We are proud our track record contributing to data and innovation projects, from ideas and prototyping to leading end-to-end execution. Our colleagues leverage the learning and experience from internationally leading institutions such as Imperial College London and the University of Manchester. As guided by the Energy System Strategy and Action Plan, we are delighted to offer our expertise in electricity substation digitalisation based on IEC61859 wide area monitoring, and in artificial intelligence based cyber security to contribute to future energy systems.

1. We have several years experience working on Data Science and Machine Learning projects at every part of the data stack, from data cleaning and data engineering to data analytics and machine learning. This experience has enabled us to deliver systems for financial hedging and FX management, as well as machine learning projects such as real-time credit scoring, fraud detection models, churn (usage) models, deep learning prototyping, agent-based reinforcement learning, and recommender systems.

2. Our colleagues at Manchester University have extensive experience in supporting the UK energy and power sector on data and digitlisation projects. Their involvement in the network innovation area has enabled us to assist with delivering a number of successful digitalisation projects including VSATT, FITNESS, and CREST.