CAMBRIDGE, Mass.: JuliaHub raises $65 million in Series B funding to expand its AI platform for engineering digital twins.
Dorilton Capital led the funding, joined by General Catalyst, AE Ventures, and Bob Muglia, who previously served as CEO of Snowflake. The money will go toward the next big release of Dyad, JuliaHub’s core product.
Dyad enables engineering teams to quickly build digital twins of complex hardware systems. Autonomous AI agents simulate and optimise designs for satellites, heat pumps, and industrial machinery. The platform compresses traditional design cycles from months down to weeks.
JuliaHub plans to ship Dyad 3.0 with the new funding behind it. The release brings expanded simulation capabilities across more hardware categories. New AI agents will handle additional engineering disciplines beyond the current scope.
The company traces its roots to the open-source Julia programming language community. Julia powers high-performance scientific computing across research and industry. JuliaHub commercialises the language stack for enterprise engineering customers.
Industrial AI represents a growing investment category for venture capital firms. Companies like JuliaHub bet that AI agents can transform hardware engineering workflows. Aerospace, automotive, and energy customers drive much of the early demand.
“Engineering teams need AI that understands physics, not just text,” says JuliaHub CEO Viral Shah.
Bob Muglia’s participation brings deep enterprise software experience to the cap table. The former Snowflake chief led that company through hypergrowth and IPO. His backing signals confidence in JuliaHub’s enterprise go-to-market motion.
The round arrives as competition intensifies across simulation software broadly. Ansys, Siemens, and Autodesk all push AI features into legacy products. Startup challengers bet that AI-native platforms will outpace incumbent retrofits.
JuliaHub has not disclosed customer counts or revenue figures publicly.
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