JuliaHub Brings Agentic AI to Digital Twins via Dyad 3.0

JuliaHub presents Dyad 3.0 and announces $65M series B funding round led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and technology investor and former Snowflake CEO Bob Muglia.

Dyad brings autonomous AI agents into the digital design and testing of industrial machines. From heat pumps to satellites to semiconductors, engineering teams can compress cycles of design, testing, and building from months to minutes, accordingt o JuliaHub. Several Fortune 100 companies are already leveraging Dyad and Julia across several industrial sectors such as aerospace and automotive.

“Systems modeling is one of the most strategically important layers of the AI-native engineering stack, because it is where physics, control logic, and AI converge," says Daniel Freeman, who led the Series B round for Dorilton Capital. "JuliaHub has built something extraordinary with Dyad: a platform that doesn’t just model systems, but compiles them, taking engineers from concept to production control code in a single environment.”

Dyad gives engineering teams an AI-first environment to model, test and validate industrial systems. Dyad 3.0 builds on Dyad 1.0 (launched in June 2025) and Dyad 2.0 (launched in December 2025). Dyad connects autonomous agents with scalable physics simulations, rigorous controls, safety analysis, and the ability to generate code for embedded systems.

“It’s not about helping engineers complete one small task at a time. It’s agentic engineering at scale, where teams can feed a full specification to Dyad and have it design the complete system. Spec in. Design out,” says Viral Shah, CEO of JuliaHub.

Dyad’s cloud-based agents are designed to scan through the scientific knowledge to constantly improve models. AI-automated lab testing is to ensure models match physical reality. Dyad’s simulation ecosystem and language offer a foundation on which all of these learnings are relayed back to engineers to check the processes, determine whether assumptions match customer requirements, and be the human in the loop that ensures the safety of the final product. 

“Dyad is transforming system-level engineering by combining scientific AI, agentic modeling, and a powerful compilation pipeline into a unified workflow," Prith Banerjee, senior vice president of Innovation at Synopsys.

Integrated with Synopsys simulation software Ansys TwinAI, it enables high-fidelity hybrid digital twins by integrating physics-based simulation with data-driven models. 

Dyad’s modeling language is purpose-built to be easy for AI agents to understand, according to JuliaHub. Its foundational logic is grounded in the laws of physics, allowing its agents to reason about how fluids move through machines, how wind speed and temperature affect components, and how fundamental forces like gravity shape design.

Dyad 3.0 Launch event

Dyad 3.0 will be officially unveiled at a live event on May 19. Join us to see live product demonstrations.

About JuliaHub

JuliaHub was founded in 2015 by the creators of Julia, the high-performance open-source language developed at MIT and now used by over a million developers worldwide. JuliaHub combines advanced mathematical computing and machine learning expertise to enable scientific machine learning techniques, Digital Twin solutions, and next-generation modeling and simulation in aerospace, automotive and other industrial verticals.

Sources: Press materials received from the company and additional information gleaned from the company’s website.