Dyla
AI-powered retail intelligence layer for jewelry
AI-powered retail intelligence layer for jewelry
AI-powered retail intelligence layer for jewelry
D
D
D


E-Catalog Studio
E-Catalog Studio
Turn simple iPhone product photos into studio-quality jewelry imagery for brand websites, apps, and
social media.
Turn simple iPhone product photos into studio-quality jewelry imagery for brand websites, apps, and social media.

Conversational
Shopping
Conversational
Shopping
Help customers discover the right jewelry with personalized styling and recommendations via WhatsApp and Instagram integration.
Help customers discover the right jewelry with personalized styling and recommendations via WhatsApp and Instagram integration.
Help customers discover the right jewelry with personalized styling and recommendations via WhatsApp and Instagram integration.
Y
Y
Y
L
L
L
A
A
A
Digital Styling Counter
In-store Dyla
Experience
In-store Experience
Bring AI-powered jewelry discovery into your store to help customers effortlessly style, visualize, and choose with confidence.
Bring AI-powered jewelry discovery into your store to help customers effortlessly style, visualize, and choose with confidence.
Bring AI-powered jewelry discovery into your store to help customers effortlessly style, visualize, and choose with confidence.




The Future of Fashion
The Future of Fashion
Indian jewelry is a $100 billion category running on twenty-year-old retail infrastructure. What happens when it suddenly meets a customer who discovers everything through AI? That's the gap we are building for.
If you walk into most jewelry stores today, the core experience is not very different from what it would have been ten or twenty years ago. But the customer has changed completely. She has already done her research before she walks in — saved screenshots from Instagram, browsed collections on the website, sent options to her sister on WhatsApp. She arrives with a point of view. The store has no way of knowing any of it.
And that is today. Tomorrow, she will not even browse — she will simply ask. AI is becoming the default way people discover and evaluate products. The question for every brand is: are you ready for her to have that conversation with you — in your store, on your website, on WhatsApp and Instagram?
Dyla is built for that conversation. It helps jewelry brands understand customer intent, taste, and context — and turns that into expert styling, visual discovery, and personalized shopping experiences across every store and every touchpoint.
Indian jewelry is a $100 billion category running on twenty-year-old retail infrastructure. What happens when it suddenly meets a customer who discovers everything through AI? That's the gap we are building for.
If you walk into most jewelry stores today, the core experience is not very different from what it would have been ten or twenty years ago. But the customer has changed completely. She has already done her research before she walks in — saved screenshots from Instagram, browsed collections on the website, sent options to her sister on WhatsApp. She arrives with a point of view. The store has no way of knowing any of it.
And that is today. Tomorrow, she will not even browse — she will simply ask. AI is becoming the default way people discover and evaluate products. The question for every brand is: are you ready for her to have that conversation with you — in your store, on your website, on WhatsApp and Instagram?
Dyla is built for that conversation. It helps jewelry brands understand customer intent, taste, and context — and turns that into expert styling, visual discovery, and personalized shopping experiences across every store and every touchpoint.
Indian jewelry is a $100 billion category running on twenty-year-old retail infrastructure. What happens when it suddenly meets a customer who discovers everything through AI? That's the gap we are building for.
If you walk into most jewelry stores today, the core experience is not very different from what it would have been ten or twenty years ago. But the customer has changed completely. She has already done her research before she walks in — saved screenshots from Instagram, browsed collections on the website, sent options to her sister on WhatsApp. She arrives with a point of view. The store has no way of knowing any of it.
And that is today. Tomorrow, she will not even browse — she will simply ask. AI is becoming the default way people discover and evaluate products. The question for every brand is: are you ready for her to have that conversation with you — in your store, on your website, on WhatsApp and Instagram?
Dyla is built for that conversation. It helps jewelry brands understand customer intent, taste, and context — and turns that into expert styling, visual discovery, and personalized shopping experiences across every store and every touchpoint.
Join our growing team
Full Stack Product Engineer →
Full-Time
/
In-Person
May 5, 2026
Join our growing team
Full Stack Product Engineer →
Full-Time
/
In-Person
May 5, 2026
Join our growing team
Full Stack Product Engineer →
Full-Time
/
In-Person
May 5, 2026