Bengaluru-based JuliaHub has announced a $65 million funding round 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 artificial intelligence platform designed to streamline the creation and testing of complex industrial systems.
Dyad 3.0: Agentic AI for Hardware Engineering
Dyad is built to bring agentic AI into hardware engineering, enabling AI agents to assist in designing, simulating, and optimizing machines such as heat pumps, satellites, and semiconductors. The platform aims to dramatically reduce development timelines, compressing work that traditionally takes months into days or even minutes.
At its core, Dyad acts as an AI-powered workspace for engineers, combining physics-based simulations, control systems, safety analysis, and code generation in a single environment. Hardware engineering has been slower to adopt AI compared to software development. While coding tools have advanced rapidly, industrial engineers still rely on older systems.
Addressing Infrastructure Needs
McKinsey has estimated that a cumulative $106 trillion in investment will be necessary through 2040 to meet the demand for new and updated infrastructure. The engineers planning and building these updates require solutions that allow 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 employs scientific machine learning to continuously refine these models based on real-world data, helping engineers predict failures, improve efficiency, and optimize performance.
JuliaHub stated that 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 adhere to the laws of physics—a critical requirement in industries where errors can lead to serious real-world consequences.
Viral Shah, CEO of JuliaHub, commented: It is not about helping engineers complete one small task at a time. It is agentic engineering at scale, where teams can feed a full specification to Dyad and have it design the complete system. Spec in. Design out.
