JuliaHub has raised $65 million in a Series B funding round led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and former Snowflake CEO Bob Muglia, and simultaneously launched Dyad 3.0, an agentic AI platform the company describes as Claude Code for the physical world. Dyad is designed to allow engineering teams to model, simulate, and validate industrial systems — from heat pumps and satellites to semiconductors — using autonomous AI agents, compressing design and testing cycles from months to days. The platform is already in use at several Fortune 100 companies across aerospace, government, automotive, HVAC, and utilities sectors.
Dyad 3.0 builds on Dyad 1.0, which launched in June 2025, and Dyad 2.0, which launched in December 2025. JuliaHub argues that physical engineering represents one of the largest sectors yet to fully benefit from the AI revolution, noting that while tools like Claude Code and Codex have transformed software development, industrial engineers have remained constrained by legacy tools that do not provide the integration or productivity gains needed to operate at the pace of AI-enhanced software. McKinsey estimates a cumulative $106 trillion in infrastructure investment will be necessary through 2040, and the engineers planning and building that infrastructure need tools that help them move faster than current systems allow.
A key differentiator of Dyad is that its modeling language is purpose-built to be understood by AI agents, with foundational logic grounded in the laws of physics. This means Dyad’s agents can reason about how fluids move through machines, how wind speed and temperature affect components, and how fundamental forces shape design — producing physically valid models that engineers can trust rather than AI-generated outputs that may violate physical constraints. In partnership with Binnies and Williams Grand Prix Technologies, JuliaHub developed a Scientific Machine Learning-powered digital twin that uses just four sensor inputs to predict pump faults in water distribution systems with over 90% accuracy.
Dorilton Capital’s Daniel Freeman, who led the Series B, described systems modeling as one of the most strategically important layers of the AI-native engineering stack because it is where physics, control logic, and AI converge. JuliaHub was founded in 2015 by the creators of the Julia programming language, which is now used by over one million developers worldwide. Dyad 3.0 will be officially unveiled at a live event on May 19, where JuliaHub plans to showcase product demonstrations and customer case studies from across its industrial verticals.
KEY QUOTE:
“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.”
Viral Shah, CEO, JuliaHub
