applications are designed to reduce manual analysis, standardise surveillance, and generate data-driven recommendations for operational decisions. Sig Machine Learning focuses on asset optimisation, production surveillance, intelligent control systems, and maintenance prioritisation across sectors such as energy and motorsport. Its solutions embed AI models into engineering workflows so teams can monitor equipment health, improve performance, and configure control systems more efficiently.