Classify sustainable products, with confidence
Amid greenwashing concerns, ESG fund management faces heightened scrutiny. Data lineage and transparency on calculation methodoligies is crucial for accurate categorization of companies within funds based on sustainability criteria.
Automate sustainable due diligence
Covering more than 71,000 companies, Orbit ESG allows clients to streamline and automate the creation of ESG data sets and scorecards according to in-house methodologies, industry weightings and scoring systems. Full audit trail and seamless transparency can trace every data point back to an official source. Create custom ESG indicators using accessible data and methods. Scale investment research for broader company analysis, enhancing due diligence, performance, and regulatory compliance in fund management.
Navigating Investment Frontiers
Create custom ESG indicators using Orbit's AI models and depth of official company data. Scale investment research for broader company analysis, enhancing due diligence, performance, and regulatory compliance in fund management.
Automated ESG Compliance Suite
Harness Largel Language Models (LLM) to cost effectively generate accurate ESG data sets based on specific criteria, with full data lineage back to official sources
Advanced Data Integration and Real-time Analysis
Automatically generate highly accurate and specific ESG scorecards and reports, as well as electronic audit trails to demonstrate best practice and transparency in the due diligence process.
Features & Benefits
Increase confidence and transparency around ESG research methodologies
Generate ESG scorecards, indicators and data sets according to your own specific ESG methodology and industry weightings
Highly accurate research through integration of ChatGPT with Orbit’s reliable data pool
Reduce time-consuming manual efforts typically involved with bespoke ESG research and performing detailed due diligence via optimised AI models
Ability to instantly analyse the ESG credentials of individual companies on a granular level
Incorporate innumerable alternative data sources (e.g. social media & live news feeds) to enrich company analysis
Generate accurate forward looking data sets to underpin stewardship activities
