
Today + AI outfits
Daily recommendations use wardrobe context, weather, schedule, and personal style signals.
Intelligent wardrobe management. Effortless outfit curation. Personal style, elevated.
Real app screens — Capture, Wardrobe, Today.



Digitize your closet with AI-powered item recognition. Know exactly what you own, organized beautifully.
Personalized recommendations based on your schedule, the weather, and your unique style profile.
Discover new combinations. Fill wardrobe gaps. Watch your personal style grow and refine over time.
Cloudrobe is a mobile-first wardrobe platform for capturing clothes, building a digital wardrobe, receiving AI outfit recommendations, and refining a personal style profile.

Daily recommendations use wardrobe context, weather, schedule, and personal style signals.

A structured closet inventory keeps garments searchable, categorized, and ready for outfit generation.

Wardrobe capture starts from the phone camera so items can be added with minimal manual entry.

The styling assistant learns profile preferences, body-shape guidance, colour analysis, and privacy choices.
Current stage: Cloudrobe has an MVP app surface built and is relaunching into private beta. The public site now shows the product, its current development stage, and the solo-founder team behind it.
Cloudrobe uses proven styling frameworks to give you recommendations that actually work for your body and colouring.
Your bone structure, body flesh, and facial features create a unique style identity. Cloudrobe analyses your proportions to determine your Kibbe type—from Dramatic to Romantic and everything in between—so every recommendation flatters your natural lines.
The right colours make you look healthier, more vibrant, more you. We analyse your skin undertone, hair, and eyes to find your seasonal palette—Spring, Summer, Autumn, or Winter—and match your wardrobe to colours that genuinely suit you.
From cluttered closet to curated wardrobe in minutes. No fashion expertise required.
Use your phone camera to digitize your closet. Our AI automatically recognizes and categorizes each item—tops, bottoms, dresses, accessories, and more.
Every morning, receive personalized outfit recommendations based on your calendar, local weather, and personal style preferences. Never ask "what should I wear today" again.
Track what you wear, discover new combinations, and spot the gaps. Build a wardrobe that actually works—and actually feels like you.
Cloudrobe is its own app and platform: a privacy-first AI stylist that turns a real closet into a useful daily styling system.
Solo Founder, Cloudrobe
Ben is building Cloudrobe as a mobile-first AI wardrobe and styling assistant, covering wardrobe capture, digital closet management, recommendations, and style profiling. The product is currently in MVP/private beta relaunch rather than a consultancy or generic landing page.
LinkedIn: linkedin.com/in/bencoote
An AI personal stylist uses artificial intelligence to analyze your wardrobe, understand your style preferences, and recommend outfits tailored to you—like having a fashion consultant in your pocket.
Simply photograph your clothes and our AI automatically identifies each item, categorizes it, and adds it to your virtual wardrobe. No manual tagging required.
A capsule wardrobe is a curated collection of versatile, timeless pieces that mix and match effortlessly. Cloudrobe helps you build one by identifying gaps and suggesting smart additions.
We'll offer a free tier with core features when we launch. Join the waitlist for early access and exclusive founding member benefits.
Kibbe is a styling system that categorises body types based on bone structure, body flesh, and facial features. It helps you understand which silhouettes, fabrics, and cuts naturally flatter your frame—beyond simple "apple" or "pear" shapes.
Colour season analysis looks at your skin undertone, hair colour, and eye colour to determine which colour palette suits you best. Wearing your "season's" colours makes your complexion look healthier and more vibrant.
The Cloudrobe app is built and we're relaunching for private beta on Google Play. We need Android testers who can install the beta and use it for two weeks — your feedback gets us to a public launch. Join the beta list and you'll receive a Google Play invite when the closed test opens.
We'll email you a Google Play invite as soon as the closed beta opens. Please use the same Google account to install the app.