To reduce processing times associated with geospatial workflows through the creation of tools using machine learning to automate Light Detection And Ranging classification and power line modelling.

To offer utilities a power line corridor vegetation modelling service using LiDAR-derived datasets to minimise risk of power outages and bush or forest fires.

To develop and introduce modelling using electromechanical, geospatial and meteorological data to underpin the development of a web-based risk assessment tool for electrical transmission networks in the UK and overseas.