-party perspective on company ESG performance.
The AI engine aggregates over 100,000 sources, including news, PR, and opinions, processing millions of data points monthly to analyze hundreds of thousands of signals. This analysis generates four key scores across 26 ESG categories and 16 Sustainable Development Goals (SDGs), with over five years of historical data available for more than 230,000 global companies. The engine utilizes Natural Language Processing (NLP) to identify ESG-relevant text and companies, and employs sentiment analysis models to create an 'ESG Pulse' score ranging from -1 (negative) to +1 (positive).
Use cases for ESG Analytics span various financial roles. Asset managers can utilize it for idea generation, portfolio construction, composite scoring, and portfolio analysis, alerts, and reporting. Asset owners benefit from manager selection and monitoring, investor inquiry management, and portfolio analysis. Quantitative managers can incorporate ESG risk premia and create proprietary ESG scores, while sell-side professionals can leverage it for due diligence, research creation, and portfolio analysis.
The platform offers both a web portal and an API for programmatic usage. The web portal provides real-time ESG scores for over 15,000 companies, portfolio creation, and industry-level insights. The API offers similar real-time data and insights for integration into existing workflows. ESG Analytics is committed to providing actionable insights that complement traditional research processes, offering an 'outside-in' view of company ESG performance.
ESG Analytics's Core Features
Real-time ESG scores and ratings
AI-powered ESG analysis
Proprietary ESG AI Engine
Natural Language Processing (NLP) for text analysis
ESG Pulse sentiment analysis score
Scores for 26 ESG categories
Scores for 16 SDGs
5+ years of historical data
Data for over 230,000 global companies
Web platform access
API access for programmatic usage
Portfolio and feeds feature
Industry-level insights
How to use ESG Analytics?
Explore company ESG sentiment and activity using the web platform or API.
Aggregate data from over 100,000 sources.
Extract ESG-relevant data points and signals.
Analyze signals to generate ESG scores and the ESG Pulse.
Utilize scores for portfolio construction, risk management, and due diligence.
Integrate API data into existing investment workflows.
Monitor material ESG issues through portfolios and feeds.
ESG Analytics's Use Cases
- Idea Generation
- Portfolio Construction
- Risk Management
- Due Diligence
- Manager Selection
- Proprietary Score Creation
- Investor Inquiry Management
- ESG Risk Premia
