FASHN
FASHN is a London-based AI company developing proprietary generative models for fashion visualization. Its platform offers virtual try-on, product-to-model, model swap, and image-to-video tools via web app, iOS app, and REST API for fashion brands, marketing agencies, and developer teams.
- Company typePrivate
- Founded2023
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
What FASHN does
FASHN LTD is a London-based AI company founded in 2023 that develops in-house generative AI models for fashion visualization. Its platform — available as a web app (app.fashn.ai), iOS mobile app, and REST API with TypeScript and Python SDKs — offers an AI Fashion Studio comprising Virtual Try-On, Product-to-Model, Model Swap, Model Creation, Consistent Models / Face Reference, Packshot, Edit, and Short Videos (image-to-video) tools. The proprietary model stack is purpose-built for garment preservation, fit accuracy, fabric detail, and identity continuity across generated images, and is augmented by a chat-based AI Assistant that chains tools via natural language. A FASHN Skill package for coding agents (Claude Code, Codex, Cursor) enables developer-side integration of the API into third-party e-commerce stacks.
The company operates a dual product-led growth / API-first GTM targeting fashion brands, marketing agencies, photographers, creators, and developer teams. Revenue is generated through tiered app subscriptions (Basic $19, Pro $49, Agency $99, Agency 2x $199 per month with annual plans at roughly 17% discount), usage-based API access ($0.075/credit on-demand plus Tier I $19/mo, Tier II $249/mo, Tier III $1,249/mo commitment tiers), credit top-ups, and freemium onboarding (10 free credits). Billing is delivered via Stripe on web, Apple IAP on iOS (synced through RevenueCat webhooks), and Auth0 handles authentication. The platform serves SMB and enterprise customers including Pinterest, Shopify, About You, MAGGY LONDON, Flying Solo, Collart.ai, and FABA Collection, with operations spanning Europe, North America, and Asia Pacific.
FASHN is self-funded with a 10-person team, a reported $3.3M valuation, and $1.1M ARR as of a 2025 company profile. It has shipped three product launches in 2026 (iOS app, cross-platform subscriptions, coding agent Skill) while remaining bootstrapped with no disclosed external investors, parent entity, or subsidiaries. The legal entity FASHN LTD is headquartered at 71-75 Shelton Street, Covent Garden, London.
FASHN firmographics
Firmographics- Name
- FASHN
- Legal name
- FASHN LTD
- Website
- https://fashn.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- FASHN is a London-based AI company developing proprietary generative models for fashion visualization. Its platform offers virtual try-on, product-to-model, model swap, and image-to-video tools via web app, iOS app, and REST API for fashion brands, marketing agencies, and developer teams.
- Ownership category
- akta.pro rank
FASHN industry classification
Industry- Product category
- AI Fashion Visualization Software
- NAICS
- Software Publishers (513210), Software Publishers (5132), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Virtual Styling & Outfit Planning (HSACAJAF)
- akta.pro secondary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where FASHN is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices1 record
Markets served
FASHN business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- App Subscriptions: FASHN offers subscription plans (Basic, Pro, Agency, Agency 2x) with monthly or annual billing. Subscriptions include monthly credit allowances for AI generation tools. Credits are consumed based on tool type, resolution, and generation mode. Daily credits (Pro/Agency) refresh every 24 hours. Monthly credits reset at each billing cycle. Top-up credits available for purchase. Subscriptions are available via web (Stripe) and iOS app (Apple IAP).
- API Access Credits: Developer API uses credit-based pricing separate from app subscriptions. On-demand pricing at $0.075 per credit. Commitment tiers (Tier I: $19/mo, Tier II: $249/mo, Tier III: $1,249/mo) include monthly credit allowances and discounted top-up rates (10-35% off). Annual billing available at 10 months for the price of 12.
- Credit Top-Ups: Additional credits can be purchased as top-up packages. App top-ups at $0.10 per credit ($10 per 100 credits). Top-up credits expire 12 months from purchase date.
- Freemium / Free Trial: Every account includes 10 complimentary credits to try the core tools before paying. The iOS app is free to download with 10 free credits to start creating immediately.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Basic plan: $19/month with 200 monthly credits and core AI fashion tools |
| Subscription | Monthly | Pro plan: $49/month with 750 monthly credits and enhanced capabilities |
| Subscription | Monthly | Agency plan: $99/month with 1,500 monthly credits and full feature access |
| Subscription | Monthly | Agency 2x plan: $199/month with 3,000 monthly credits and double credits |
| Usage-based | Pay-as-you-go | API On-Demand: $0.075 per credit with flexible pay-as-you-go pricing |
| Usage-based | Monthly | API Tier I: $19/month with 282 monthly credits and 10% off top-ups |
| Usage-based | Monthly | API Tier II: $249/month with 4,150 monthly credits and 20% off top-ups |
| Usage-based | Monthly | API Tier III: $1,249/month with 25,594 monthly credits and 35% off top-ups |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels11 records
FASHN product offering
Product offeringCore offering
FASHN builds and sells proprietary AI software for fashion visualization, delivered through a web app, an iOS app, and a REST API. The platform generates on-model product imagery from flat-lay, ghost mannequin, or hanger photos; performs virtual try-on by transferring garments onto models; enables model swap and consistent AI model identities across campaigns; produces catalog-grade packshots; and adds motion to stills via image-to-video. Customers include fashion brands, marketing agencies, e-commerce platforms, and developers integrating virtual try-on into their applications.
Product overview
FASHN is an AI Fashion Studio offering a platform-plus-modules architecture consisting of a web app (FASHN Platform), mobile app (iOS), and REST API. The core product suite includes Virtual Try-On, Product to Model, Model Swap, Model Creation, Packshot, Edit, and Short Videos/Image to Video tools, all powered by proprietary in-house AI models. The FASHN API enables developer integration of these capabilities into third-party e-commerce and retail applications. The platform is marketed to fashion brands, marketing agencies, photographers, creators, and API teams for creating on-model product imagery, virtual fitting experiences, and fashion content for e-commerce and social media.
Differentiator
Problem solved
Functional benefit
Products and services
- FASHN Platform (Web App) Web-based AI Fashion Studio where fashion brands, marketing agencies, photographers, creators, and API teams access Virtual Try-On, Product to Model, Model Swap, Model Creation, Packshot, Short Videos, Edit, and AI Assistant tools. New accounts receive 10 free credits; subscriptions are managed via Stripe with monthly or annual billing.
- FASHN iOS App iOS mobile application that delivers the FASHN AI Fashion Studio on iPhone and iPad through a chat-based AI Assistant interface. Includes 10 free credits on download and syncs credits, Gallery, and Collections with the web platform.
- FASHN API REST API for developers to integrate FASHN's virtual try-on, product-to-model, model swap, model creation, and other AI fashion capabilities into third-party e-commerce and retail applications. Offers credit-based pricing (on-demand at $0.075/credit and Tier I-III commitment plans), official TypeScript and Python SDKs, and the FASHN Skill for coding agents.
- FASHN Skill for Coding Agents Developer integration package installed via skills.sh that teaches coding agents (Claude Code, Codex, Cursor) how to integrate FASHN's REST API, TypeScript SDK, and Python SDK into customer projects, providing context on endpoints, prediction lifecycle, polling, and webhooks.
Quantifiable outcome
- Customer satisfaction scores jumped 47% in two weeks after integrating FASHN's virtual try-on technology
- +1 more outcomes
Companies that use FASHN
Customer profileNamed customers12 records
Segments4 records
Ideal customer profiles3 records
FASHN technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability8 records
Feature9 records
FASHN partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- RevenueCatcoreRevenueCat manages FASHN's iOS app subscriptions including receipt validation, subscription state APIs, and webhook lifecycle events (purchases, renewals, cancellations, expirations, product changes). FASHN uses RevenueCat webhooks to sync subscription data with their backend and act on credit-related events.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
FASHN competitors and assessment
Company assessmentEmerging players
- Threekit: Threekit offers 3D product visualization and configurators for fashion and apparel brands, with overlapping use cases (catalog imagery, e-commerce visualization) but a different technical approach (3D rendering vs. 2D generative AI).
- Vntana: Vntana provides 3D and AR visualization for fashion brands, including virtual try-on experiences for e-commerce. It competes for some of the same retailer budget as FASHN but emphasizes 3D/AR rather than AI-generated 2D imagery.
- Style.me: Style.me delivers virtual fitting room and AI styling solutions for fashion e-commerce, overlapping with FASHN's Virtual Fitting Rooms solution and Try-On API for retailers and platforms.
Direct peers
- ZMO.ai: ZMO.ai provides AI fashion models and on-model imagery generation tools for apparel brands, with comparable product-to-model and AI fashion photography capabilities serving the same SMB and mid-market fashion customer base as FASHN.
- Lalaland.ai: Lalaland.ai generates AI fashion models for e-commerce, allowing retailers to showcase products on synthetic diverse models — a direct competitor to FASHN's Model Creation, Model Swap, and Product to Model capabilities.
- Revery.ai: Revery.ai offers a virtual try-on SDK and APIs for fashion e-commerce, directly comparable to FASHN's REST API and Try-On module targeting retailers integrating try-on into shopping flows.
- Botika: Botika provides AI-generated fashion photography and on-model imagery for apparel brands and Shopify merchants, competing head-to-head with FASHN on Product to Model and catalog-grade packshot generation.
- Vue.ai: Vue.ai is an AI platform for fashion retailers covering product tagging, personalization, and visual try-on, directly competing with FASHN's product-to-model and on-model imagery workflows for fashion brands and e-commerce platforms.
Broad incumbents
- Adobe (Firefly / Substance): Adobe Firefly and the broader Creative Cloud suite provide generative image creation, retouching, and content production tools that fashion brands use today. Adobe's investment in generative AI for product imagery and its enterprise install base make it a long-term competitive threat to FASHN.
- Google (Vertex AI / Shopping): Google's Vertex AI and Shopping tools include generative imagery and virtual try-on research applied to fashion e-commerce. While not a fashion-specialized product, Google's distribution and pricing power position it as a potential competitor for API-driven virtual try-on workloads.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
FASHN social profiles
Digital presenceFASHN financial estimates
Financial estimateRevenue estimate
Valuation estimate
FASHN leadership team
Management profileNumber of profiles
FASHN funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
FASHN M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about FASHN
What does FASHN do?
FASHN builds and sells proprietary AI software for fashion visualization, delivered through a web app, an iOS app, and a REST API. The platform generates on-model product imagery from flat-lay, ghost mannequin, or hanger photos; performs virtual try-on by transferring garments onto models; enables model swap and consistent AI model identities across campaigns; produces catalog-grade packshots; and adds motion to stills via image-to-video. Customers include fashion brands, marketing agencies, e-commerce platforms, and developers integrating virtual try-on into their applications.
Is FASHN a public or private company?
FASHN is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was FASHN founded?
FASHN was founded in 2023. It employs 11 to 50 people.
Where is FASHN based?
FASHN is headquartered in London, United Kingdom, in the Europe region.
How does FASHN make money?
Four revenue lines are on record. App Subscriptions are the primary driver. The others are API Access Credits, credit Top-Ups and freemium / Free Trial.
Who are FASHN's main competitors?
Emerging players on record are Threekit, Vntana and Style.me. Direct peers are ZMO.ai, Lalaland.ai, Revery.ai, Botika and Vue.ai. Broad incumbents are Adobe (Firefly / Substance) and Google (Vertex AI / Shopping).
Does FASHN have an API?
Yes. REST API for integrating FASHN's virtual try-on, product-to-model, model swap, model creation, and other AI fashion tools into third-party applications. Supports webhook notifications, polling for prediction status, and server-side-only integration with API key authentication. Credit-based pricing with on-demand and commitment tier options. Developer documentation is at docs.fashn.ai.
What industry is FASHN in?
FASHN's product category is AI Fashion Visualization Software. Its primary akta.pro industry code is HSACAJAF, Virtual Styling & Outfit Planning, with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 513210 and its SIC code is 7372.