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Turning Fashion’s Waste into Community-Built AI and Circular Value
What we’re building: data-first capture, AI classification, at-scale category routing, and monetisation.
DATASET
Build the dataset
Standardise industrial deadstock and post-consumer apparel flows at source.
Community partners tag items with a simple prompt app (1–2 minutes: type, fibre clues, condition, trims).
Clear categories unlock scalable sorting and form the labelled dataset that powers image-assisted AI.
PLATFORM
Create the AI
Build model logic trained on community-tagged data to classify standardised apparel signals and output decision-ready signals with category routing at scale.
This gives operators (brands, recyclers, municipal sorters) a shared, consistent baseline to sort faster, cut storage/write-offs, lift routing yield, and monetise waste.
BRAND WAYste
Close the loop with WAYste
WAYste turns verified inputs into upcycled products co-created with the communities who build the dataset. Working with designers and local business support, contributors develop and launch limited lifestyle and apparel lines. WAYste creates a practical route into jobs, growth and opportunity for women and youth.
Aligned partners & pilots
Brands and retailers, recyclers and sorters, municipal teams, universities, charities, and women- & youth-led groups. If you’re building circular capacity, we’d love to talk.
Impact investors & angels
Join our SEIS/EIS-aligned round to fund data capture, model development, and early deployments.