The vision

Manufacturing shouldn't require a manufacturing degree.

You can describe software to an AI and watch it appear. You should be able to describe a physical object and hold it in your hands. We're building the bridge between those two realities.

Read on

The process of making a physical thing
is still held together with duct tape.

You need five different apps to go from model to manufactured object. A modeler. A slicer. A viewer. A spreadsheet. A prayer.
Pricing is a guess. You estimate material cost from volume, add some labor, round up, and hope you don't lose money.
Failed prints waste filament, electricity, and time. Nobody tested the model before you committed six hours to it.
The machines are digital. The materials are engineered. The process between them is still analog — guesswork, forum posts, and failed prints.

Every other creative tool got an AI upgrade. Manufacturing is still waiting.

The gap we exist to close

AI doesn't serve markets.
It creates them.

Three years ago there were 20 million software developers in the world. Then AI learned to code — Copilot, Cursor, Claude Code. Tools that made programming knowledge accessible to anyone who could describe what they wanted. The developer population didn't shrink. It more than doubled. 47 million and accelerating. A new developer joins GitHub every second.

AI didn't automate developers out of a job. It made the entire field accessible to people who were locked out by the learning curve. It reactivated the people who tried to learn and quit. It made existing developers radically more productive. The market grew in every direction at once.

The same inflection is happening in manufacturing — but bigger. More 3D printers shipped in the last two years than in the entire decade before them. Tens of millions of machines are installed worldwide. But the software between the person and the machine hasn't changed — Cura shipped in 2014, PrusaSlicer in 2016, and the workflow is still: download STL, guess settings, pray.

Tens of millions of machines waiting for an intelligence layer. Millions of people who bought a printer and hit the knowledge wall. And millions more who would start tomorrow if the barrier weren't "learn CAD, learn slicing, learn materials science, learn DFM."

The hardware companies built the install base. Mimo is the intelligence layer that activates it — and grows it.

We believe:

Every physical product should be validated before it's manufactured.

Pricing should come from simulation, not spreadsheets.

Manufacturing intelligence requires AI built around physics, not language.

Manufacturing knowledge should be accessible to everyone.

Your designs, your data, your IP — on infrastructure you can trust.

Waitlist open — private alpha launching soon

Join the waitlist.
Shape what we build.

If you believe manufacturing deserves better tools, get in early.

The earlier you join, the sooner you get in.

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