JuliaHub has announced the launch of Dyad, an advanced system designed to bring the agility of modern software development into the realm of hardware systems design. Built with a focus on safety, interpretability, and technical rigor, Dyad integrates traditional physical modeling with scientific machine learning (SciML) and generative AI to enable model-based design for safety-critical industries.
“Dyad leverages our extensive experience with the Julia ecosystem, trusted by over one million users worldwide. Working closely with customers in the aerospace, semiconductor, manufacturing, and energy industries, we developed Dyad to overcome the challenges associated with yesterday’s siloed tools,” said Dr. Viral Shah, Managing Director of JuliaHub and co-inventor of Julia.
Dyad has been engineered to support every phase of the hardware product lifecycle—from rapid prototyping to production deployment—by bridging software engineering best practices with the needs of engineers and designers.
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Key features of Dyad include:
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A robust textual programming interface complemented by a graphical user interface (GUI), ensuring a seamless one-to-one mapping for collaborative engineering workflows
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Agentic AI workflows that streamline the development and conversion of models from legacy systems, enhancing engineering productivity and enabling a sharper focus on product innovation
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Native simulation and plotting tools, powered by the expansive Julia ecosystem, with built-in support for optimization, control systems, and advanced analytics
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Adherence to modern software engineering standards, allowing scalable and collaborative development across modeling, analysis, and digital engineering disciplines
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Dedicated SciML primitives that facilitate model discovery, autofill missing physical parameters, and integrate field data effortlessly into digital twins
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Full support for Functional Mock-up Units (FMUs), ensuring interoperability with existing digital engineering toolchains
“Throughout my professional career, I’ve lamented that engineering tools seem to lag decades behind the latest software and technology. Dyad is our attempt to reimagine modeling, simulation, and analysis tools to take full advantage of modern technologies and capitalize on the incredible advances in AI,” said Dr. Michael Tiller, developer of Dyad at JuliaHub.
With Dyad, JuliaHub sets a new standard for the convergence of software and hardware design—empowering engineers and organizations to innovate faster, smarter, and with greater confidence in high-stakes industries.