JuliaHub's Dyad 3.0 AI Platform Raises $65M in Series B Funding Led by Dorilton Capital

JuliaHub has launched Dyad 3.0, an AI platform revolutionizing physical systems design and testing, with a $65M series B funding round led by Dorilton Capital. Other participants included General Catalyst, AE Ventures, and former Snowflake CEO Bob Muglia. Dyad compresses R&D time from months to minutes, enabling engineering teams to design and build complex systems such as heat pumps, satellites, and semiconductors rapidly.

Dyad's cloud-based agents continuously improve models by scanning through scientific knowledge and implementing AI-automated lab testing. The platform bridges the gap between software and the real world, offering autonomous AI agents, scalable physics simulations, and the ability to generate code for embedded systems. It also integrates with Synopsys simulation software, Ansys TwinAI™, to accelerate the digital engineering lifecycle.

Dyad's purpose-built modeling language is grounded in the laws of physics, facilitating the development of physically valid models that engineers can trust. The platform's launch event is scheduled for May 19, where live demonstrations and customer testimonials will be presented. JuliaHub, founded in 2015, combines advanced mathematical computing and machine learning expertise to enable Scientific Machine Learning (SciML) techniques, Digital Twin solutions, and next-generation modeling and simulation in various industrial verticals.