01 · Mission
Make what you own visible
Help people rediscover the real pieces in their wardrobes, wear them more and develop their style without pressure.
DRAEVA
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DRAEVA
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Designed and developed in Türkiye.
DRAEVA was born from a small but tiring question that repeats every morning: what should I wear today? Closets are full, yet the decision stays hard. We believe the answer isn't more shopping — it's using what you own, better.
To make that decision easier, we are building an engine that brings weather, thermal comfort, color harmony and personal preference into one evaluation. The mobile app is the first surface of that engine.
The core engine
DRAEVA evaluates the pieces in your wardrobe alongside the weather, your plans, color harmony and the choices you make. The result is an outfit designed not only to look coherent, but to fit the context of your day and feel more personal to you.
In research
Fabric recognition and thermal-comfort scoring remain in research and are not presented as part of today's live recommendations.
Our direction
We use technology not to drive more consumption, but to make the everyday getting-dressed decision more personal and lighter.
01 · Mission
Help people rediscover the real pieces in their wardrobes, wear them more and develop their style without pressure.
02 · Vision
Take the decision engine working inside our own app today into a boutique window, a brand's product page and a developer's own experience tomorrow. We want AI to become more than a recommendation tool: a trusted companion that understands context, adapts to the individual and leaves the final word to the user.
03 · Our measure
We measure success not by how many new pieces people buy, but by how much of what is already in their wardrobes they actually wear.
Our trust layer
We're building DRAEVA around verifiable product behavior and open communication, not inflated promises.
Outfits are created from the pieces you add to your digital wardrobe, not from a generic product catalog.
Weather, daily plans and style preferences are considered together within a single recommendation context.
We do not present an unreleased feature as if it were live. We call work in progress research, and communicate store destinations and data practices openly.
Aura makes positive style habits visible without fear of loss, penalties or judgmental product language.
How we work
Every feature and product decision passes through these four filters.
01
We encourage using what you own well — not buying more.
02
We design calm, understandable experiences instead of penalties, fear of loss and dark patterns.
03
Suggestions come from style guides with character, not a faceless algorithm.
04
AI doesn't dictate the answer; it offers options, learns from feedback and leaves the final decision to you.
Our journey
DRAEVA's direction hasn't changed; the way we solve the same problem has simply grown deeper.
The beginning
We started to address the decision fatigue that repeats every morning and the feeling of having nothing to wear despite a full closet.
The product
Digital wardrobe, outfit suggestions shaped by the weather and your plans, color-harmony scoring, Aura and character guides come together in one experience.
Today
The mobile app is live on iOS and Android. We're taking a measured path with the wider ecosystem and sharing details only when they're ready.
Next · In research
We are researching models that recognize fabric from a photograph and estimate a garment's thermal-comfort value. The goal is to ground suggestions not only in visual harmony, but in real comfort for the day's conditions. This work remains in research.
Discover DRAEVA
See how the product works or get in touch to talk about DRAEVA.
For investment, press and partnerships: info@getdraeva.com