A selection of projects where AQ has delivered verification, validation, and assurance for machine learning systems in safety-critical industries.
AQ verified a machine learning workflow for a global inspection company operating in the energy sector. The engagement covered model assumptions, data quality, and interpretability including distilling over 100 classifiers into a single interpretable model.
case_study() →AQ provided verification of a voyage data recorder digital twin supporting Lloyd's Register certification for Furuno's HERMACE system. The work included systems engineering, software-in-the-loop test design, and reliability quantification.
view_source() →AQ engineers delivered specialist training on probabilistic programming for risk and safety to the science division of the Health and Safety Executive (HSE).
case_study() →AQ designed and delivered training on using machine learning to model physical systems for digital twin applications, covering applied statistical ML, workflow design, and practical model evaluation.
case_study() →// work with us
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