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Introducing Dyad Studio

Hardware Engineering at the Speed of Software

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Advanced simulation and modeling for engineering applications

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Built from the ground up for software defined machines, Dyad (Formerly JuliaSim) is a new AI-enabled system modeling tool designed to unlock workflows of the future.

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Model Development

Build models with drag-and-drop tools or a powerful IDE for advanced coding workflows.

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Model Refinement

Calibrate models and uncover hidden physics using AI and scientific machine learning.

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Model Analysis

Optimize system performance, design control strategies, and create fast surrogate models.

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Model Deployment

Export FMUs, integrate with CI/CD pipelines, and run models seamlessly on cloud or server.

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End-to-end platform accelerating pharmaceutical innovation

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Pumas is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline.

THE JULIAHUB PLATFORM

A Modern Technical Computing Platform for Data-driven Decision-making

JuliaHub is the engine behind cutting-edge innovation— whether you’re designing complex engineering systems or revolutionizing drug development. Our cloud-based platform delivers high-performance computing, AI-powered modeling, and seamless scalability, so you can move faster from idea to impact.

 

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JULIAHUB

A Modern Platform for Technical Computing

A single place for modeling, simulation and user built apps within the Julia language.

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JULIAHUB FOR PHARMACEUTICALS

End-to-End Platform to fast track drug development

A CFR Part 11 compliant platform that helps manage the full life cycle of pharmaceutical innovation.

WHY JULIAHUB?

Seamless Power, Open-Source Flexibility

JuliaHub is more than just a platform—it’s the foundation for technical computing breakthroughs. Whether you’re building customer applications in engineering or advancing pharmaceutical research, JuliaHub unlocks new possibilities with scalable, high-performance solutions.

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    Speed

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    Parallelism

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    Automatic Differentiation

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    Math-friendly Syntax

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    Scientific Modelling

BUILT ON JULIA & SCIML

Leverage the Power of Open Source

JuliaHub is built on the Julia programming language and Scientific Machine Learning (SciML)—combining speed, ease of use, and powerful modeling capabilities. Deploy in the cloud, collaborate effortlessly, and unlock the full potential of AI-driven innovation.

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    11,000+ Registered Packages

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    55M+ Downloads

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    Designed for Innovators

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    Enterprise-Ready and Scalable

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    Trusted by Industry Leaders

Enhancing Sensor Accuracy with JuliaSim

Williams Racing leveraged JuliaSim’s AI integration to develop digital twins using SciML, combining scientific models and neural networks to significantly outperform previous Python-based codes in fidelity and accuracy.

Enhancing Sensor Accuracy for Williams Racing

Revolutionizing Mission Planning for NASA

Building High-Fidelity HVAC Models for MERL

Advancing Crash Event Reproduction for Instron

Instron ships a digital twin of the catapult system to customers, which customers then use to fine tune the system operation, greatly enhancing the efficiency of their lab. Modeling, simulation and digital twins are a vital part of the design workflow of the catapult system.

Brad Carman Director of Modeling, Instron

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Julia is a high-level, dynamic programming language that solves the two-language problem by combining Python’s flexibility with C’s performance, making it ideal for scientific computing, data science, and simulation modeling.

Empowering Innovation

The creators of the Julia programming language launched JuliaHub to help customers solve complex problems with Julia, offering supercomputing infrastructure for science and technology modeling.

Experience the Future of Computing. Join global pioneers using JuliaHub to transform research, accelerate discoveries, and build the future.

From Models to Market: Powering Real-World Innovation

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ENERGY

Faster system modeling, simulation, and optimization

PHARMA

End-to-end platform to fast-track drug development

GOVERNMENT

Empowering R&D with secure, high performance computing

DEFENSE

Secure modeling for mission-critical systems

ENGINEERING

Hardware at the speed of Software

Enhancing Sensor Accuracy for Williams Racing

Williams Racing leveraged Dyad’s (Formerly JuliaSim) AI integration to develop digital twins using SciML, combining scientific models and neural networks to significantly outperform previous Python-based codes in fidelity and accuracy.

Learn more

Revolutionizing Mission Planning for NASA

By using JuliaHub tools, NASA’s RECURSAT mission planning was transformed from day-long tasks into quick resolutions that ran 15,000x faster.

Learn more

Building High-Fidelity HVAC Models for MERL

Mitsubishi Electric Research Laboratories use novel state estimation techniques for a non-invasive alternative that uses temperature and pressure measurements to predict unmeasurable quantities like refrigerant mass.

Learn more

Advancing Crash Event Reproduction for Instron

Instron uses Dyad (Formerly JuliaSim) to achieve a 500x faster design time for crash simulations, optimizing controller performance and enabling innovative, cost-effective testing solutions.

Learn more