ClothingMachine

The personal garment factory for a post-waste world.

An AI-driven home manufacturing ecosystem that lets anyone design and produce custom garments instantly — merging fashion, sustainability, and autonomy.

View on GitHub See Demo

Partnership

André Benjamin (André 3000) + Seth Justin

André has spent 30 years asking: "What if clothing was as personal as music?"

From custom jumpsuits to bespoke tailoring to textile experiments — André's fashion practice has always been about individual expression against industrial conformity.

ClothingMachine is the infrastructure for that philosophy.

It's the tool that lets everyone access what André has always done: custom garments, perfect fit, zero waste, local production, creative control.

How It Works

Body
Measurements

You

Pattern
Grading

AI

Fabric
Nesting

Optimizer

Sewing
Instructions

Machine

Think of it as Figma for garments (but outputs real manufacturing files), GCC for clothing (compile human intent → machine instructions), or a 3D printer for clothes (parametric design + local production).

The Problem

The Solution

Pattern DSL

Human-readable language to define garments parametrically with seam allowances, grainlines, and notches.

Grading Engine

Apply body measurements + ease tables to generate perfectly sized pattern pieces.

Nesting Optimizer

Pack pieces on fabric roll with <15% waste (vs 20-25% industry standard).

Sew Path Planner

Generate machine-agnostic assembly instructions with stitch speeds, lengths, and paths.

Web Interface

Upload measurements, preview nested layout, download SVG + JSON manufacturing files.

Open Source

MIT license. Community patterns, extensible architecture, hardware integrations.

Impact

$5
Cost per garment
<15%
Fabric waste
Instant
Grading time
Zero
Inventory

Use Cases

Demo (Phase 1 Complete)

Working Python pipeline for pattern grading:

# Parse a pattern DSL file
python -m core.dsl samples/patterns/boxy_shirt.patt --size M

# Grade pattern for size L
python -m core.grade \
  --pattern samples/patterns/boxy_shirt.patt \
  --size L \
  --output pieces.json

Current Status:

Market Opportunity

$2.5B
Custom Clothing Market
200K+
Independent Designers
50K+
Studios/Ateliers
1,000+
Fashion Schools

Comparable Software: Gerber AccuMark ($10K-50K/seat), CLO 3D ($50-150/month), Pattern Lab London (£1,200/year).

ClothingMachine: Open-source core (free forever), SaaS platform ($29-99/month), Enterprise ($500-2K/month).

Roadmap

Phase 1 (Complete)

Core infrastructure: Pattern DSL, grading engine, geometry, sample patterns.

Phase 2 (4-6 weeks)

Nesting algorithm, web interface, sew path planner, SVG export.

Phase 3 (3-6 months)

10+ patterns, community library, SaaS beta, hardware integrations.

Why This Matters

André 3000's cultural credibility + open-source infrastructure + AI-powered automation = a new category of fashion manufacturing.

Not just software. A cultural movement to re-localize garment production and make fashion personal, sustainable, and autonomous.

Get Involved

ClothingMachine is open-source. We welcome pattern contributions, algorithm improvements, hardware integrations, and feedback.

GitHub Contact