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Faddit

Artificial Intelligence & Machine Learning (AI/ML) Software as a Service (SaaS)
Founded
2025
CEO
Sung-rak Choi
Headquarters
Korea

Company Overview
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Faddit provides a cloud-based SaaS platform that digitalizes fashion design-to-production workflows. By connecting design sketches, technical drawings, patterns, and production orders in a unified workspace, it eliminates communication errors between fashion brands and factories, reducing sample remaking costs and fabric waste.

Technology & Product
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Faddit is developing an AI fashion production workflow platform. The system can turn vector sketches into CAD pattern outputs and help prepare tech packs, flats, and production documents.

The product direction also includes 2D and 3D review, fabric selection, and production request workflows. These functions are useful when small brands need to move from idea to sample without a large in-house production team.

Market & Use Cases
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Faddit is relevant for independent designers, small fashion brands, pattern makers, and sewing factories. It can support small-batch production, sample development, and digital handoff between design and manufacturing.

The company also connects to the Dongdaemun production ecosystem, where many small factories need clearer digital production data.

Traction & References
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Faddit was selected for the Ministry of SMEs and Startups TIPS program in November 2025.

The company is taking preorders and is building around a network of Dongdaemun sewing factories. The team is using ClimateLaunchpad to connect fashion production automation with lower waste and circular fashion goals.

Collaboration Relevance
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Faddit can work with fashion brands, CAD software partners, textile suppliers, sewing factory networks, and sustainability programs. A useful PoC would test whether the software reduces sample-production time and miscommunication between designers and factories.

For Korea-Europe collaboration, Faddit may fit small-batch production, local manufacturing networks, and fashion supply-chain digitization.