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Fashion intelligence,
built deliberately.

STYL is an AI-powered personal styling platform. We translate real-time weather, body context, and personal taste into outfits that actually work — no generic advice, no filler.

Our mission

Everyone deserves to dress with confidence.

Most people don't have access to a personal stylist. STYL changes that — by building AI that understands fashion the way a good stylist does: contextually, honestly, and specifically for you.

We started with a simple observation: weather shapes every outfit decision, yet no tool connected the two. That insight became the foundation of STYL.

outfits generated
satisfaction rate
10
Indian cities
<15s
per analysis
What we stand for

Four principles that guide every decision.

Honest intelligence

We tell you what actually works — not what sounds good. Our scoring is calibrated, not complimentary.

Personal, not generic

Fashion advice that doesn't account for your body, weather, or occasion is just noise. We make it specific.

Quiet by design

No clutter. No dark patterns. STYL is designed to get out of the way and let you dress with confidence.

Built to last

We build slowly and deliberately. Every feature ships when it's ready — not when it's trending.

The model

Fine-tuned for Indian fashion, not fashion in general.

STYL runs on a fine-tuned Qwen2.5-7B LoRA adapter trained specifically on Indian cities, climates, and occasions — from Mumbai monsoon office looks to Delhi winter weddings. It generates neighbourhood-aware, fabric-reasoned outfit recommendations that generic models can't produce.

88%
eval compliance
7B
parameters
939
training examples
0.13
final loss
Held-out evaluation — 80 examples
98%Top / shirt / kurta mentions
94%Shoes / sneaker / sandal mentions
99%Styling rationale present
90%City-specific reference
100%Outfit title generated
202wAvg output length
Pritam357/styl-qwen2.5-7b-indian-fashion →
The team
P
Pritam Patil
Founder & CEO

Building at the intersection of fashion intelligence and AI.