Dressipi

What Dressipi does

Dressipi (legal entity StyleMania Ltd) is a London-based B2B SaaS company founded in 2011 that sells an API-first personalization platform to fashion apparel retailers. Its core technology combines computer vision, text classification, and human stylist labeling to tag each garment with up to 50 fashion-specific attributes (versus a retail-typical ~7), feeding a recommendation engine and an outfit-generation system capable of producing 10-100 million outfit combinations per retailer per night. The proprietary Fashion Fingerprint technology builds per-customer style profiles that power real-time personalization across product listing pages, product detail pages, email, and in-store channels.

The platform is delivered via headless APIs that integrate with retailers' existing e-commerce stacks, ESPs, and product feeds, and addresses three retailer pain points: generic personalization that ignores fashion-specific context (seasons, occasions, body shape, trends), poor product data quality, and returns rates running at 30-40% for the industry. The company monetizes through enterprise SaaS subscriptions sold via a consultative, demo-led sales motion targeting fashion retailer decision-makers; pricing is quote-based and not publicly disclosed.

Dressipi serves predominantly enterprise and mid-market fashion retailers including John Lewis, River Island, Country Road Group, House of Bruar, Belstaff, LK Bennett, Evans, City Chic, Pentland, Hush, Jigsaw, Seasalt Cornwall, and Avenue, with deployments spanning the UK, Australia, continental Europe, and the UAE. In March 2023 the company raised £3 million led by Angel Academe to fund UK expansion and US entry, and in 2025 it was acquired by Mapp Digital UK Ltd, integrating its AI capabilities into Mapp's marketing cloud portfolio.

Name

Dressipi

Legal name

StyleMania Ltd

Website

https://dressipi.com

Company type

Private

Founded year

2011

Operating status

Operating

Headcount range

11–50 employees

Short description

Dressipi is a London-based SaaS platform that provides fashion-specific AI personalization, including deep product attribute tagging, recommendation, and outfit generation, to enterprise apparel retailers via headless APIs.

Ownership category

akta.pro rank

Product category

Retail Personalization Software

NAICS

Clothing and Clothing Accessories Retailers (458110), Clothing, Clothing Accessories, Shoe, and Jewelry Retailers (458), Clothing and Clothing Accessories Retailers (4581)

SIC

Retail-Apparel & Accessory Stores (5600), Retail-Women's Clothing Stores (5621), Retail-Family Clothing Stores (5651)

akta.pro primary industry

Virtual Styling & Outfit Planning (HSACAJAF)

akta.pro secondary industries

Sustainable/Ethical Shopping & Capsule Wardrobe Building (HSACAJAL), Fashion & Accessories Marketplaces (CRAFABAA)

Keywords

• Fashion personalization platform
• Product recommendation engine
• Outfit recommendation software
• Apparel retail AI
• Automated product tagging

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Platform Subscription: Dressipi provides its personalization platform to fashion retailers on a subscription basis. Retailers pay for access to the platform's product tagging, recommendations, and outfit generation capabilities. The company delivers solutions for product discovery, product experience, and returns reduction.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels7 records

Core offering

Dressipi provides a fashion-specific AI personalization SaaS platform that delivers automated product tagging with up to 50 fashion-specific attributes per garment, intent-driven personalized product recommendations across product listing pages, product detail pages, homepages and search, and personalized outfit recommendations generated at scale (up to 100 million outfits per night). The platform is built on a proprietary Fashion Fingerprint customer profiling technology and is delivered via a headless, API-first architecture that integrates with retailers' existing e-commerce platforms, email service providers, in-store systems, and apps.

Product overview

Dressipi is a fashion-specific personalization SaaS platform offering three core integrated solutions: Product Tagging (automated garment attribute tagging with up to 50 features per product), Product Recommendations (intent-driven personalized product discovery across PLP, PDP, and homepage), and Outfit Recommendations (personalized outfit styling by occasion at scale). The platform is built on a proprietary Fashion Fingerprint technology that creates individual customer style profiles. All solutions are delivered via headless APIs that integrate with retailers' existing tools (e-commerce platforms, ESPs, in-store systems). The platform was acquired by Mapp Digital in 2025, expanding into Mapp's marketing cloud portfolio.

Differentiator

Problem solved

Functional benefit

Products and services

• Product Tagging Automated product tagging solution that tags each fashion product with up to 50 fashion-specific attributes (vs typical 7) using a combination of computer vision, text classification, image recognition and human expert stylist labeling to achieve 99% accuracy. Provides a consistent source of accurate product data usable throughout the retail business, targeting fashion retailers.
• Product Recommendations
• Outfit Recommendations
• Dressipi Platform

Quantifiable outcome

• Revenue per Visitor increase of 4-6%
• +10 more outcomes

Named customers14 records

Segments2 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature5 records

Partnerships

One partnership is on record.

• MappcoreStrategic or Co-development PartnerMapp acquired Dressipi, combining Mapp's marketing cloud expertise with Dressipi's fashion-specific AI personalization capabilities. This acquisition creates a comprehensive AI-powered solution for fashion and retail.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Lily AI: Lily AI applies fashion-specific AI to attribute tagging, demand forecasting, and personalized shopping experiences for apparel retailers. It is a direct competitor in the fashion-AI personalization layer.
• Vue.ai: Vue.ai is a vertical AI platform for fashion retailers, offering product tagging, visual search, outfit recommendations, and personalization. It is one of the closest direct competitors to Dressipi in fashion-specific AI.
• Nosto: Nosto is a personalization platform purpose-built for e-commerce retailers, including fashion brands. It offers product recommendations, personalized content, and on-site personalization, directly overlapping with Dressipi's core offering.
• Syte: Syte provides visual AI and personalization for fashion and apparel retailers, including automated product tagging, similar item recommendations, and outfit discovery. It is a direct competitor to Dressipi's product tagging and recommendation modules.
• RichRelevance (Algonomy): Algonomy (formerly RichRelevance) provides personalization and merchandising solutions with strong penetration in fashion retail. It directly competes on product recommendations and customer personalization.

Emerging players

• Klevu: Klevu offers AI-powered search and merchandising for e-commerce, with fashion retailers among its core segments. It overlaps with Dressipi on product discovery and personalized recommendations.
• Yofi (formerly Fitiquette): Yofi provides AI-powered outfit recommendations and style personalization for fashion e-commerce, focusing on cross-sell through curated outfit pairings. It overlaps with Dressipi's outfit recommendation module.

Broad incumbents

• Constructor.io: Constructor.io provides AI-driven search, browse, and personalization APIs for e-commerce, with fashion as a key vertical. Its product discovery capabilities overlap with Dressipi's PLP/PDP personalization.
• Algolia: Algolia provides AI-powered search and personalization APIs for retailers and digital businesses, including apparel and fashion. While broader and more horizontal than Dressipi, it competes directly on product discovery and recommendation experiences in fashion e-commerce.
• Dynamic Yield: Dynamic Yield (acquired by Mastercard) provides algorithmic personalization, product recommendations, and testing for retail and fashion clients. It serves a horizontal market but directly overlaps with Dressipi's recommendation engine functionality.

Market position

Strengths1 record

Weaknesses1 record

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/dressipi
• LinkedInlinkedin.com/company/dressipi

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds3 records

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Dressipi