Dynamet Insights Information

Dynamet partners with organisations to solve complex process challenges using advanced modelling and analytics. At the core of our approach is hybrid modelling, where we combine first-principles physics with process data to develop predictive models that support design, optimisation, and operational decisions. We develop time-based, data-driven digital models that capture transient system behaviour and support decisions throughout the project lifecycle, from R&D and pilot trials to full-scale operations. Rather than offering off-the-shelf software, we co-develop bespoke models tailored to each client’s data, plant configuration, and business goals. Our solutions are delivered as consultant-led studies or packaged as user-friendly standalone or web-based tools for secure client use. With more than 80 years of combined project and modelling experience, Dynamet’s collaborative approach ensures tailored, practical results without requiring clients to build in-house modelling expertise. Core capabilities: • Steady-state modelling for conceptual design, feasibility assessment, and process optimisation. • Dynamic modelling framework capturing real process behaviour and transient dynamics. • Hybrid modelling that blends first-principles physics with data-driven learning for accuracy, speed, and robustness. • Process simulation integrating laboratory, pilot, or plant data for continuous calibration and validation. • Flexible, client-specific modelling using proprietary technology within a powerful integrated software environment. • Collaborative, deployable models that deliver Dynamet’s expertise without software licenses, embed client knowledge, and can be packaged for independent use.