AI-powered platform for smarter, greener, and more profitable Garment waste sorting.
Harness advanced AI and LLMs to identify garments suitable for resale, reducing waste and maximising value for collectors.
Our platform analyses uploaded images to extract key metadata—brand, size, defects, and condition—enabling data-driven sorting decisions.
Receive actionable recommendations for defect resolution, upcycling, or resale—streamlining operations and increasing profitability.
Revolutionising post-consumer Garment waste sorting
The Reclaim AI platform leverages advanced AI and large language models to identify garments suitable for resale, reducing waste and increasing profitability for collectors. By analyzing customer-uploaded images, the platform extracts key metadata—such as brand, size, defects, and condition—and recommends workflow actions for defect resolution or upcycling.
Identify garments suitable for resale or upcycling using advanced AI and LLMs, maximising value and reducing waste.
Extract brand, size, defects, and condition from images to enable data-driven sorting and decision-making.
Receive actionable recommendations for defect resolution, upcycling, or resale to streamline operations and boost profitability.
Extracting value from every image
Reclaim AI uses advanced computer vision and language models to analyze customer-uploaded images, extracting detailed metadata such as brand, size, defects, and condition. This automated garment analysis powers smarter, faster, and more accurate sorting decisions—maximizing recovery and minimizing waste.
Analyze customer-uploaded images to identify garment features and conditions automatically.
Automatically extract brand, size, defects, and condition to power data-driven sorting and reporting.
Enable faster, more accurate sorting and workflow recommendations based on rich garment data.