
digiLab helps governments and organizations make confident decisions on complex, safety-critical engineering problems when data is sparse or uncertain. It provides the Uncertainty Engine, a proprietary machine-learning platform that combines uncertainty quantification and explainable AI, supported by a team of machine learning specialists and data scientists. The company operates as a B2B SaaS provider serving highly regulated sectors such as energy, healthcare, and public-sector use cases, integrating with decision workflows and operational systems. digiLab focuses on delivering auditable, uncertainty-aware model outputs to reduce risk in high-stakes decisions.

digiLab helps governments and organizations make confident decisions on complex, safety-critical engineering problems when data is sparse or uncertain. It provides the Uncertainty Engine, a proprietary machine-learning platform that combines uncertainty quantification and explainable AI, supported by a team of machine learning specialists and data scientists. The company operates as a B2B SaaS provider serving highly regulated sectors such as energy, healthcare, and public-sector use cases, integrating with decision workflows and operational systems. digiLab focuses on delivering auditable, uncertainty-aware model outputs to reduce risk in high-stakes decisions.
Core product: The Uncertainty Engine — uncertainty-aware, explainable ML platform
Markets: Safety-critical sectors (energy, fusion, infrastructure, healthcare, public sector)
Headquarters: Exeter, United Kingdom
Founders: Prof. Tim Dodwell (Co‑Founder & CEO); Dr. Anhad Sandhu (Co‑Founder & GM Saudi)
Founded: 2021
Safety-critical and highly regulated decision-making where model uncertainty must be quantified and explained (e.g., fusion, energy, critical infrastructure, healthcare).
2021
Software Development
3922000
Investors include East X Ventures, Oxford Technology Management, UK Innovation & Science Seed Fund
“East X Ventures; Oxford Technology Management; UK Innovation & Science Seed Fund”
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