The exclusivity of the emissions data

Our proprietary and unique emissions data was developed in-house by our data science team with input from leading academics from Warwick University. Using a combination of public and proprietary data, we have created an emissions engine which assigns an emissions value (ie: Ultra-high, High etc) to all UK companies regardless of size.

The lack of data, insights and analysis of company-based emissions is a challenge for corporates and investors to hit Net Zero. mnAI’s data and technology aims to help clients manage risk, increase operational efficiency and deliver net zero pathways through measurement, analysis, management and target setting.

Current carbon solutions focus on the management of emissions accrued by a company through daily activity (scope 1 and 2); rather than emissions incurred through a direct/ in-direct suppliers (scope 3). Our solution allows for scope 3 emissions to be managed quickly and efficiently, providing granular analysis on a company’s supply chain – something that hasn’t previously been possible.

How can mnAi help with PCAF reporting?

PCAF developed the Global GHG Accounting and Reporting Standard for the Financial Industry (the Standard). This Standard has been reviewed by the GHG Protocol and conforms with the requirements set forth in the Corporate Value Chain (Scope 3) Accounting and Reporting Standard for category 15 investment activities.

The Standard provides detailed methodological guidance for asset classes. Widely tested by banks and investors, these methods assist in the measurement and disclosure of GHG emissions associated with six asset classes:

• Listed equity and corporate bonds
• Business loans and unlisted equity
• Project finance
• Commercial real-estate
• Mortgages
• Motor Vehicle Loans

PCAF stipulate limited data is often the main challenge in calculating financed emissions; however, data limitations should not deter financial institutions from starting their GHG accounting journeys. Beginning with estimated or proxy data can help identify carbon-intensive hotspots in lending and investment portfolios.

The mnAi data set covers:

• All active UK companies over one year old
• All UK sectors as defined by SIC 2007

How would the solution work?

• The only data mnAi would require to start the process would be the company name and/or company number
• Real-time data fed through API to create a new, proprietary data-lake
• Data would be accessed through:
  • Dedicated API built by mnAi,
  • Amazon’s Data Exchange (ADX),
  • Snowflake,
  •  NayaOne Sandbox

How long would the solution take to incept?

This would depend on the solution chosen – further information on all options is available on request.

Additional benefits:

The data we hold both complements and works alongside PCAF and Global GHG Accounting and Reporting Standards, effectively giving more accurate data and acting as an early warning system. This helps the organisation as well as the relationship and business development managers to understand the current customers’ GHG emissions. This would allow them to effectively manage risk, increase operational efficiency and deliver net zero pathways through measurement, analysis, management, and target setting.