Our mission

The fitting room has always been the worst part of shopping.

We built Shoppermo to solve that, and to solve why the best deals are so hard to find when they're right around the corner. AI try-on that actually looks like you. Local deals sorted by how far you need to walk.

The people building it.

Two co-founders with complementary depth: one in business architecture and backend systems, one in product design and engineering. Both with prior startup exits and the credibility that comes from actually having done it before.

CEO & Co-Founder
Mohsen Ghods
Business Architecture · Backend · Strategy

12 years of startup founder experience across three ventures (1 exit). MSc in Entrepreneurship, Innovation, and Technology from University of Strathclyde. MBA from IUST. BSc in Industrial Engineering. Understands both the commercial and technical architecture required to scale from zero to product-market fit. Both co-founders hold UK Innovator Founder Visa endorsement.

3rd Time Founder 1 Exit Strathclyde MSc Innovator Founder Visa
CPO & Co-Founder
Farzin Pezeshgi
Product Design · Frontend Engineering

10 years of product design experience across successful startups and established companies. Former design lead at Iran's first insurance technology company. BSc in Computer Engineering. Brings deep engineering foundations combined with a relentless focus on user experience and product coherence. Both co-founders hold UK Innovator Founder Visa endorsement.

BSc Computer Engineering 10 Years Product Design Former Design Lead Innovator Founder Visa
Powered by Gemini

Built on Gemini. Designed for production.

Magic Studio, Shoppermo's image generation engine, runs on Google Gemini as its primary model for photorealistic virtual try-on, multimodal product analysis, and 768-dimensional semantic search. The pipeline orchestrates more than ten generative AI models across leading labs using intelligent fallback routing, concurrent worker queues, and a background embedding processor that keeps every product discoverable by meaning, not just keyword.

300 /min Image generations today
10+ Generative AI models
768 Embedding dimensions

AI technology partners include

Google Gemini
xAI
OpenAI
+ more
Built for Google Cloud. Shoppermo's architecture is fundamentally native to Gemini: image generation, taxonomy classification, semantic search, CMO campaign writing, and CRM intelligence all flow through Gemini's API. We've automated Batch API indexing for merchant catalogues at scale, with intelligent fallback routing and automatic rate-limit management. All search uses 768-dimensional pgvector embeddings generated via Gemini, keeping the product semantic-rich at every layer. Moving to Vertex AI consolidates this on a single platform: no third-party proxies, native Gemini orchestration, and Cloud Run workers tuned for our exact workload.

From shop floor to campaign in seconds

Same garment. Completely different story.

A merchant photographs the dress on their shop mannequin. Magic Studio takes that source and generates a full editorial campaign. No photographer, no model booking, no studio: just the garment, the pipeline, and results in seconds.

What the merchant has
Gold pleated dress on a shop mannequin in a store display, the kind of product photo most independent retailers have available
The shop display photo. A garment on a mannequin, ambient shop lighting, smartphone camera. This is the source: exactly what most independent retailers have available today.
✦ Magic Studio output
Magic Studio output: same gold dress, now on a dynamic editorial model at the Shoppermo Studio with professional lighting and brand presence
Campaign-ready. In seconds. Same dress, now editorial. Dynamic model, Shoppermo Studio environment, professional lighting, brand presence. Ready for product pages, social, and campaigns at near-zero cost per image.
Photography Engine

Gemini is the foundation.
Our pipeline is the product.

Commercial photography has always been expensive, slow, and inaccessible to most independent retailers. A single professional shoot can cost thousands of pounds. Editing, reshooting failed looks, booking models and studios: these aren't luxuries most high-street businesses can afford at scale.

Shoppermo solves this with an industrial-grade AI photography engine built on Google Gemini's latest multimodal models. Gemini provides the foundational understanding of fabric, fit, body geometry, and scene context. Our proprietary pipeline layers on top: pose direction, product composition, brand voice, contextual scene building, and automated quality validation, turning a raw model API call into output that is ready for product pages, campaigns, and social without a retoucher.

For shoppers, this means answering the real question before they ever visit a store: does this look good on me? The size might still need trying, but the look is half the decision. Shoppermo lets you discover clothes that suit you, see them on your body, and walk into the shop knowing exactly what you want. For retailers, it means studio-quality imagery at near-zero marginal cost: more products listed, better photography, and higher conversion without a photographer on payroll.

As Gemini's models improve, every generation mode in Magic Studio improves automatically. Our architecture is designed to absorb capability gains from the model layer without re-engineering the pipeline above it.

Google Gemini as the foundational model. Every generation mode in Magic Studio: Try-On, Editorial, Ghost Mannequin, Lifestyle, and ten others. All built on Gemini's multimodal understanding as the primary inference layer, with intelligent fallback routing to other leading models for resilience and quality assurance.
~30%
of online clothing orders are returned, most often because the item simply looked different than expected. Try-on shows you reality before the purchase.
£0
studio, model, or photographer cost for retailers using Magic Studio
14+
generation modes: Try-On, Ghost Mannequin, Editorial, Lifestyle, Background, and more
1 photo
is all a shopper needs to see how any garment looks on their own body
Person · Product · Place

Set up once.
Generate forever.

Every Magic Studio generation is the combination of three things: a person (who is wearing it), a product (what is being worn), and a place (where the scene is set). All three are persistent: saved, named, and reused across every composition you ever make.

Person
The Avatar
A persistent AI model: either the shopper's own likeness, a merchant's brand model, or a platform-curated figure. Baked across seven poses from a single photo session, then reused forever.
Product
The Garment
The item to be photographed: uploaded once, indexed by the platform, described by AI, and available for infinite generation combinations across any avatar and any space.
Place
The Space
The backdrop, environment, and aesthetic setting for every image. A merchant's signature studio look. A lifestyle setting. A seasonal scene. Defined once, applied consistently to every product in the catalogue.
For merchants

A consistent brand identity across every product.

Create your brand avatar (the model who represents your store) and your brand space (the look and feel of your photography) once. Then connect your product catalogue. Our automated indexing pipeline runs every product through your avatar and your space, generating a full set of professional images without a single manual prompt. Every image in your catalogue looks like it came from the same shoot. Your website, your social posts, your deal listings: all visually coherent, all generated at near-zero cost per image.

1Build your brand avatar and space in Magic Studio
2Upload products or sync your Shopify catalogue
3The pipeline generates consistent photography for every item automatically
For shoppers

Your likeness. Every garment. No re-uploading.

Upload your photos once to create your personal avatar. The platform bakes it into a full set of professional poses: frontal, profile, three-quarter, seated, walking. Using your exact face, skin tone, hair, and build. Your avatar is stored permanently in your account. From that point on, trying on anything in Shoppermo is instant. No re-uploading your photo, no re-explaining your proportions, no re-describing your look. Your identity persists across every session, every garment, every store.

1Upload your photos: the app captures up to six poses
2Your avatar is baked: seven professional poses generated from your likeness
3Try on anything, anywhere, instantly. Your avatar is always ready

Why Glasgow. Why now.

We chose Glasgow as our launch city because it has everything that makes local retail hard: a dense city centre, a passionate shopping culture, and independent retailers being squeezed out by platforms built for a world where everything ships from a warehouse.

The problem isn't unique to Glasgow. It's every high street in the UK, Europe, the Middle East, and East Asia. Our mission is to give independent stores the same discovery infrastructure as the e-commerce giants, and to give shoppers a reason to walk back in.

£38bn
Addressable UK & European local retail market
Market Analysis, 2025
199
UK fashion chain stores closed in 2024 alone
PwC / Green Street Store Openings & Closures Report, 2024
45.8%
Year-on-year growth in AI commerce agents market
Global AI Agents Market Analysis, 2025

What Shoppermo does.

Two questions every shopper asks: "Will this actually look good on me?" and "Am I getting the best deal available nearby?" Shoppermo is the only app built to answer both.

Magic Studio: See It on You Before You Buy

Upload one photo, pick any product, and Magic Studio generates a photorealistic image of you wearing it. Try-On mode shows how the garment looks on your actual body. Editorial mode channels runway energy with styled, art-directed shots. Lifestyle mode puts your outfit into real-world settings. Ghost Mannequin gives brands clean, consistent product photography without a studio. Fourteen generation modes total, all without a changing room.

Local Deals: Real Stores, Real Prices, Right Now

Every deal on Shoppermo comes from a physical store near you, not a warehouse three days away. Browse by distance, sort by savings, shortlist what you want. Then walk in already knowing the price, the product, and where to find it on the rail. We give high-street retailers a live inventory feed that competes on the same screen as the e-commerce giants.

Merchant Platform: AI Tools Built for Independent Retailers

Shoppermo isn't just for shoppers. Retailers get a full merchant dashboard to list inventory, create deals, and run Magic Studio at scale, generating professional product photography, ad creatives, and lifestyle imagery without a photographer or studio hire. Our AI Campaign Manager (CMO) drafts and manages promotional content automatically, and a Shopify integration means online catalogues sync to local discovery without double-entering anything.

The path to Series A.

Shoppermo's architecture is already production-grade. What GCP credits unlock is the ability to remove infrastructure cost as a growth constraint — so we can scale from Glasgow to every high street in the UK and beyond.

✓
Foundation — Complete
Production platform launched
Gemini-native generation pipeline 14+ generation modes 5-step director pipeline 768-dim semantic search Shopify OAuth integration AI CMO campaign generator Gemini Batch API for catalogue indexing
NOW
Year 1 — Active · 2026
Glasgow launch: 50 boutiques · £12,490 MRR
50 stores × £249/month Merchant onboarding live Consumer app launched Envestors-backed fundraise open
Y2
Year 2 — 2027
500k users · 200 boutiques · ~£150k MRR
200 boutiques × £249 → £50k MRR 12,500 subscribers × £8/month → £100k MRR 500,000 registered users National UK rollout Vertex AI migration complete
A
Series A — 2027+
European expansion · SOM £381M
Middle East & East Asia launch API licensing to retailers Multi-model Vertex AI orchestration 0.62% SOM capture target

Endorsed, funded, and accelerated.

Shoppermo is built within the Strathclyde INSPIRE accelerator, backed by the University of Strathclyde entrepreneurship ecosystem. Envestors Limited, the FCA-regulated investment network, formally scored our business plan at 80% overall (93% Viable, 80% Scalable), endorsing us for innovativeness, scalability, and commercial viability. We are one of fewer than 300 companies globally to receive the UK Innovator Founder Visa endorsement in 2025. Our infrastructure today runs on cloud credits from Amazon Web Services and Microsoft Azure. As we scale the Magic Studio pipeline from hundreds to millions of AI generations, we see Google Cloud Platform as the natural long-term home: a Gemini-first architecture belongs on Vertex AI, and consolidating on GCP means a single, tightly-integrated AI infrastructure built to grow with the product.

Company Details

The Company

Legal Name Recommence Ltd
Registration Number 16441399
Jurisdiction England & Wales
Launch City Glasgow, UK