Skip to main content
Visit our stand at Web Summit in Lisbon, 9 to 12 November 2026

About us

Made in Frankfurt: The company and the team behind mixNmatch

mixNmatch builds an AI styling and product discovery engine for fashion brands and retailers in Europe, and runs its own AI fashion platform for shoppers on the same engine.

The company behind mixNmatch is co-fashion UG (haftungsbeschränkt) in Frankfurt am Main, Germany.

The facts

Company
co-fashion UG (haftungsbeschränkt)
Brand
mixNmatch
Location
Frankfurt am Main, Germany
Team
Kseniya Dockhorn, Founder & CEO; Pankaj Lele, CTO
What we offer
Product data, looks and try-on, and personalisation for fashion e-commerce, as a Shopify app or through our REST API; consulting and custom development
Markets
Germany, Austria and Switzerland (DACH) first, then neighbouring EU markets
Hosting
App and data hosted in the EU; AI sub-processors are listed in the DPA (available on request).
Contact
support@mixnmatch.app

Who we are

Led by a team of experienced fashion e-commerce, AI and digital transformation professionals. Meet our CEO and CTO: Kseniya Dockhorn and Pankaj Lele.

  • Kseniya Dockhorn

    Founder & CEO

    Kseniya founded mixNmatch to bring a good stylist’s advice to every product of a fashion catalogue. She has 15+ years in business development, lean operations and digital transformation, including strategic consulting as an operations expert at McKinsey. Before mixNmatch she founded a circular fashion label for 3D-knit handbags, so she knows fashion from product and production to selling. She initiated the Frankfurt Fashion Meetup.

    Expertise

    • Fashion e-commerce and product discovery: why keyword and filter search fails shoppers, and what it costs in conversion, basket size and returns
    • Applied AI in retail: catalogue intelligence, outfit search, personalisation, try-on and visibility in AI assistants
    • Operations and transformation: structured problem-solving and getting large organisations to adopt new processes

    Recognition

    • Women TechEU winner 2025, among 40 female deeptech founders in the EU
    • Top 5 Startup of the Year, DMEXCO 2025
    • Nominated for the K5 Commerce Award 2026 (Customer Experience & Design Excellence)
    • Earlybird VisionLab alumna

  • Pankaj Lele

    CTO

    Pankaj leads AI and full-stack engineering at mixNmatch with an international team in Frankfurt am Main. He builds the engine behind product data, looks, search and try-on, and the way it connects to shops through the Shopify app and our REST API.

Awarded and supported

Recognised by juries, backed by programmes for innovation in Germany and Europe.

  • K5 Commerce Award 2026

    K5 Commerce Award 2026

    Nominated

  • Women TechEU

    Women TechEU

    Winner

  • DMEXCO 2025

    Top 5 Startup of the Year

Funded and supported by

  • Funded by

    Bundesministerium für Wirtschaft und Energie

    on the basis of a decision by the German Bundestag

    Bundesministerium für Wirtschaft und Energie

    IGP innovation programme

    Innovationsprogramm für Geschäftsmodelle und Pionierlösungen

  • PUSH! Stipendium Hessen

    PUSH! Stipendium Hessen

    Scholarship 2025

  • Earlybird VisionLab

    Earlybird VisionLab

  • hessian.AI

    hessian.AI

  • Frankfurt University of Applied Sciences

    Frankfurt University of Applied Sciences

    Center for Entrepreneurship

  • EY Startup Academy

    EY Startup Academy

  • Accelerator Frankfurt

    Accelerator Frankfurt

  • Gründungswettbewerb Digitale Innovationen

    Gründungswettbewerb Digitale Innovationen

  • Stoff im Kopf Textil.Accelerator

    Stoff im Kopf Textil.Accelerator

In the press

18 mentions

Events

Meet us at Web Summit, Lisbon (9 to 12 November 2026).

Seen at DMEXCO, K5, AI Everything, AI Week Frankfurt, A!-Day.

Media contact

Logos, product pictures, portraits and background on mixNmatch: tell us what you need and for which story.

support@mixnmatch.app

Latest news

Follow us on LinkedIn

News from the team, new building blocks, events and what we learn about styling and discovery in fashion.

Follow mixNmatch (opens in a new tab)

Common questions

What exactly is mixNmatch?

mixNmatch is an AI styling and product discovery engine for fashion e-commerce, made by co-fashion UG (haftungsbeschränkt) in Frankfurt am Main. It enriches product data, builds complete looks from a shop’s own catalogue for product pages, the cart, search and CRM, shows them on AI models or on the shopper’s own photo, and personalises styling for each customer. Fashion brands and retailers in the DACH region and across Europe get it as a Shopify app or through a REST API, with consulting and custom development on request.

Who is behind mixNmatch?

A team of experienced fashion e-commerce, AI and digital transformation professionals: a FashionTech AI solution provider from Frankfurt, supported by hessian.AI, Earlybird VisionLab, the IGP innovation programme of the Federal Ministry for Economic Affairs and Energy and EU programmes, with Frankfurt University of Applied Sciences as research partner.

Which languages do you support?

German and English.

Your catalogue,
styled

Tell us about your shop and your KPIs. We prepare your offer and a demo on your own product pages, ready within 1 day.

Get your offer & demo Send a request

support@mixnmatch.app LinkedIn (opens in a new tab)