Tech

Parametric Fashion

92 million tons of textile waste per year. 30% of garments never sold. $816B in returns — 70% from poor fit. What if every garment was made for the person who ordered it? Parametric fashion replaces standard sizing with mathematics. Every dimension is a function of the wearer's body. No sizes. No inventory. No waste. The technology stack is 90% built. 3D body scanning, garment simulation, and whole-garment knitting machines are all production-ready. What's missing is the AI/ML bridge — software that converts a body scan into fabrication instructions for a specific parametric design. That bridge is what we're building.

fashionparametric designknittingcomputationalsustainabilitymanufacturing

Interactive Prototype

The Body Is the Blueprint

Drag the sliders to change body measurements. The silhouette morphs, the garment reshapes, and the pattern pieces recalculate in real time.

BODY → GARMENT

C=96c=52.0

W=80w=43.0

S=44s=46.0

A=65a=61.8

T=55t=53.0

Measurements

Chest96cm
Waist80cm
Shoulder44cm
Arm Length65cm
Torso55cm

Traditional Cut Pattern — Fabric Utilization

FRONT52 × 53cmBACK52 × 53cmL SLEEVE62cmR SLEEVE
Pattern piece
Waste — 0%

Parametric whole-garment knitting eliminates cutting waste entirely.

The Core Loop

Five steps. Scan your body with a phone camera — current depth sensors achieve 96-97% accuracy against manual measurement. Choose a garment from the marketplace. Preview it on your avatar, fine-tune fit with presets and sliders. The platform compiles your measurements against the designer's parametric template, generates machine-ready fabrication instructions, and dispatches to a micro-fabrication center. A finished garment ships to your door.

Every order feeds a closed-loop system: consumers rate fit per body region, the platform clusters feedback by body type, and the underlying ML models recalibrate. Each garment produced makes the next one fit better.

Closed-loop ecosystem — scanning station, design studio, simulation, fabrication, logistics, consumer feedback

The closed loop: scan → design → simulate → fabricate → ship → feedback → improve

Why Knitwear First

Whole-garment knitting machines already exist. Shima Seiki and Stoll build industrial flat-bed knitters that produce complete, seamless garments in a single operation — no cutting, no sewing, no post-production. A single machine takes yarn in and produces a finished sweater. Zero seams. Zero waste.

Whole-garment knitting machine producing a complete seamless sweater
Whole-garment knit sweater — continuous construction, no side seams

Left: a whole-garment machine takes yarn in and produces a finished sweater. Right: seamless construction — no cutting, no sewing, no waste.

Working Platform

The Ecosystem in Action

A modular monolith serving three audiences — consumers, designers, and operators — through a single unified platform.

parametricfashion.com
Parametric Fashion marketplace — browse garments with category filters, pricing, and fit scores

Consumers browse parametric garments with real-time fit scoring and category filtering.

The Build

KnitForge is the production-grade geometry-to-fabrication pipeline: 31,000 lines of Python, 1,088 tests, compiling 3D body geometry into machine-readable knitting instructions. The consumer platform is a FastAPI modular monolith (8 domain modules) serving a Next.js 15 frontend with Three.js avatar rendering and real-time pattern generation via KnitForge's REST API.

The market is $63.8 billion in 2025, projected to reach $179.5 billion by 2033 at 10.9% CAGR. The trigger: CLO and Shima Seiki announced a direct integration partnership in March 2026, validating the exact pipeline this platform builds.

Looking For

Machine Access

Industrial whole-garment knitting machines (Shima Seiki, Stoll) for prototyping and production validation.

Fashion Collaborators

Designers and brands interested in parametric garment templates, custom-fit collections, or zero-waste manufacturing.

Investment

Seed funding to scale the platform — from body scanning pipeline to consumer marketplace launch.

Interested in this work?

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