MultiFluidX (MFX) is a Greek deep-tech SME specialising in Computational Fluid Dynamics (CFD), Artificial Intelligence, physics-informed machine learning and advanced numerical modelling.
Our mission is to make high-fidelity simulation faster and more accessible by combining physics-based computational methods with AI. MultiFluidX develops AI-accelerated CFD technologies capable of learning from numerical simulation data and providing rapid predictions of complex flow and transport phenomena. This enables computationally demanding engineering and environmental problems to be explored at significantly reduced computational cost.
Our core expertise includes CFD, AI/ML surrogate modelling, physics-informed AI, multiphase flows, environmental and urban flow modelling, digital twins, OpenFOAM development, scientific computing and high-performance computing. We develop both standalone AI predictors and hybrid approaches in which machine-learning models are integrated directly into physics-based simulation workflows.
MultiFluidX has applied these technologies across a range of sectors and applications, including urban and environmental flows, energy, hydrogen, industrial processes, multiphase systems and advanced engineering simulation.
In the field of sustainable and climate-resilient cities, MultiFluidX is currently developing PAI-BLUE – Physics-Informed AI Modelling of Blue-Green Urban Systems within the European COSMIC innovation programme. PAI-BLUE focuses on AI-accelerated modelling of urban blue-green solutions, including vegetation canopies, green façades and roofs, and urban water bodies, and their interaction with the urban microclimate. The approach combines CFD and machine learning to support faster assessment of the effects of blue-green interventions on urban environmental conditions.
Building on this technological foundation, MultiFluidX is interested in collaborating with cities and public authorities, universities and research organisations, urban planners, green-infrastructure specialists and technology companies to develop and demonstrate practical tools for climate-resilient urban planning. Of particular interest are applications involving urban microclimate, green and blue infrastructure, nature-based solutions, heat mitigation, urban airflow, thermal comfort, environmental modelling and AI-enabled decision support.
MultiFluidX has experience in collaborative European R&D and innovation projects and works with academic, industrial and technology partners across Europe. We are interested both in contributing our AI-CFD and physics-based modelling expertise to complementary consortia and in jointly developing new projects that move advanced simulation and AI technologies from research towards real-world demonstration, validation and deployment.
