JuliaHub

JuliaHub develops Dyad, an AI-native engineering platform that combines autonomous agents with physics-based simulation and Scientific Machine Learning to design and validate industrial systems across aerospace, automotive, HVAC, semiconductors, energy, and utilities. Founded in 2015 by the creators of the open-source Julia programming language at MIT, the Cambridge, Massachusetts company counts Fortune 100 enterprises and government researchers among its customers and positions itself as a Simulink alternative for the emerging Physical AI stack.

  • Series B
  • AI/ML
  • Digital Twin
  • Simulation
  • Enterprise Software

1

Round

5

Tags

Apr 30, 2026

Latest raise

Funding activity · 1 round

Raise timeline

  1. Apr 30, 2026

    $65M

    Series B

    Led by Dorilton Capital

    • General Catalyst
    • AE Ventures
    • Dorilton Capital
    • Bob Muglia

    Article coming soon.

Pricing

Research JuliaHub — then scale the playbook

Public hubs orient you on the raise. Paid plans unlock live AI adoption signals across your market.

Enterprise

Custom pricing for unlimited scale. Let's talk.

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Growth plan

For individuals and small teams getting started with AI buyer intelligence.

$149

/month

Features

  • Access to core AI adoption signals
  • 3–5 curated slices per week
  • 30–60 companies / week
  • AI Adoption Score
  • Deal-ready insights (why + pitch angle)
  • Basic filters (recency, slice, score)
  • CSV export
Most popular

Pro plan

For outbound teams and agencies that need more coverage and faster signal cadence.

$249

/month

Features

  • Everything in Growth, plus:
  • Full access to all slices
  • 60–120 companies / week
  • Higher-frequency signal updates
  • Priority / early signals (before Growth)
  • Advanced filters (industry, size, use case)
  • Deeper company insights
  • Faster export + bulk workflows

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