JuliaHub raises $65mn, launches AI platform for industrial design

JuliaHub raises $65mn, launches AI platform for industrial design
Bengaluru: JuliaHub has raised $65 million led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and former Snowflake CEO Bob Muglia. Alongside the funding, the company launched Dyad 3.0, an updated version of its AI platform for designing and testing complex industrial systems.Dyad is built to bring “agentic AI” into hardware engineering—essentially allowing AI agents to help design, simulate, and optimize machines such as heat pumps, satellites, and semiconductors. The platform aims to dramatically cut development timelines, compressing work that typically takes months into days or even minutes.At its core, Dyad acts like an AI-powered workspace for engineers. It combines physics-based simulations, control systems, safety analysis, and code generation in one environment. Hardware engineering has been slower to adopt AI compared to software. While coding tools have advanced rapidly, industrial engineers still rely on older systems.McKinsey has estimated that a cumulative $106 trillion in investment will be necessary through 2040 to meet the need for new and updated infrastructure. The engineers planning and building these updates need a solution that allows them to move at the pace of AI-enhanced software Dyad addresses this gap by creating “digital twins”—virtual models of real-world systems—that can be tested and improved using AI.
It uses scientific machine learning to continuously refine these models based on real-world data, helping engineers predict failures, improve efficiency, and optimize performance.JuliaHub said Dyad can automate complex engineering tasks, such as building control systems for chemical plants, which would traditionally take weeks. The platform is also designed to ensure that AI-generated designs follow the laws of physics—critical in industries where errors can have serious real-world consequences.“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,” said Viral Shah, CEO of JuliaHub.

author
About the AuthorShilpa Phadnis

Shilpa Phadnis is an Editor (IT) and Business Journalist with over 15 years of experience covering IT, business, and startups, capturing the city’s dynamic entrepreneurial ecosystem, GCCs, and new-age firms.

End of Article
Follow Us On Social Media