digiLab Solutions

digiLab Solutions was founded in 2021 in Exeter by Professor Tim Dodwell, a Turing AI Fellow and visiting professor at MIT and Heidelberg, and Anhad Sandhu, with a conviction that the most important applications of AI are those where the stakes of getting decisions wrong are highest. Safety-critical industries — nuclear energy, water management, aerospace, advanced manufacturing — face complex decisions that require not just prediction, but an honest quantification of uncertainty. Standard AI systems, which often produce confident outputs even from incomplete or noisy data, are poorly suited to these environments. digiLab was built to solve this with a different technical foundation.

The company's flagship platform, the Uncertainty Engine, provides trustworthy and explainable AI for organisations operating in high-stakes, data-constrained environments. Built on pioneering work in Bayesian machine learning and uncertainty quantification, the platform enables decision-makers to run predictions, recommendations, and optimisation tasks while understanding the confidence level of each output. It integrates with existing workflows and has been applied across domains including fusion energy research, water network monitoring, cyber-security, and environmental conservation — including a partnership with King Abdullah University of Science and Technology to develop an AI digital twin for coral restoration in the Red Sea.

digiLab has attracted investment from the UK Innovation and Science Seed Fund, East Innovate, East X Ventures, and ICURe, among others, and has advisory relationships with Innovate UK and the UK Atomic Energy Authority. The company raised £2 million in 2025 to expand its Uncertainty Engine platform globally and deepen its presence in safety-critical sectors.