Enginuity

The European Union’s Green Deal aims for climate neutrality by 2050, setting targets that pose significant challenges for engineering sectors. Enterprises are expected to meet emission reduction targets and adhere to environmental standards, which necessitate the adoption of eco-friendly practices. Additionally, the Deal emphasizes supply chain sustainability, requiring enterprises to ensure that their suppliers uphold environmental standards. Another call for action is a recent European Commission report that identifies 3 key areas for action to support sustainable growth: closing the innovation gap with global competitors, unifying decarbonization efforts, and enhancing security while reducing dependencies. In response, manufacturing enterprises must reimagine their products and processes, focusing on new materials, optimized efficiency, and waste reduction. The Enginuity project meets these demands by developing a software framework that supports design exploration, optimization, and data-driven decision-making. The Enginuity framework consists of 3 layers: tool, model, and AI, providing automation, integration, and intelligence. The tool and model layers facilitate highly automated, integrated engineering processes, while the AI layer supports and utilizes their results. Initially, AI helps create tools and models, lowering entry barriers for engineers and reducing development time. As the tool-model layer matures, it generates vast engineering data that trains new AI tools, enabling predictive responses to engineering queries. Ultimately, Enginuity accelerates the engineering process and software development, enhancing process efficiency, optimisation and enabling decision-making.