Catecut helps fashion retailers launch complete, high-quality product pages in minutes instead of hours.

Our proprietary AI understands garments from product images and automatically generates structured product data, SEO, metafields and product content, ready to publish directly into Shopify.

By automating product operations, we reduce content production costs, accelerate product launches and create consistent product information at scale.

Heiðrún Ósk Sigfúsdóttir founded Catecut after experiencing firsthand how difficult it was to scale product content while running her own fashion brand.

Today she combines expertise in fashion retail, ecommerce and AI to help retailers automate one of the most time-consuming parts of selling online.

Before founding Catecut, Heiðrún founded the sustainable fashion brand Dimmblá, worked with Magasin du Nord in Denmark researching consumer shopping behaviour, and later managed Product Information at Össur, a global leader in orthopaedics.

She holds a Master's degree in Business Administration from the University of Iceland and was recognised as Iceland Innovator of the Year at the Nordic Women in Tech Awards 2025.

Catecut combines proprietary computer vision models with generative AI to automate product content creation for fashion ecommerce.

Our proprietary AI models identify garment categories and fashion attributes directly from product images, including silhouette, fit, neckline, sleeves, waist details, fabric, colour and design features.

That structured fashion understanding is then used to automatically generate product titles, descriptions, SEO metadata, alt text, product tags and Shopify metafields.

Unlike traditional AI writing tools, Catecut starts by understanding the garment before generating content.