# Ateliq

> Ateliq is the marketing and sales AI for fashion and jewellery brands: an in-store stylist with live try-on, trend intelligence, design concepts, customer understanding and campaigns that run themselves. Built on Nagent.

Ateliq runs on two in-store screens: a full-length mirror (portrait, 1080 × 1920) for the shop floor and a counter screen (landscape, 1920 × 1080) for jewellery and accessories. Shoppers try pieces on live, ask the brand's stylist questions answered from the store's own stock and prices, and get a photo-real try-on made from the exact catalogue pieces. Behind the glass, Ateliq reads weekly trends per city, drafts design concepts from gaps in demand, remembers customers who opt in, and turns the looks that sell into campaigns. Each brand names its own stylist. Ateliq is built on Nagent's agent platform and delivered end to end: screens, catalogue onboarding, setup, staff training and ongoing support.

## Company
- Ateliq is a product from Nagent (https://nagent.ai). Website: https://ateliq.co. Contact: pb@ateliq.co.
- Security and privacy: ISO/IEC 27001 certified and SOC 2 Type II certified; GDPR, CCPA and DPDP Act aligned. Ateliq never infers race, ethnicity or weight, tracking runs on the screen and nothing is recorded; profiles exist only for shoppers who opt in.
- Supported by NVIDIA Inception, AWS Activate and as an Anthropic partner.
- Availability: design-partner pre-orders are open now (https://ateliq.co/pre-order/). Brands get the screens, catalogue onboarding, setup, staff training and support.
- Who it is for: premium and fine jewellery chains, and premium fashion brands with their own stores.

## Key pages
- [Home](https://ateliq.co/): what Ateliq does, the in-store journey, the live demo, FAQ and design partners.
- [Pre-order](https://ateliq.co/pre-order/): design-partner pre-orders are open; the form asks about your brand, stores, screens and timing.
- [Live demo](https://ateliq.co/#live-demo): our fictional demo store with its full catalogue, on the counter and the mirror.
- [Journal](https://ateliq.co/blog/): articles on AI styling, try-on, trends and customer understanding.

## Articles
- [12 ways fashion and jewellery stores use AI on the shop floor in 2026](https://ateliq.co/blog/ways-jewellery-and-fashion-stores-use-ai-on-the-shop-floor/): Twelve ways fashion and jewellery stores use AI on the shop floor in 2026, from try-on and stylists to clienteling, translation, unmet demand and follow-up.
- [In-store AI for fashion and jewellery retail compared: virtual try-on, smart mirrors, clienteling apps and AI stylists](https://ateliq.co/blog/in-store-ai-for-fashion-and-jewellery-compared/): Virtual try-on, smart mirrors, clienteling apps and AI stylists compared: what each does, where it sits in the journey, the data it captures and the staff role.
- [Clienteling in 2026: what it means for premium fashion and jewellery brands](https://ateliq.co/blog/clienteling-in-2026/): What clienteling means now: client advisors, consented memory of sizes and occasions, store-to-phone follow-up, and how in-store AI and advisor apps fit together.
- [Asked for, not stocked: how to capture unmet demand in the store](https://ateliq.co/blog/capturing-unmet-demand-in-store/): Stock-outs, size gaps and requests you never ranged leave no trace at the till. How stores record unmet demand, and how to act on it in replenishment and buying.
- [How to measure an in-store AI pilot](https://ateliq.co/blog/how-to-measure-an-in-store-ai-pilot/): Metrics, control store design, pilot length and common pitfalls for measuring an in-store AI pilot in fashion or jewellery retail, from engagement to conversion and ATV.
- [Trying on fine jewellery without opening the case](https://ateliq.co/blog/trying-on-fine-jewellery-without-opening-the-case/): How jewellery counters can let shoppers try more pieces despite security, hygiene and advisor time, and where the real piece in the hand still decides the sale.
- [How to use try-on data in range planning and buying](https://ateliq.co/blog/using-try-on-data-in-range-planning-and-buying/): Tried-versus-bought ratios, requested sizes and store-level try-ons can sharpen size curves, allocation and re-orders, and protect full-price sell-through.
- [Privacy by design for in-store AI: cameras, consent and the law](https://ateliq.co/blog/privacy-by-design-for-in-store-ai/): How to run cameras and AI in a store responsibly: GDPR biometric rules, the EU AI Act, CCPA, Illinois BIPA, New York City signage, consent and on-device tracking.
- [A brand-safe AI stylist: voice, rules, stock and testing](https://ateliq.co/blog/a-brand-safe-ai-stylist/): How to keep an AI stylist on brand: its name and voice, rules on returns and offers, grounding in your own stock and prices, approved trends, hand-over and testing.
- [Local demand vs global trend reports: forecasting fashion trends city by city](https://ateliq.co/blog/local-demand-vs-global-trend-reports/): Trend agencies, social listening, search and sell-through show what is rising. How to test that view each week against what shoppers in each city ask for and try.
- [From demand signals to new designs: AI-assisted design for fashion and jewellery brands](https://ateliq.co/blog/from-demand-signals-to-new-designs/): How repeated unmet requests become design briefs, AI concepts in the brand's own style and on-screen tests before sampling, with care for IP and designers in charge.
- [AI for bridal and engagement ring appointments](https://ateliq.co/blog/ai-for-bridal-and-engagement-ring-appointments/): Where AI helps jewellers before, during and after a bridal or engagement ring appointment, from preparing a curated selection to follow-up, with the advisor in charge.
- [Virtual try-on for fine jewellery: why the photo matters more than the overlay](https://ateliq.co/blog/virtual-try-on-for-fine-jewellery/): Flat overlays make fine jewellery look pasted on. How a two-layer approach, a live preview plus a photo made from the exact catalogue piece, gets earrings and chains to look worn.
- [What an in-store AI stylist actually does on the shop floor](https://ateliq.co/blog/what-an-in-store-ai-stylist-does/): From the moment a shopper steps up to the mirror to the photo on their phone: the five moments an in-store AI stylist handles, and what stays with your staff.
- [The data gap between online and in-store fashion retail, and how to close it](https://ateliq.co/blog/the-physical-store-data-gap/): Online stores know what people looked at and left behind. Physical stores mostly know what sold. How try-on, questions and opt-in profiles close the gap, and what to do with what you learn.

## Facts
- What is Ateliq? Ateliq is a marketing and sales system for fashion and jewellery brands. In the store it runs a full-length mirror and a counter screen where shoppers try pieces on and ask a stylist questions. Behind the glass it reads trends, drafts design concepts from gaps in demand, remembers customers who opt in, and turns the looks that sell into campaigns.
- How does virtual try-on work for jewellery? The live screen follows the shopper with face and body tracking. When the shopper wants to see a piece for real, Ateliq takes one photo and gives an image model the exact catalogue cut-out of each piece, with instructions on how it is worn: earrings through the lobe, chains resting on the collarbones, at real-world size. The shopper's own clothes are kept as they are.
- Does Ateliq record shoppers? No. Tracking runs on the screen itself and nothing is recorded. A photo is taken only when the shopper asks for one, and it is deleted after 30 minutes unless they save it. Ateliq never infers race, ethnicity or weight.
- What hardware does a store need? A portrait screen of 1080 by 1920 for the mirror and a landscape screen of 1920 by 1080 for the counter, each with a camera. Ateliq runs in a browser, and we supply and set up the screens as part of the service.
- How does Ateliq connect to our catalogue? Connect a Shopify store or upload a product sheet. Ateliq removes the background from your own product photos, so every piece on the mirror is the piece in your catalogue, and it keeps new stock and sold-out pieces in step.
- Can the stylist carry our brand's name? Yes. Each brand names its own stylist, sets its accent colour and its social handles. Shoppers greet the stylist by that name, and the product name stays behind the glass.
- Who builds Ateliq? Ateliq is built on Nagent, an agent platform. The stylist, trend scout, designer, marketer, sales assistant and analyst are agents that work within the limits each brand sets.

## Optional
- [Full text of this site for language models](https://ateliq.co/llms-full.txt)