what we do

About Enstyle

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.

10M+
Products analysed
Across collections, seasons, and markets, covering attributes, pricing, depth, and performance signals.
1000s
Signals tracked daily
From fashion media, runways, search behaviour, and social conversation across global markets.
100s
Brands monitored
Including market brands, aspirational labels, and specialist players across categories and regions.
10+
Team members
Across fashion, retail, data science, and AI engineering, combining industry experience with technical depth.
Our mission

We give creatives back time to create

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.

Black t-shirt with a small white abstract logo on the chest hanging on a wooden hanger in a dimly lit room.
OUR BELIEFS

The beliefs that guide how we build and operate

Enstyle is built on a clear set of beliefs about how fashion technology should serve the industry. They guide how we design, how we work with brands, and how we think about the role of AI in fashion planning.

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Clarity over complexity
Fashion teams do not need more dashboards. They need clarity. Tools that add layers of explanation without enabling decisions are part of the problem. Insight should be direct, actionable, and impossible to misinterpret.
Evidence beats opinion
Too many planning decisions are still driven by siloed information and internal politics. When teams work from different versions of reality, outcomes suffer. Decisions should be grounded in shared signals, data, and context, not hierarchy or habit.
Innovation must earn its place
Technology that looks impressive but does not survive real planning workflows is not innovation. If it cannot be used under time pressure, across teams, and at scale, it does not belong in fashion planning.
Creativity needs protection
Creativity breaks down when talented teams spend their time cleaning data and defending assumptions. AI should eliminate mechanical work and friction — not interfere with taste, instinct, or creative judgment.
No black boxes
Blind trust is not trust. If teams cannot understand how insight is produced, they should not be expected to act on it. Decisions deserve transparency, traceability, and the ability to be challenged.
Progress should compound
Starting every season from zero is negligence. Planning should begin with the lessons already paid for, learning from what worked, what failed, and where structural mistakes were made. Progress should compound, not repeat.
leadership

The people behind Enstyle

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.

Alice Clarke

Alice Clarke

Trend Analyst

Trend Analyst

Anton Pershin

Brings over 15 years of experience at the intersection of fashion, technology and data science, including leadership roles in international corporations and startups.

Eric Prengel

A seasoned fashion executive with 25 years of experience scaling global brands, combining operational leadership with deep understanding of merchandising and retail complexity.

Alina Veselaya

A trends and marketing specialist with a decade of experience shaping fashion narratives, consumer insight, and brand strategy across media, platforms, and cultural analysis.

Milan Jose

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.

FASHION RESEARCH PARTNERSHIPS

Supporting the next generation of fashion creatives

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.

Logo of University of the Arts London with 'ual:' in large bold letters and 'university of the arts london' in smaller text to the right.POLIMODA logo with the text: Center for Fashion Education and Research.University of Westminster wordmark logo in black.Bocconi University logo featuring a stylized circular emblem and the text 'Bocconi University' in a vertical layout.Missouri State University wordmark logo in dark red.Map highlighting East Anglia region in Eastern England in dark blue, with surrounding areas in light blue showing London, South East England, East Midlands, and the North Sea.Text logo reading 'Norwich University of the Arts' composed of black geometric shapes on a white background.White letters spelling NABA on a black background.Blue circle with white letters 'FIT' and text 'Fashion Institute of Technology State University of New York' on the right.

Internship opportunities

We offer internship roles across research and engineering for those looking to gain hands-on experience at the intersection of fashion and AI, with the potential to grow into full-time roles as the team evolves.

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