Persi

What Persi does

Persi is a B2B2C consumer technology company that provides an AI-powered outfit recommendation "Style Sidekick" for fashion ecommerce retailers. Founded in 2024 and headquartered in Edinburgh, Scotland, the company sells to fashion retailers via an enterprise sales motion (with a "Book a Demo" call-to-action), who then embed Persi's widget on their ecommerce sites through a Shopify app or custom integration. End consumers — online fashion shoppers — interact with the service free of charge at the point of browsing partner retailer sites, without redirects or required sign-up.

The underlying technology combines multimodal AI (computer vision on uploaded wardrobe images, text-based style quiz processing) with a Neo4J-backed style knowledge graph to build per-shopper profiles that capture not only purchase history but the customer's actual wardrobe composition and individual style preferences. Automated product catalogue processing enables Persi to tag retailer inventory without manual retailer data preparation, and a proprietary checkout-ID system tracks referred purchases to attribute commissions. Core features include a wardrobe analysis engine, complete outfit recommendations (rather than individual product suggestions), and a cross-retailer style profile that travels with the shopper across any Persi-partnered retailer. The infrastructure runs on AWS and Google Cloud Platform, with PostHog providing anonymous analytics.

Persi monetises exclusively through a transaction-based revenue model, earning commission on purchases that originate from its recommendations. The service is free to shoppers; retailers pay only on performance, with no upfront or fixed fees. Currently the platform is live with three fashion retail partners — Oh Polly, Wild Swans, and Chinti & Parker — and the company has raised £660,000 in seed funding (mid-2025) from investors including Haatch and ESM Investment Ltd. Headcount is in the 1–10 range, with co-founder Liv Parkes (CEO, brand strategist with 15+ years at Reiss, House of Fraser, Monica Vinader, Missoma) and Matt Deakins (CTO, 15+ years building global SaaS platforms) leading the company.

Name

Persi

Legal name

Your Persi Limited

Website

https://yourpersi.com

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Persi is an Edinburgh-based B2B2C AI platform that embeds a "Style Sidekick" widget on fashion ecommerce sites to deliver wardrobe-aware, personalised outfit recommendations; it sells to fashion retailers via commission and serves online fashion shoppers for free.

Ownership category

akta.pro rank

Product category

Fashion Ecommerce Personalisation Software

NAICS

Clothing and Clothing Accessories Retailers (458110)

SIC

Retail-Apparel & Accessory Stores (5600)

akta.pro primary industry

Virtual Styling & Outfit Planning (HSACAJAF)

akta.pro secondary industries

Wardrobe Styling & Closet Curation (HSACAJAA), Shopper & Retail Insights (In-Store/Path-to-Purchase, Category Insights) (MPAAALAJ)

Keywords

• Ai outfit recommendations
• Ecommerce personalisation software
• Shopify personalisation app
• Fashion recommendation engine
• Wardrobe-aware styling

Headquarters

HQ city

Edinburgh

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Commission on Referred Purchases: Persi earns a commission when shoppers purchase products that were recommended by the Persi platform. This is a performance-based revenue model where the company is paid per transaction that originates from its recommendations. The Terms of Service explicitly state this is how Persi tracks referrals and receives commission from retail partners.

Pricing tiers

Go-to-market motion1 record

Distribution channels3 records

Marketing channels5 records

Core offering

Persi provides an AI-powered outfit recommendation "Style Sidekick" widget that embeds directly into fashion ecommerce retailer websites, where it analyses each shopper's uploaded wardrobe images, style quiz responses, and purchase history to generate real-time, personalised complete-outfit recommendations that complement items the customer already owns. The platform integrates via a plug-and-play Shopify app or custom integration, automatically processes retail partner product catalogues without manual data preparation, and tracks referred purchases via a unique checkout ID system for commission settlement.

Product overview

Persi is a single unified product — an AI-powered outfit recommendation 'Style Sidekick' that integrates directly into partner retailer websites via a widget. The platform combines user wardrobe images, style quiz responses, and purchase history to generate personalised outfit recommendations that complement what customers already own. Persi is offered free to shoppers while monetising through commission from retailer partners when customers purchase recommended items.

Differentiator

Problem solved

Functional benefit

Products and services

• Persi Style Sidekick An AI-powered outfit recommendation platform branded as the shopper's 'Style Sidekick' that lives directly on retailer ecommerce sites. It builds a profile of each shopper using their individual wardrobe, preferences and needs to serve personalised, complete outfit recommendations in real time. Offered free to shoppers; monetised via commission on purchases made through the widget.
• Persi for Retailers The retailer-facing integration of the Persi platform, delivered as an embeddable widget (Shopify app or custom integration) that automatically processes the retailer's product catalogue and serves personalised outfit recommendations to shoppers on the retailer's own ecommerce site, with checkout ID-based commission tracking for referred purchases.

Named customers3 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature6 records

Partnerships

Eight partnerships are on record, tiered flagship, core and supporting.

• Oh PollyflagshipChannel Partner/ Reseller/ DistributorOh Polly is a live retail partner where Persi's personalised outfit recommendation widget is embedded directly on the retailer's website. Oh Polly customers can access Persi's 'Style Sidekick' service to receive wardrobe-aware outfit recommendations when shopping on the Oh Polly site.
• Wild SwansflagshipChannel Partner/ Reseller/ DistributorWild Swans is a live retail partner where Persi's personalised outfit recommendation widget is embedded directly on the retailer's website. Wild Swans customers can access Persi's 'Style Sidekick' service to receive wardrobe-aware outfit recommendations when shopping on the Wild Swans site.
• Chinti & ParkerflagshipChannel Partner/ Reseller/ DistributorChinti & Parker is a live retail partner where Persi's personalised outfit recommendation widget is embedded directly on the retailer's website. Chinti & Parker customers can access Persi's 'Style Sidekick' service to receive wardrobe-aware outfit recommendations when shopping on the Chinti & Parker site.
• ShopifycoreTechnology or IntegrationShopify powers Persi's online platform and facilitates integration with retail partners. Persi offers a Shopify app that enables plug-and-play installation for Shopify-hosted retailers with minimal dev work required.
• Amazon Web Services (AWS)coreTechnology or IntegrationAWS provides infrastructure and hosting support to help maintain the security, availability, and performance of Persi's platform. AWS is used for cloud infrastructure services.
• Google Cloud PlatformcoreTechnology or IntegrationGoogle Cloud Platform is used for cloud hosting, model training, data storage, data processing and computing services to host and manage Persi's systems and customer data.
• Neo4JcoreTechnology or IntegrationNeo4J is used for storing knowledge to provide style recommendations and deliver Persi's services. The graph database is used for managing the style knowledge graph that powers recommendation logic.
• PostHog AnalyticssupportingTechnology or IntegrationPostHog Analytics is used for understanding platform usage and making improvements. Persi uses PostHog for anonymous analytics capturing usage behaviour (clicks, time on task) in anonymous mode without personal identifiers or cross-session tracking.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Granify: E-commerce conversion optimisation using behavioural AI for fashion and apparel retailers. Sells into the same fashion retailer buyer with complementary personalisation value proposition.
• Vue.ai: AI personalisation and styling platform for fashion retailers offering outfit recommendations, visual search, and catalog tagging. Most directly comparable as a B2B AI fashion personalisation layer competing for the same retailer customers.
• Lily AI: AI platform for fashion and home retailers focused on product attributes and personalised recommendations. Direct competitor in retailer-facing AI personalisation with similar B2B2C motion.
• FindMine: Automated outfit completion and styling recommendations for fashion retailers. Closest functional analogue to Persi's complete-look recommendation engine and serves the same retailer buyer.
• Syte: Visual AI for fashion retailers including visual search, recommendation, and personalisation. Competes directly with Persi for retailer personalisation budgets via similar AI-on-catalogue technology.
• Stylumia: AI-driven demand forecasting and style intelligence for fashion brands and retailers. Adjacent but overlaps on style profiling and recommendation insights for retail buyers.

Broad incumbents

• Stitch Fix: Data-driven personal styling service combining human stylists with algorithms. Comparable on the styling algorithm concept but operates as a D2C retailer rather than a B2B layer for retailers.
• Shopify (Shop App & Shop Pay): Persi's primary distribution channel and potential competitive threat via Shop App personalisation features. Comparable as it increasingly bundles AI personalisation into its commerce platform that Persi depends on for distribution.

Emerging players

• Whering (UK): UK-based digital wardrobe app that catalogues users' existing clothing. Closest competitor on the shopper-side wardrobe data layer that Persi's cross-retailer profile aims to provide.
• Acloset: AI-powered digital wardrobe and outfit recommendation app for consumers. Comparable on the wardrobe-aware styling concept from a consumer-facing angle rather than a B2B2C retail integration.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/yourpersi

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

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 Persi