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DeepCast develops physics-informed AI that makes custom simulation and digital twins faster, simpler, and more accessible. Our technology combines physical laws, engineering expertise, and real-world data to automatically generate interpretable models of complex systems. Instead of relying on black-box predictions or rigid, computationally expensive simulators, we create adaptable digital twins that help teams understand how systems behave and make better decisions with less data and modeling effort. From individual equipment to entire industrial facilities, our solutions help engineers and scientists forecast performance, explore what-if scenarios, investigate operational challenges, and optimize cost, efficiency, and emissions. Our technology spans three key areas: industrial digital twins and process optimization; fast surrogate models for fluid flow and reservoir engineering; and AI-guided experimentation for materials science and formulation development. We support applications across energy, manufacturing, chemical processing, and other industrial sectors. Through our DeepCast Expedium platform, teams can integrate existing data and tools, run simulations, and turn model insights into practical recommendations, on-premises or in the cloud. Discover what’s possible: https://deepcast.ai

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DeepCast.ai is based in Houston, Texas.

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