Enstyle is an AI-powered fashion intelligence platform that helps brands make better planning decisions earlier. By connecting trend signals, consumer behaviour, market adoption, and past performance, it supports designers, merchandisers, and buyers in shaping clearer, better-balanced collections before decisions are locked into the line.
Enstyle’s mission is to change how planning is done by removing manual, repetitive work that slows teams down and adds little creative value. By automating what is mechanical, designers, merchandisers, and buyers gain time and clarity to focus on the decisions that truly matter.

Our team brings together fashion practitioners, data scientists, and engineers who share a deep understanding of how collections come together. This mix allows us to build technology that fits naturally into fashion workflows, supporting real decisions rather than abstract ideas.
Trend Analyst
A seasoned fashion executive with 25 years of experience scaling global brands, combining operational leadership with deep understanding of merchandising and retail complexity.
A founding engineer with 15 years of experience building and scaling technology products, including venture-backed platforms, translating complex systems into reliable, usable AI tools.
We collaborate with fashion universities to rethink how fashion products are designed and planned. By combining academic perspective with industry expertise and the art of what is possible in technology, we experiment with new practices and learning experiences that reflect where fashion is heading.