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
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Private company data Ability to extract structured and unstructured
repository documents to be made available in machine readable
form
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Machine learning optimiser Analyse portfolios optimised for ESG risk
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Speed of execution Implementation typically within 30 days
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ESG domain expertise Access to Insig's ESG expert resources
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Cloud infrastructure Highly scalable in terms of processing power
and storage
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