JuliaHub has introduced Dyad, a transformative system designed to accelerate hardware development by integrating modern software agility with physics-based modeling, Scientific Machine Learning (SciML), and Generative AI. Tailored for safety-critical applications, Dyad empowers engineers across industries like aerospace, semiconductors, manufacturing, and energy to streamline product design and deployment.
JuliaHub launches Dyad to revolutionize hardware system design.
Combines physics-based modeling with SciML and Generative AI.
Supports textual and GUI interfaces for seamless engineer workflows.
Enhances productivity with agentic AI and scalable digital engineering.
Offers SciML-native tools for model discovery and digital twins.
Dyad Studio available under source-available license for non-commercial use.
Dyad brings software development’s speed and flexibility to hardware system design, addressing the limitations of traditional siloed tools. Built on the Julia ecosystem, trusted by over a million users, Dyad integrates physics-based modeling with advanced SciML and Generative AI. This combination ensures safe, interpretable, and engineer-approved solutions for safety-critical applications, enabling faster prototyping and production deployment.
"Dyad leverages our significant experience with the Julia ecosystem that is trusted by over a million users worldwide. Working closely with customers across aerospace, semiconductors, manufacturing and energy industries, we have developed Dyad to overcome the challenges of yesterday's siloed tools," said Dr. Viral Shah, JuliaHub CEO and Co-Creator of Julia.
Dyad supports the entire product lifecycle through a dual-interface approach: a textual programming interface for software developers and a Graphical User Interface (GUI) for engineers, with seamless mapping between the two. This flexibility enhances collaboration and scalability, allowing teams to work efficiently on modeling, analysis, and digital engineering projects. Dyad also integrates simulation and plotting workflows, leveraging Julia’s robust ecosystem for optimization and control systems.
Agentic AI workflows in Dyad streamline model development, enable conversion from legacy systems, and boost engineer productivity by focusing on product design. SciML-native primitives facilitate model discovery, auto-completion of missing physics, and integration of field data for digital twins. Dyad also supports importing and exporting Functional Mock-up Units (FMUs), ensuring interoperability with upstream and downstream digital engineering tools.
"Throughout my career, I've lamented the fact that engineering tools seem to be decades behind the state-of-the-art in software and technology. Dyad is our attempt to reimagine modeling, simulation and analysis tools to leverage fully modern technologies and capitalize on the incredible advances in AI," said Dr. Michael Tiller, designer of Dyad at JuliaHub.
Dyad Studio is offered under a source-available license, allowing engineers to explore its inner workings. It is free for educational and personal non-commercial use, with commercial licenses available through JuliaHub. This accessibility, combined with Dyad’s advanced capabilities, positions it as a game-changer for collaborative and scalable hardware development.
JuliaHub’s launch of Dyad marks a significant step toward modernizing hardware system design. By bridging software agility with engineering precision, Dyad empowers organizations to innovate faster, create robust digital twins, and achieve seamless integration across complex workflows, setting a new standard for digital engineering.
JuliaHub's mission is to empower those tackling the world's toughest scientific and technical challenges with cutting-edge tools in a seamless, secure environment. JuliaHub combines advanced mathematical computing and machine learning expertise to enable Scientific Machine Learning (SciML) techniques, Digital Twin modeling, and next-generation modeling and simulation in pharmaceutical, aerospace, automotive and other industries.
Dyad brings together cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. Dyad enables the development of continuously improving digital models by integrating AI with Scientific Machine Learning (SciML) in a safe, engineer-in-the-loop, environment. Dyad empowers teams to deploy smarter, faster, and more reliable systems without compromising the rigor of traditional engineering for over-the-air updates, predictive maintenance and real-time performance tuning. Dyad Studio is a powerful Visual Studio Code (VS Code) extension for the Dyad Modeling Language – engineered for professionals who need more than what traditional modeling GUIs can offer. Our next release will be Dyad Builder which provides a graphical user interface for quickly constructing and analyzing system level models. Both of these tools are part of our Dyad platform, an AI-enabled system modeling system built from the ground up for the era of Software-Defined Machines.
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