Last checked at 15 Sep 2021 07:00
15 September 2021 - RNS REACH
Insig AI plc
("Insig AI" or the "Company")
Launch of Insig ESG
Insig ESG will enable an evidence-driven approach to ESG investment decision-making
Insig AI, the technology company that provides machine learning solutions for asset managers, is delighted to announce the launch of Insig ESG.
Insig ESG is designed to improve transparent and efficient decision-making by investors looking to develop proprietary and best practice strategies in ESG. Insig ESG combines machine learning with the analytical tools to surface, visualise and compare ESG disclosures across a vast library of company published reports, including 10-Ks, annual reports, earnings call transcripts and ESG/sustainability reports.
The Company has developed 15 individual machine learning models to find evidence of disclosure across a comprehensive range of corporate sustainability issues. These are built on Insig AI's ESG framework that maps directly to standards such as SASB, TCFD, GRI, and the structures used by ratings agencies such as S&P and MSCI.
Combining access to public and private company data, with speed of analysis across different years, documents, and industry benchmarking with the ability to drill down to evidence at sentence level, Insig ESG is a flexible and powerful solution for investors.
Diana Rose, Director of ESG, Insig AI, commented: "Insig ESG combines the best machine learning technology with the highest standards of ESG. We're not aware of any other provider that now offers this capability."
Steve Cracknell, Chief Executive, Insig AI, added: "What our technology team and Diana have delivered provides a material step up in terms of targeting, validating, and influencing ESG performance at companies. Based on recent discussions with several asset managers, I'm confident of the benefits to prospective clients from Insig ESG."
On Thursday 23 September 2021 at 11am (BST), Insig AI will be hosting an online demonstration of Insig ESG. To pre-register, please contact: diana@insg.ai
For further information, please visit www.insg.ai, or contact:
Insig AI plc Steve Cracknell, CEO | Via SEC Newgate |
Zeus Capital Limited (Nominated Adviser & Broker) David Foreman / James Hornigold
|
+44 (0) 203 829 5000 |
SEC Newgate (Financial PR) Robin Tozer / Tom Carnegie / Richard Bicknell | +44 (0) 7540 106 366 insigai@secnewgate.co.uk |
About Insig ESG
The problem faced by investors and analysts is that ESG ratings only go some of the way towards understanding how well a company is managing its ESG risk and impact. Coverage is limited to larger public companies; information goes out of date quickly and valuable detail can be lost as data is aggregated.
The Insig ESG product framework provides:
1. Transparency and ability to drill down to a sentence or metric (show all workings).
2. Speed of analysis across multiple document types, at any volume.
3. Ability to ingest and analyse private and public company data.
Process
- Source public and private company published documents
- Transform source documents into machine readable text
- Store and tag the source document and the extracted text in a database
- Score each document across 15 ESG issues that map to SASB and other frameworks
- Visualise company ESG results at a sector, industry and company level
- Enable drill down to scored sentences in a document as interrogation of evidence of disclosure
Scoring Methodology
- 15 natural language processing (NLP) classifiers that map to ESG frameworks including SASB, MSCI, S&P, GRI, TCFD
- Our model is based on BERT (Bidirectional Encoder Representations from Transformers), a state-of-art machine learning technique for NLP pre-training, developed by Google in 2018
Key features
Feature | Business Benefit |
NLP based ESG scores | ESG scoring mapped directly to the SASB ESG framework |
Private company data repository | Ability to extract structured and unstructured documents to be made available in machine readable form |
Machine learning optimiser | Analyse portfolios optimised for ESG risk |
Speed of execution | Implementation typically within 30 days |
ESG domain expertise | Access to Insig's ESG expert resources |
Cloud infrastructure | Highly scalable in terms of processing power and storage |
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