Sectors
Empowering you with AI-Driven Decision Intelligence
At digiLab, we empower organisations to tackle their most complex challenges through machine learning and uncertainty quantification. From advancing clean energy through fusion, fission, and renewables, to strengthening cyber resilience and reducing waste in the water sector, our AI-driven platform, The Uncertainty Engine, unlocks new efficiencies, accelerates research, and improves decision-making. By transforming data into actionable insights, we enable governments and organisations in safety-critical or highly regulated industries to innovate faster, operate more sustainably, and build smarter solutions for a cleaner, more resilient future.
Sectors we specialise in:
Fusion
Empowering organisations to push beyond current limitations and move closer to achieving safe, sustainable, and scalable fusion power.
Fission
Enabling the nuclear fission industry to enhance resilience, efficiency, and sustainability in the delivery of safe, low-carbon energy.
Renewable energy & grids
Driving the digital transformation of renewables, making clean energy more efficient and accessible worldwide.
Cyber security & intelligence
Providing the cybersecurity and intelligence sectors with AI-driven solutions to enhance critical infrastructure protection, improve threat detection, and optimise decision-making against sophisticated threats.
Water
Supporting utilities, researchers, and policymakers deliver global water safety, sustainability, waste reduction, and climate resilience.
Environment & Sustainability
Leveraging machine learning for environmental protection and sustainability, helping organisations model climate impacts, monitor risks, and drive net-zero strategies.
“We’re working with digiLab to model plasma turbulence by building fast, surrogate models of complex simulations. Their platform is intuitive and powerful - I just drop in our data and it handles the rest. Even without a data science background, I can explore advanced physics and accelerate fusion research confidently and with ease.”
William Hornsby, Computational Physicist, UKAEA
“digiLab’s innovative approach to using the data from cutting-edge sensors enabled us to discover how Machine Learning can gain us energy and cost savings, whilst also driving efficiency and water quality.”
Nicholas Dade, Principal Scientist, South West Water
“A lot of SMEs are specialising in AI and data science, but digiLab is the only one we know of built around state-of-the-art methods of uncertainty quantification.”
Dr Rob Akers, Director of Computing Programmes, UKAEA
