RegNet: Privacy-preserving data access network for regulated sectors

The regulated sectors have a proven appetite for data collaboration yet are notoriously against sharing of the data they own. This is particularly amplified when their data and data products are needed widely accessible (otherwise confined in isolated silos) in a trusted fashion for facilitating enhanced AI capacities in their operation. As such, the RegNet platform offered an innovative solution to addresses data-privacy challenges while allowing for collaboration of their data.

This was a one-year UKRI Innovate UK funded industry research project completed in early 2021 and led by RegulAItion Ltd., partnering with University College London and Loughborough University London (Institute for Digital Technologies). The IDT research within this bigger picture focused on studying the feasibility of realising a data abstraction layer framework that would facilitate a better design of business analytics for distributed ledger technologies based systems and the decentralised applications running on them. The purpose of this work was thus to establish a higher level of abstraction that improved the auditability and intuitiveness of distributed ledger records and enabled further development of future user interfaces including analytics and visualisation tools.

Further info on this work is available here: https://arxiv.org/abs/2102.10133