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.

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Different ways to get the work done

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 ↗

The difference is how you work

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 ↗

Your garment. Your workflow.

Start with what
you want to make.

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

Request access ↗

Custom delivery and developer integration are scoped separately. Public SDK examples demonstrate the workflow contracts; they are not the connected production service.