TIDMINSG

Insig AI Plc

15 September 2021

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                                      Via SEC Newgate 
 Steve Cracknell, CEO 
 
  Zeus Capital Limited (Nominated Adviser 
  & Broker) 
  David Foreman / James Hornigold                  +44 (0) 203 829 5000 
SEC Newgate (Financial PR)                       +44 (0) 7540 106 366 
 Robin Tozer / Tom Carnegie / Richard Bicknell    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         Ability to extract structured and unstructured 
  repository                   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 
                             ------------------------------------------------------ 
 

About Reach announcements

This is a Reach announcement. Reach is an investor communication service aimed at assisting listed and unlisted (including AIM quoted) companies to distribute non-regulatory news releases into the public domain. Information required to be notified under the AIM Rules for Companies, Market Abuse Regulation or other regulation would be disseminated as an RNS regulatory announcement and not on Reach.

This information is provided by Reach, the non-regulatory press release distribution service of RNS, part of the London Stock Exchange. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact rns@lseg.com or visit www.rns.com.

Reach is a non-regulatory news service. By using this service an issuer is confirming that the information contained within this announcement is of a non-regulatory nature. Reach announcements are identified with an orange label and the word "Reach" in the source column of the News Explorer pages of London Stock Exchange's website so that they are distinguished from the RNS UK regulatory service. Other vendors subscribing for Reach press releases may use a different method to distinguish Reach announcements from UK regulatory news.

RNS may use your IP address to confirm compliance with the terms and conditions, to analyse how you engage with the information contained in this communication, and to share such analysis on an anonymised basis with others as part of our commercial services. For further information about how RNS and the London Stock Exchange use the personal data you provide us, please see our Privacy Policy.

END

NRAUSRURARUKAUR

(END) Dow Jones Newswires

September 15, 2021 02:00 ET (06:00 GMT)

Insig Ai (LSE:INSG)
Gráfica de Acción Histórica
De Feb 2024 a Mar 2024 Haga Click aquí para más Gráficas Insig Ai.
Insig Ai (LSE:INSG)
Gráfica de Acción Histórica
De Mar 2023 a Mar 2024 Haga Click aquí para más Gráficas Insig Ai.