What Julie King Computing does

JuliaHub, Inc., a Delaware corporation formerly known as Julia Computing (and rebranded in November 2022), is an AI-native engineering software company founded in 2015 by the four co-creators of the Julia programming language from MIT (Dr. Viral Shah, Prof. Alan Edelman, Dr. Jeff Bezanson, Stefan Karpinski) together with Deepak Vinchhi and Keno Fischer. The company builds a vertically integrated portfolio on top of the open-source Julia language: the JuliaHub cloud platform (managed Julia development environment with VSCode integration, Pluto notebooks, scalable CPU/GPU compute, Time Capsule reproducibility, SOC 2 Type 2 controls, and 21 CFR Part 11 compliance), Dyad (formerly JuliaSim) for AI-driven multi-physics modeling with an acausal modeling language and the Dyad Agent that converts natural language into validated physics models, and Pumas for pharmaceutical modeling and simulation (PK/PD, PBPK, QSP, PopPK, NLME, Bayesian, with integrations to NONMEM, Monolix, and Phoenix). Additional offerings include JuliaHub Air for air-gapped government deployment and JuliaHub Enterprise for bare-Kubernetes deployments with SSO and dedicated package servers.

The business operates three primary go-to-market motions in parallel: enterprise field sales targeting large pharma, government, and industrial accounts (with named logos including Pfizer, AstraZeneca, United Therapeutics, NASA, DARPA, DOE, US Air Force Research Labs, Office of Naval Research, Williams Racing, Mitsubishi Electric, Instron, Zipline, Fugro Roames, Los Alamos National Laboratory, and FAA/Lincoln Labs); product-led growth through a freemium JuliaPro download, self-serve JuliaHub subscriptions, and an AWS Marketplace listing; and community-led growth through JuliaCon, university partnerships spanning 1,500+ institutions (Harvard, MIT, Stanford, Oxford, Cambridge), training programs, and consulting services. Revenue is generated through SaaS subscriptions, commercial software licenses with support, instructor-led training courses (e.g., Parallel Computing at $500 USD per seat), and custom consulting engagements covering design, integration, package development, performance engineering, and scalability.

The company has raised approximately $102M across three disclosed rounds ($24M Series A in July 2021, $13M strategic investment from AE Industrial Partners HorizonX in June 2023, and $65M Series B in April 2026), is led by Dr. Viral Shah as CEO with the original co-creators still serving as CPO, CTO, and Chief Scientist, and maintains offices in Boston (headquarters), London, and Bangalore. Quantified customer outcomes cited include 100-1,000x performance gains over legacy languages, 115x acceleration at Pfizer, 175x pharmacology speedups on GPUs, 500x faster crash simulation at Instron, and a 1,000x DARPA electronics simulation award.

Name

Julie King Computing

Legal name

JuliaHub, Inc.

Website

https://juliacomputing.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

101–250 employees

Short description

JuliaHub, Inc. (formerly Julia Computing) is an AI-native engineering software company that sells the JuliaHub cloud platform, the Dyad agentic multi-physics modeling platform, and the Pumas pharmaceutical modeling suite to pharma, government, and industrial enterprises.

Ownership category

akta.pro rank

Product category

Scientific Computing Platform

NAICS

Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512), Scientific Research and Development Services (5417)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

akta.pro secondary industries

AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO), Lab Automation, Instrument Control & Workflow Orchestration Software (HLAGAJAG), Model Hosting, Serving & Inference Platforms (HDAAACAB)

Keywords

• Scientific computing platform
• Pharmacometric modeling software
• Multi-physics simulation
• Scientific machine learning
• Engineering digital twins

Headquarters

HQ city

Cambridge

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. SaaS Subscriptions: JuliaHub platform offered as subscription-based SaaS with various tiers for individuals, teams, and enterprises. Automatic renewal with credit card payments.
2. Software Licenses: Commercial licenses with support available for organizations. Includes Free Licenses, Evaluation Licenses, EDU Licenses, and Commercial Licenses.
3. Training Services: Instructor-led premium online courses and customized training programs for organizations. Courses include Parallel Computing ($500 USD), Introduction to Julia, Machine Learning/AI, and Advanced Julia.
4. Consulting Services: Custom consulting services including custom design and development, building wrappers for software, integrations, package development, software design, code reviews, performance engineering, and scalability services.

Pricing tiers

Go-to-market motion3 records

Distribution channels5 records

Marketing channels13 records

Core offering

Julie King Computing (JuliaHub) provides an AI-native cloud platform for Julia-based scientific computing, simulation, and machine learning, used by enterprises in pharmaceutical, government, and industrial engineering settings. The platform is delivered alongside two domain-specialized products: Pumas, used by pharmaceutical scientists for pharmacokinetic/pharmacodynamic modeling and non-compartmental analysis, and Dyad (formerly JuliaSim), an AI-assisted environment for multi-physics engineering simulation including thermal, fluid, structural, and chemical processes. Customers can develop, scale, and deploy scientific workflows from prototype notebooks through production HPC environments with proprietary Julia acceleration.

Product overview

JuliaHub is an AI-native engineering software company that evolved from Julia Computing (founded 2015). The company offers a unified platform portfolio centered on the Julia programming language and its associated products. The core offerings include JuliaHub (cloud platform for high-performance scientific computing), Dyad (AI-powered multi-physics modeling and simulation platform formerly known as JuliaSim), and Pumas (pharmaceutical modeling and simulation software). JuliaHub serves as the central platform providing managed development environments, scalable compute, and collaboration tools, while Dyad delivers agentic AI for physics-based engineering with acausal modeling capabilities, and Pumas addresses the pharmaceutical industry's regulatory-compliant modeling needs. Additional offerings include JuliaHub Air for secure air-gapped environments and JuliaHub Enterprise for large-scale deployments. The company combines traditional simulation with modern Scientific ML (SciML) approaches to enable industrial digital twins and accelerate hardware development.

Differentiator

Problem solved

Functional benefit

Brands

• Dyad: AI-native engineering platform for physics-based modeling and simulation. Formerly known as JuliaSim.
• JuliaSim
• Pumas
• Cedar EDA

Products and services

• JuliaHub Platform AI-native cloud platform purpose-built for Julia-based technical computing, simulation, and machine learning at scale. Provides a JupyterLab-based IDE, team workspaces, pre-configured Julia packages and libraries for HPC and AI, and a quantum-trained neural network framework. Designed for scientists and engineers in pharmaceutical, government, and industrial verticals who need to develop code, scale it on CPUs or GPUs, and deploy it to production cloud or HPC environments.
• Pumas Pharmacometric modeling, simulation, and analysis suite built natively in Julia, used by pharmaceutical and biotech R&D organizations. Delivers non-compartmental analysis, population PK/PD models, nonlinear mixed-effects (NLME) estimation, and clinical trial simulation in a single platform. Codifies workflows for clinical pharmacologists across discovery through clinical development for evidence-based drug development decisions.
• Dyad AI-augmented multi-physics modeling and simulation environment used by industrial and engineering organizations to design thermal, fluid, structural, and chemical systems and embed AI/surrogate components into the simulation workflow. Provides tools for engineers and scientists building digital twins across aerospace, automotive, energy, and chemical process industries.

Quantifiable outcome

• 115x faster drug development for Pfizer
• +5 more outcomes

Named customers21 records

Segments8 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability11 records

Feature12 records

Partnerships

Three partnerships are on record, tiered flagship and core.

• SynopsysflagshipTechnology or Integration · 19 November 2025JuliaHub partners with Synopsys to power SciML-based digital twins. This partnership combines JuliaHub's simulation capabilities with Synopsys' electronic design automation tools for next-generation chip and system design.
• Williams Grand Prix TechnologiesflagshipStrategic or Co-development Partner · 5 August 2025Binnies, Williams Grand Prix Technologies and JuliaHub announced groundbreaking partnership to bring scientific machine learning to UK water sector and motorsport engineering. JuliaHub provides SciML capabilities for Williams Racing F1 car development and performance optimization.
• BinniescoreStrategic or Co-development Partner · 5 August 2025Partnership to bring scientific machine learning to the UK water sector. JuliaHub's technology is used for infrastructure monitoring and optimization in water management applications.

Scale indicators12 records

Recent moves1 record

Expansion highlights7 records

Emerging players

• Databricks: Databricks offers a unified data and AI platform increasingly used for scientific computing workloads. Comparable to JuliaHub as a cloud-native, data + AI platform with notebooks, scalable compute, and ML lifecycle capabilities, though Databricks is broader and not specialized in physics simulation.

Direct peers

• COMSOL: COMSOL provides a multiphysics simulation platform widely used in engineering R&D. Directly comparable to Dyad as a multi-physics simulation tool, with similar use cases in industrial digital twins and physics-based modeling.
• Wolfram Research: Wolfram sells Mathematica and system-modeling tools used for scientific and technical computing. Comparable to JuliaHub as a rival technical computing environment with a tightly integrated language, notebook interface, and parallel/GPU execution for engineering and scientific modeling.
• MathWorks: MathWorks sells MATLAB and Simulink, the dominant commercial technical computing and multi-domain simulation platforms. Directly comparable to JuliaHub because JuliaHub/Dyad and Pumas compete head-to-head for engineering and pharma modeling workloads currently served by MATLAB and Simulink toolboxes.
• Maplesoft: Maplesoft sells Maple and MapleSim for mathematical computation and multi-domain physical system modeling. Comparable to JuliaHub and Dyad as a technical computing and simulation environment targeting engineering and academic users.
• Quantitative Systems (Certara): Certara provides the Phoenix platform for pharmacometric modeling, PK/PD, and regulatory submissions. Directly comparable to JuliaHub's Pumas product, which integrates with NONMEM, Monolix, and Phoenix, competing for the same pharma modeling and simulation budgets.

Broad incumbents

• Ansys: Ansys is a leading provider of engineering simulation software across physics domains. Comparable to JuliaHub's Dyad platform for multi-physics simulation and digital twins, but Ansys is a broad incumbent with a much larger installed base across automotive, aerospace, and industrial customers.
• Dassault Systèmes: Dassault Systèmes offers 3DEXPERIENCE and SIMULIA for modeling, simulation, and digital twins across life sciences, transportation, and industrial sectors. Comparable to JuliaHub/Pumas and Dyad for regulated pharma modeling and industrial digital twin deployments.
• Cadence Design Systems: Cadence provides electronic design automation and computational software for chip and system design. Comparable to JuliaHub's SciML partnership with Synopsys and Dyad for electronics simulation, though Cadence is the broader incumbent in the EDA space.
• Siemens Digital Industries Software (Simcenter): Siemens' Simcenter portfolio delivers multi-physics simulation and digital twin capabilities for industrial customers. Comparable to Dyad and JuliaHub's industrial simulation stack, with broader scope and deeper enterprise integration.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/JuliaComputing
• YouTubeyoutube.com/@JuliaHubInc
• LinkedInlinkedin.com/company/julia-computing

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles19 records

Funding overview

Funding rounds5 records

Investors9 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Julie King Computing