RNS Number : 6970U
Insig AI Plc
02 July 2024
 

REACH

 

Insig AI plc

("Insig AI" or the "Company")

 

Launch of Transparency and Disclosure Global Index


Insig AI, the data science and machine learning business, is pleased to announce that it has today released its global version of the Transparency and Disclosure Index (TDI).  Covering over 2,300 of the world's largest listed companies, it takes stock of which documents companies are publishing and benchmarks their levels of governance and sustainability disclosure.

With the advancements in benchmarking and scrutiny, regulators and investors are adding new powers to their radar that mean companies can no longer fly below it. Agnostic to 'green' vs 'dirty' sectors, companies are recognised for making certain information available for accountability and trust and showing readiness for emerging regulation.

The platform uses dynamic statistical benchmarking against the global universe and sector peers.  The index is live and responsive; as soon as a company is added, the ranking updates.

The TDI's transparent scoring highlights strengths and gaps in reporting, with granular and actionable insights.  It signposts to best practice examples and links directly to the evidence-base of Insig AI's database of c200,000 machine-readable corporate reports. This benchmarking ability, extensive database and machine-learning and AI-assisted research tools make the TDI Global a powerful and highly flexible asset for corporates, regulators, consultants and analysts.

How it works:

The TDI is scored on six criteria, one of which is whether certain key documents have been published on the website.  These include reports, policies or statements on pay gap/diversity, modern slavery/human rights and business ethics/conduct.

Scored out of 100, a TDI result above 70 indicates a company is close to meeting stakeholders' corporate reporting expectations. A score below 50 is evidence of significant and multiple gaps in disclosure, lagging against expectations driven by reporting standards and the benchmark.

Distribution of TDI results for the world's largest companies, with 59% failing to meet expectations and 21% lagging significantly:

 

 

The results reveal that 59% of mega and large-cap companies fall below the 70 mark and 21% are lagging significantly. These are companies with over $200 billion and $10 billion market cap respectively. A breakdown is provided in Appendix 1.

 

Diana Rose, Head of ESG Research at Insig AI commented: "With this year's exponential advancements in open-source AI, regulators and investors are now armed with the tools for benchmarking and scrutiny that means companies can no longer fly below the radar on transparency, disclosure, accountability and greenwashing. This goes well beyond sustainability reporting which is finally being regulated."

 

 

Richard Bernstein, Chief Executive of Insig AI commented: "Corporates, regulators, stakeholders and market participants all need evidence-based criteria for assessing the enormous array of non-financial disclosures. A generation ago, the same applied to financial reporting and accounting standards. Now the time has come to use the same rigour to non-financial disclosures. We have spent the last three years preparing for this time. Our Global TDI empowers users with evidence-based access to a rich machine learning database and generative AI toolset covering the universe of non-financial disclosures and reporting."

 

Access to the Global TDI is available at: https://tdi-demo.insg.ai/

 

Appendix 1

 

The TDI's stocktake shows that more than one in five of the overall TDI universe have failed to publish a single one of these documents within the last three years.

 

Breakdown of overall TDI Global results by 6 scoring components.  22% of companies have failed to publish key documents on pay gap/diversity, human rights and business ethics conduct within the last three years:

For further information, please visit www.insg.ai or contact:

 

 

Insig AI plc

Richard Bernstein, CEO

 


richard.bernstein@insg.ai

 

 



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