Beforewear

Why Beforewear

AI-native apparel.
From intent to output.

Beforewear’s AI takes your ideas and inputs through design, garment development, content and technical deliverables. It handles the workflow behind the result, with you providing the direction.

The difference is the work you take on. Beforewear is built to infer and execute the chain, with you directing the result.

Start designing ↗

Choose your role
in the workflow.

These platforms have overlapping capabilities, including AI and automation. Compare what you need to operate yourself, what you need to integrate, and what the system completes for you.

Beforewear

Direct the result; AI executes the workflow

Start with intent and references. Beforewear handles the required garment operations, checks results and routes revisions. You review the output without managing a specialist 3D workflow.

CLO

Garment authoring & simulation

An interactive design environment with Python scripting, APIs, and SDK support for extending garment workflows.

Official documentation ↗

Style3D

Connected AI + 3D suite

Garment development, content, and production workflows. Studio V10.0 includes AI-assisted setup and MCP-connected print production.

Official documentation ↗

Browzwear / VStitcher

Authoring & programmable execution

Garment authoring with Open Platform APIs and a separately licensed Server Engine for execution without a user interface.

Official documentation ↗

Optitex

Patterns & production preparation

Integrated 2D patternmaking, grading, and 3D visualization, with tools for tech packs, markers, and nesting.

Official documentation ↗
Sources & open-source foundations

Product descriptions summarize the official sources linked above, reviewed September 14, 2026. This is a comparison of emphasis, not a performance or price benchmark. Automation, AI, and headless execution also exist in the other platforms.

GarmentCode · open source. A modular framework for parametric sewing patterns: a programmatic foundation for developers working with garment representation. Explore GarmentCode ↗

Describe the outcome.
The system handles the steps.

You set the direction

Share an idea, references or an existing product. Specify what you need back. Clarify design choices and review the result.

Beforewear runs the workflow

The AI harness interprets the inputs, selects garment operations, checks their results and directs revisions. Modeling, simulation and output preparation happen behind the request.

Continue with the next request

Ask for a new print, size, view or technical deliverable. Build on the garment without taking over the individual 3D operations.

See what you can create ↗

What runs underneath

Our own garment
construction layer.

Built by Beforewear

The construction layer—how flat pattern pieces become a sewn, draped 3D garment—is built by Beforewear on open-source simulation foundations. It runs headless: agents drive it through the SDK and MCP with no 3D tool to operate. Because those foundations are open, contact handling, construction checks and material rules are added as code with regression fingerprints, and every solved garment records the runtime that produced it.

Print-exact and reusable

An accepted garment is saved and reused exactly. New artwork, colors and views render from that same draped garment, so a printed design stays locked to the cloth instead of being redrawn.

Garment state, not just pixels

Every garment keeps its pattern, construction and UVs as inspectable state, so design, product visuals and a manufacturing handoff all build on one source of truth.

Start with what
you want to make.

Tell us what you have and what you need back. We’ll scope the work together.

Start a project ↗

Custom delivery and developer integration are scoped separately.