JuliaHub is a leader in scientific artificial intelligence. The company was founded in 2015 by the creators of Julia, the high-performance open-source language developed at MIT and now used by 1 million-plus developers worldwide.
JuliaHub combines advanced mathematical computing and machine learning expertise to enable scientific machine learning (SciML) techniques, digital twin solutions, and next-generation modeling and simulation in aerospace, automotive and other industrial verticals.
The company's flagship offering JuliaHub, is a secure, software-as-a-service platform for developing Julia programs, deploying them, and scaling to thousands of nodes. It provides the power of a supercomputer at the fingertips of data scientists and engineer. In addition to data science workflows, JuliaHub also provides access to products such as Pumas for pharmaceutical modeling and simulation, Dyad (formerly JuliaSim) for multi-physics modeling and simulation, and Cedar EDA for electronic circuit simulation, combining traditional simulation with modern SciML approaches.
JuliaHub, formerly Julia Computing, was founded in 2015 by the four co-creators of Julia (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson and Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer.
JuliaHub Launches Dyad 3.0
Dyad brings autonomous AI agents into the digital design and testing of industrial machines.
JuliaHub Brings Agentic AI to Digital Twins via Dyad 3.0
Dyad, agentic AI platform for hardware engineering, brings physical AI to complex systems design and testing.
JuliaHub Launches Dyad AI
The AI for Science environment integrates coding, simulation, and scientific reasoning into a single engineering workflow, according to JuliaHub.
JuliaHub Partners with Synopsys to Power SciML-Based Digital Twins
Integration of Dyad enables physics-informed AI for simulation-driven innovation