Reverse offers an AI‑driven sorting platform that uses computer‑vision and Digital Pattern Processing to automatically identify and separate textiles by material, condition, and reuse potential. The modular system can augment manual workflows or run fully automated lines, delivering higher sorting accuracy, lower labor costs, and data analytics for feedstock valuation and regulatory compliance, enabling recyclers, second‑hand retailers, and fashion brands to maximize the value of discarded garments.
Funding
Funding not disclosed
Founders
Product
Problem
Textile waste streams are often processed manually, leading to high labor costs, inconsistent sorting accuracy, and low recovery of high‑value fibers. This hampers the ability of recyclers and recommerce operators to keep discarded garments in the value chain and meet sustainability regulations.
Solution
Reverse provides an intelligent sorting platform that combines AI‑driven computer vision with DPP‑based detection to automatically identify and separate textile items by material, condition, and reuse potential. The system can be deployed as an augmented sorting station to assist human operators or as a fully automated line for high‑throughput facilities. By continuously optimizing sorting decisions, the platform maximizes the value extracted from each collection batch and enables new second‑hand market channels. Integrated data analytics track feedstock quality and support compliance reporting for sustainability goals.
Target Audience
Primary customers are textile recyclers, second‑hand retailers, and fashion brands operating recommerce or up‑cycling programs that need efficient, high‑accuracy sorting of collected garments.
Features
- AI-powered computer‑vision algorithms that classify fabrics, colors, and garment types in real time
- DPP (Digital Pattern Processing) technology for precise detection of material composition and defects
- Modular sorting stations that can augment manual workflows or operate autonomously in conveyor setups
- Continuous learning loop that updates models based on operator feedback and downstream quality outcomes
- Exportable analytics dashboards for feedstock valuation, waste‑hierarchy reporting, and regulatory compliance