Transform operational productivity and create new capabilities at scale with AI
Faculty helps companies realise enduring strategic advantage through better
management of assets, infrastructure, networks and processes. We work with
customers to maximise outcomes for their business, society and the environment.
Through our Intelligent Asset Performance solutions, we help organisations to:
Increase operational productivity
Add new capabilities
Monitor the location, performance and safety of your assets and infrastructure.
Failure prediction & prevention
Forecast faults, avoid downtime and extend asset and infrastructure lifetimes.
Understand and optimise the performance of your assets and infrastructure.
Complex system optimisation
Improve the performance of complex networks or systems of assets.
Meet some of the team
Director, Energy Transition and Environment
Andy is the Commercial Director leading our Energy Transition and Environment work at Faculty. He is focused on how to bring the power of AI solutions to bear in solving our most pressing decarbonisation and sustainability challenges, working with clients across the energy and utility sectors and beyond. Before joining Faculty, Andy worked as a strategic leader at the forefront of energy transition in consulting, government and start-up roles. He studied Philosophy & Economics and Public Policy, both at University College London.
Lead Data Scientist, Energy Transition and Environment
Ares has overseen the development of several projects in the Engineering and Built Environment field, including work on reinforcement learning algorithms to generate designs and end-to-end pipelines that accurately detect, geolocate and measure engineering assets and their surroundings from video footage.
Prior to joining Faculty, Ares completed a PhD thesis in Pure Mathematics from the University of Cambridge, where he also did his undergraduate studies in Mathematics. His doctoral research focused on the mathematics of discrete structures, such as networks, and has been published in leading journals in the field.
Data Scientist, Energy Transition and Environment
In her time at Faculty, Vickie has worked on a diverse range of problems, ranging from building dashboards to improve the efficiency of healthcare appointment scheduling, to price forecasting on an agriculture commodity for a private equity investor.
Before joining Faculty, Vickie was awarded a DPhil from the University of Oxford. She developed a unifying computational framework to understand suboptimal human decisions. She has extensive experience in experimental design, online data collection and data analysis with machine learning techniques and statistical inference.
To find out more about what Faculty can do
for you and your organisation, get in touch.