JuliaHub

SciML platform powering high-performance computing

Series B
Cambridge, USA
Founded 2020

About

Founded around 2020, JuliaHub is a Cambridge, MA-based company that develops Scientific Machine Learning (SciML) solutions combining AI with high-performance computing for scientists, engineers, and innovators. Their core product platform enables users to run complex scientific and industrial applications at any scale, empowering research and innovation in digital twins, simulation, and AI-driven modeling. Their business model focuses on providing scalable SaaS platforms with advanced HPC and AI capabilities to enterprises in various verticals including industrial digital twins and scientific R&D. JuliaHub raised $65M in a Series B led by Dorilton Capital to accelerate growth and product innovation, including launching Dyad 3.0, an agentic AI platform for industrial digital twins.

Products

  • JuliaHub Platform
  • Dyad 3.0 Agentic AI

Market research & competitive positioning

Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for JuliaHub — available to members.

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