Outfit
Recommender
Tell it where you’re going. It tells you what to wear, and why that works on you.
A personal stylist that will learn your body, your colours, and what is actually hanging in your wardrobe—then help you dress for the day ahead.
Pre-launch · Built in Bengaluru · Product access is not yet open
These capabilities are in development. Product access will open only when the experience is ready to earn trust and become useful.
Tell it where you’re going. It tells you what to wear, and why that works on you.
You’re already dressed. Éfidra changes small things and tells you exactly what they fixed and why.
It’s you in the frame—your face and your build—so you’re judging the outfit instead of imagining yourself in it.
A useful model of what you own—organized by colour, fabric, formality, and how pieces combine.
Understand whether a possible purchase fits your life and how much it adds to your existing closet.
A practical palette that explains which colours support your natural contrast and undertone.
The product is being designed to ask for only what it needs, explain its reasoning, and improve through your choices.
A few optional photos and straightforward preferences should build the first version of your StyleDNA.
Occasion, weather, calendar context, and your wardrobe should narrow the answer before trends enter the room.
Every recommendation should include copyable details—tuck, sleeve, hem, layer, accessory, and the reason behind them.
The ambition is not to show you more clothes. It is to make the clothes you choose feel more like you.
Advice should be specific about proportion and line without treating a person as a problem to correct.
Colour guidance should account for undertone, contrast, context, and the shades you actually enjoy wearing.
Useful styling begins with what you already own. Buying should be the exception, not the default answer.
A recommendation is more valuable when you understand it well enough to make the next decision yourself.
Three product beliefs guide the company while the first release is being built.
Saves, skips, wears, and corrections can make future recommendations more personal than the first.
A stylist should be able to recommend across wardrobes and retailers without a single catalogue deciding the answer.
Getting dressed happens every day. The product should earn a place in that moment by being quick, relevant, and calm.
The wardrobe vision is simple: photograph a piece once, then let it become useful across future decisions.
Colour, category, fabric, and formality should be suggested automatically and confirmed by you.
Future Wardrobe should show what a potential purchase adds before money leaves your account.
Today’s Look should combine your wardrobe with the day ahead, while leaving the final decision yours.
Everyone knows someone with taste. Éfidra is being built to make that kind of considered help available when you need it.
Éfidra began with a simple frustration: many people own enough clothes but still struggle to turn them into a confident answer.
The company is building a stylist that starts with the individual—their proportions, colouring, preferences, context, and wardrobe—then explains every recommendation.
The standard is usefulness without pressure: specific without being unkind, ambitious without pretending the product is already finished.
Product, brand, and the stylist’s voice: personal, specific, and never pushy.
Technology, AI systems, privacy architecture, and the work of turning the vision into a dependable product.
A stylist who has seen your face, your wardrobe, and your calendar—and dresses you like they have known you for years.Yash Modi · Founder & CEO
The App Store and Google Play listings are not live yet. They will activate here when the first release is ready.
This marketing site does not accept photos, create accounts, or run styling analysis. Product-specific policies will be published before product access opens.
The marketing website is separate from the future app and contains no AI or application secrets.
The marketing site currently collects no waitlist details. Store links will activate only when verified listings exist.
Features are marked as in development or planned until users can actually access them.