Utilising cutting-edge algorithms, our focus has been to extract and build hard-to-obtain datasets on private companies including Relational Networks that support the identification of corporate group structures and hidden director networks. Our core data asset is a connected dataset of all UK companies and company officers, linked by their appointments, comprising approximately 18m people, 9m companies, 28m appointments and 100m total connections. This dataset is kept current by automatically applying around 35,000 record updates a day. We have combined this technology with our Carbon Emissions Variable (CEV) which uses public and proprietary data and powerful technology to create an emissions profile for all active and registered UK companies over one year old and mapped corporate emissions characteristics to the directors and officers.

Covering seven toxic gas types: Carbon dioxide (CO2), Nirous Oxide (NO2), Hydroflurocarbon (HFC), Sulphur Hexafluoride (SF6), Nitrogen Trifluoride (NF3), Methane (CF4), Perflurocarbon (PFC) and by overall emissions summary, individual directors can now be identified by their corporate holdings and their overall emissions profile.

The output is calculated through a combination of public and proprietary data points and the file contains key data points such as:

• Director Name
• Director Emission’s profile
• Linked Company Name(s)
• Last known Company address
• Linked Company Number(s)
• Linked Incorporation dates
• Current status
• Emissions

Emissions attributes are broken into one of seven tags:

• Ultra-high emitter
• High emitter
• Medium-high emitter
• Medium emitter
• Medium-low emitter
• Low emitter
• Ultra-Low emitter

Further information is available upon request and can be combined with all other data points produced and held by mnAi.