Daily recommendation
One outfit, chosen from the user's own wardrobe, the weather and the day's plans.
Wearly is an AI stylist that picks one outfit a day from the clothes people already own. Live on iOS and Android, built in Vilnius, raising its first round.
Since June 2026.
Wearly, MB.
October 26, 2026Out now
People own more clothes than ever and still rebuy what they already have. Wearly turns the wardrobe they own into one decision a day.
At least half of what people own goes unworn.
Movinga survey of 18,000 households in 20 countries, 2018Getting dressed is one of the few decisions everyone makes every single day, under time pressure.
From the idea in January to the App Store and Google Play in June 2026.
Not a catalogue, not a shop, not a feed of strangers. One answer from the clothes in your own closet.
One outfit, chosen from the user's own wardrobe, the weather and the day's plans.
Photos become a structured closet the AI can reason about.
The social layer that turns a tool into a daily habit. Ships with Wearly 2.0.
Money goes into growth, not into building from scratch.
No outside capital so far. Wearly, MB converts to a UAB once the round closes.
Mentored by Tesonet members after Wearly took 3rd place out of ten teams at Tesonet's AI Karta.
We talk through amounts and terms in person. This is where the round goes.
Bringing Wearly to many more wardrobes.
Growing the social features.
What scales with every new user.
Built and shipped by three founders and a developer, with no outside capital so far.
Wearly has been live on the App Store and Google Play since June 2026.
A small team in Lithuania, building for an international audience from day one.
Fit Check, groups for events, personal rules, automatic laundry and travel mode.
Core features are free on iOS and Android, so the daily habit can form before anyone pays.
Premium unlocks advanced AI styling and planning tools, billed through the App Store and Google Play.
Vėjas V. BalčiūnasCo-founder · IT lead
Simonas NevardauskasDeveloper · IT lead
Vilius VasiliauskasCo-founder · Legal and finance
Ąžuolas VainilkaCo-founder · Marketing, brand
If you invest in consumer AI products at an early stage, we would like to show you the numbers in person: retention, cost per recommendation and the plan for 2027.