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About

The open tech tree, directory, and playbook for Industry 4.0 & 5.0 — capabilities mapped across organizational departments, tools catalogued against them, and recipes built for specific outcomes. Skip the convention tax.

What is Unicorn Factories?

Most manufacturers spend somewhere between $2M and $20M following Industry 4.0 playbooks written by the vendors selling them the tools. We started calling this the convention tax. You probably know the pattern: commit to an enterprise platform, run an 18-month pilot, watch it stall, repeat.

The tools themselves are fine. Many are excellent. The problem is that nobody maps which ones you actually need, in what order, for your specific situation. There are 600+ IoT platforms alone. G2 and Capterra barely cover open source. The best curated list we found was a blog post with 35 entries, last updated in 2021.

So we built the map ourselves.

Unicorn Factories is built around a tech tree of 421 industrial capabilities mapped across 30 organizational departments — from unit-level inventory ledgers to autonomous robotics cells. We catalogue the 87 tools that implement those capabilities (open source and commercial, from $5 sensors to enterprise digital twins) and map how the capabilities unlock each other. Filter by protocol, deployment model, company size, industry, maturity stage. See what you need before you buy something you're not ready for.

Why this exists

We took 14 common assumptions about Industry 4.0 and tested each one against physics. Most turned out to be convention, not necessity. A $25K open source stack can get a mid-size factory to real-time OEE visibility in a week. The conventional path to the same outcome runs $2M+ and 18 months.

70% of manufacturers are stuck in pilot purgatory. They're not failing because the technology is immature. They're failing because the playbooks skip the boring infrastructure steps and jump straight to AI and digital twins.

Where this is going

The directory and the capability graph are step one. We're also building pre-built recipes — curated tool stacks for specific outcomes like OEE monitoring, predictive maintenance, and food safety compliance — that compress months of research into a decision an ops manager can make in an afternoon.

Next: Artemis, an AI agent that navigates the full capability graph to give specific answers to specific manufacturers. "I run a 200-person food plant, track nothing, have $15,000 — where do I start?" Sourced, concrete, honest about trade-offs.

And for manufacturers who want help implementing, a consultant marketplace where vetted integrators who already know the recipes can deploy them into your infrastructure.

Start with the tech tree. Browse 30 departments →
Or browse the tool directory if you already know what you're looking for.