Setup takes about twenty minutes, once. After that, Stirolo hands you a complete outfit every morning, built entirely from clothes already hanging in your closet.
Each step teaches Stirolo something it cannot guess. Skip one and the recommendations get noticeably worse, so we keep every step short.
A few full-body photos so Stirolo can understand your fit, proportions, and how clothes sit on you.
Snap your closet - or import from receipts and shopping history. Tagging is automatic.
A six-minute interactive quiz on color, silhouette, formality, and inspirations.
Personalized looks daily, ranked by occasion, weather, and what you haven't worn lately.
See yourself in the look before you commit - our generator renders outfits on your body model.
Stirolo learns from what you keep, skip, and rewear. The recommendations only get sharper.
The setup is the long part. The daily routine is the point.
It checks tomorrow's forecast, reads your calendar for occasions, and scores combinations from your wardrobe before you are awake.
Ranked, weather-appropriate, and built only from items you own. Each one carries a match score so you know why it was chosen.
Take the top pick, swap a single piece, or ask the AI assistant for something different. Every adjustment teaches it something.
What you actually wore feeds back in. Over weeks, the top recommendation becomes the one you would have picked anyway.
Most styling tools use a single signal. Stirolo will not recommend anything until all five agree it makes sense.
Fit, proportions, body shape
Every item, mapped
Style, color, silhouette
Work, dinner, travel
Climate, time, location
Each one is tuned for a specific moment in the routine above.
Four ranked outfits each morning, drawn from your closet and scored to your taste. This is the screen you open first.
Auto-tagged and searchable, tracking wear count, last worn, and cost-per-wear so you can see what earns its place.
Ask what to wear to a Tuesday client meeting and get an answer grounded in what is actually hanging up, not a generic suggestion.
Any combination rendered on your own body model, so you can preview before committing rather than guessing in the mirror.
Confidence scores, wear patterns, and capsule efficiency. Your style, measured, with seasonal recaps showing how it shifts.
Tell it the itinerary and get a mix-and-match capsule. Before a purchase, see how a piece pairs with what you own.
AI styling has a credibility problem across the whole category, and it is earned. Here is where we draw our lines, so you know what you are getting before you set anything up.
Every outfit comes from your catalogue. If a suggestion contains something that is not in your closet, that is a bug, not a feature.
Shopping guidance runs only when you ask, and its job is to flag duplicates and fit mismatches before you buy, not to sell you anything.
The model learns your taste, not the trend cycle. If your style is consistent, the recommendations stay consistent with it.
Accuracy compounds with use. The first week is the model learning you. By week four, most users report the top pick is the one they would have chosen.
No. Stirolo starts producing recommendations once you have added enough pieces to build complete looks, usually around twenty to thirty items. You can keep adding as you go, and the recommendations improve as the catalogue fills out.
You can use Stirolo without body photos. Wardrobe management, outfit recommendations, and the AI assistant all work without them. What you lose is fit-aware ranking and the outfit visualization feature, since both depend on a body model.
Expect the first week to be the model learning you. Accuracy compounds with every outfit you save, skip, or edit. Most users report the top recommendation matches what they would have chosen by around week four.
Yes, and you should. Swap a single piece, reject the look, or tell the AI assistant what was wrong with it. Manual corrections carry more weight in the model than passive scrolling, so a few deliberate edits go a long way.
It works particularly well with a small wardrobe. Fewer items means Stirolo can find combinations you have not tried rather than surfacing things you already wear on rotation. Capsule wardrobes are one of the clearest use cases.
Photos and wardrobe data are end-to-end encrypted, stored regionally, and never sold or shared with third parties. You can delete everything from your account in one tap, at any time, and export your wardrobe catalogue if you leave.
Stirolo weighs your body, wardrobe, taste, occasion, and environment together instead of guessing from a trend board.
The system starts with your real closet, so suggestions stay practical, repeatable, and worth wearing tomorrow.
Saved looks, skipped combinations, and repeat wears all improve the next round of recommendations.
Stirolo is currently in early access. Join the list and we will let you know the moment it is ready for you.
Download the app