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JuliaHub Secures $65 Million to Scale Dyad 3.0, Its Agentic AI Platform for Industrial Digital Twins

JuliaHub Secures $65 Million to Scale Dyad 3.0, Its Agentic AI Platform for Industrial Digital Twins

New updates have been reported about JuliaHub.

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JuliaHub has raised $65 million in Series B funding and launched Dyad 3.0, positioning the company at the center of the emerging “physical AI” market for industrial system design and digital twins. The round was led by Dorilton Capital with participation from General Catalyst, AE Ventures, and former Snowflake CEO Bob Muglia, providing growth capital to accelerate Dyad’s commercialization across aerospace, automotive, utilities, and other asset-heavy sectors.

Dyad is an AI-native engineering platform that uses autonomous agents and scalable physics simulations to design, test, and generate control code for complex hardware systems, aiming to compress development cycles from months to days. JuliaHub CEO Viral Shah describes the approach as “spec in, design out,” while investors argue that JuliaHub could become a defining company in physical AI as it unifies system modeling, control logic, and AI into a single environment.

Dyad 3.0 extends earlier releases from 2025 by integrating scientific machine learning, streaming data, and AI-automated testing to create hybrid digital twins that learn from real-world operations while respecting physical laws. The platform’s modeling language is built to be easily interpreted by AI agents and grounded in physics, enabling more reliable automation than general-purpose large language models, which have struggled with tasks such as chemical process modeling.

Strategic partnerships enhance Dyad’s reach, including integration with Synopsys’ Ansys TwinAI to deliver high-fidelity digital twins and joint work with Binnies and Williams Grand Prix Technologies on water infrastructure, where Dyad-powered models have predicted pump faults with over 90% accuracy using minimal sensor inputs. JuliaHub sees a vast addressable market as industries confront an estimated $106 trillion in global infrastructure investment needs through 2040, and the company plans to showcase Dyad 3.0’s capabilities and customer use cases at a launch event on May 19 as it scales its physical AI offering for global industrial clients.

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