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JuliaHub is an enterprise software company based in Cambridge, Massachusetts, specializing in Scientific AI and Scientific Machine Learning (SciML). Founded in 2015 by the creators of the Julia programming language, the company offers a cloud-native Platform-as-a-Service (PaaS) that enables engineers, data scientists, and researchers to develop, deploy, and scale Julia applications efficiently. JuliaHub's platform supports high-performance computing and integrates advanced mathematical computing with machine learning to address complex challenges in various industries, including aerospace, pharmaceuticals, automotive, energy, and semiconductors. The company provides a range of services, including tools for scientific machine learning, physics-based modeling, and digital twins. JuliaHub is recognized for its FDA CFR 11-compliant environment, making it a trusted solution for regulated industries. Its product suite includes the JuliaHub Platform, Dyad for multi-physics modeling, Pumas for pharmaceutical modeling, and Cedar EDA for electronic design automation. With significant funding and a growing customer base, JuliaHub is committed to empowering users with innovative tools for tackling scientific and technical challenges.