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JuliaHub Secures $65 Million Series B Funding to Launch Dyad 3.0

Cambridge, Massachusetts, May 1, 2026 — JuliaHub has announced the launch of Dyad 3.0, a transformative platform that incorporates agentic AI into the realm of industrial digital twins. The company successfully raised $65 million in a Series B funding round led by Dorilton Capital, with contributions from General Catalyst, AE Ventures, and notable tech investor Bob Muglia, former CEO of Snowflake.

Dyad 3.0 signifies a paradigm shift in how physical systems are designed and built. By integrating autonomous AI agents into the design and testing processes of industrial machines, Dyad dramatically reduces the time required for research and development. Tasks that previously took months can now be completed in just a few days. Notably, numerous Fortune 100 companies are already leveraging this innovative platform across various sectors, including aerospace, automotive, HVAC, and public utilities.

The introduction of Dyad 3.0 marks an advancement from its predecessors, Dyad 1.0 and Dyad 2.0, launched in June and December of 2025, respectively. The latest iteration connects autonomous agents to scalable physical simulations, strict controls, and the capacity to generate code for embedded systems, effectively bridging the gap between software and the physical world.

A New Era for Industrial Engineering
The engineering realm has long been hindered by outdated tools that inadequately meet the sophistication needed for modern demands. According to McKinsey's estimates, a staggering $106 trillion in cumulative investment will be required by 2040 to address the need for new and upgraded infrastructures. Engineers require solutions that keep pace with AI-enhanced software capabilities — this is where Dyad comes into play.

Dyad offers engineers an AI-powered environment that streamlines the modeling, testing, and validation of industrial systems. Imagine a tool akin to Claude Code, but tailored for the physical world. Viral Shah, CEO of JuliaHub, emphasizes that Dyad provides a comprehensive engineering solution where teams can input complete specifications directly into the platform, allowing the AI to design the entirety of a system, thereby eliminating the need for extensive manual input.

The Role of AI in Innovative Hardware Engineering

One of Dyad's defining features is its ability to leverage scientific knowledge and automate laboratory tests via AI. Continuous data streams combined with Scientific Machine Learning (SciML) enable models to adapt and evolve as they gather insights from real-world applications. The ecosystem surrounding Dyad is designed to relay these learnings to engineers, allowing them to verify processes and ensure compliance with client requirements.

Prith Banerjee, Senior VP of Innovation at Synopsys, discusses the transformative potential of Dyad: "It merges scientific AI, agentic modeling, and a powerful compilation pipeline into a cohesive workflow that redefines how intelligent software-defined systems are designed and validated. This is a significant advancement that accelerates the entire lifecycle of digital engineering."

A Milestone for AI in Real-World Engineering Challenges

Generalized AI models can't guarantee that their outputs adhere to the physical laws governing engineering. In fields such as mechanical engineering, an error can lead to catastrophic outcomes, emphasizing the need for precise and validated outputs. Dyad excels in automating the creation of predictive controllers, a task that previously, before Dyad's intervention, would consume weeks of engineering time.

Join Us for a Live Launch Event
JuliaHub will officially present Dyad 3.0 at a live event on May 19, where participants can witness product demonstrations and hear firsthand accounts from clients in diverse sectors. As JuliaHub continues to push the boundaries of science and technology, Dyad 3.0 stands to redefine the way physical systems are engineered and validated in the industrial landscape.

About JuliaHub
Founded in 2015 by creators of the high-performance open-source Julia language, JuliaHub is at the forefront of scientific AI. Their mission is to equip those tackling the world’s most complex scientific challenges with cutting-edge AI tools in a transparent and secure environment.

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