How Refiberd is Redefining Circular Fashion with AI Textile Recycling

Their technology enables rapid, non-destructive fiber detection and traceability, which supports accurate sorting, authentication, and recycling of garments ranging from recycled polyester, cotton, and blends to specialty technical textiles. How Does It Work?

Refiberd’s solution uses hyperspectral cameras and AI-trained models to scan textiles and identify material composition—even in layered or blended garments faster than manual testing techniques.

This technology forms a hyperspectral cube of hundreds of images for each sample, which the machine learning algorithm matches to thousands of samples in a proprietary library of reference spectra. Fiber Detection: Every textile waste stream is scanned, identifying composition (cotton, nylon, polyester, blends, etc.).

Contaminant Detection: The model can flag materials and impurities that prevent clean recycling or resale. Authentication/Traceability: Forensic techniques (with partners like GenuTrace) add isotope verification at the fiber’s origin, meaning trace it before you make it…