Built on deep engineering expertise.

AQ was founded to extend the rigour of engineering assurance to computational tools - from simulations to predictive models and AI.


Explainable methods, not just black boxes.

As our physical world becomes increasingly instrumented, computational statistics and AI have the potential to improve design, operation, monitoring, and decision-making across engineering disciplines.

But that potential is only realised safely when models are properly verified, validated, and understood. AQ exists to provide that assurance layer so organisations can deploy AI with confidence.

view our services →
3PhD founders
V&Vcore specialism
ATITuring Institute link
2+sectors served

The people behind AQ

Domenic Di Francesco

Domenic Di Francesco

PhD, CEng (MIMechE)

Fracture mechanics, decision analysis under uncertainty, risk management and assurance.

Lawrence Bull

Lawrence Bull

PhD (AMIET)

Statistical machine learning for condition and health monitoring, focused on workflow and training.

Zack Xuereb Conti

Zack Xuereb Conti

PhD, A&CE (Melit)

AI for science, surrogate modelling, experimental design and optimisation, and architectural design.


Our advisors

Adam Sobey

Adam Sobey

Academic Advisor

Professor of Data-Centric Engineering, Southampton University. Mission Director, The Alan Turing Institute.

Dan Somers

Dan Somers

Commercial & Investment Advisor

Commercial and investment advisor supporting AQ's growth and sector partnerships.