What is the difference between Ateliq and Perfect Corp?

Perfect Corp sells try-on and beauty AI as APIs, web plug-ins and apps that a brand or integrator assembles. Ateliq is a finished in-store product: a stylist that answers from the store's live stock, prices and offers, live try-on on a mirror and a jewellery counter, a hand-off to the sale and twelve agents whose work a person approves.

Is Perfect Corp better than Ateliq for anything?

Yes. Perfect Corp covers far more try-on categories, from make-up and hair to shoes and bags, leads in beauty and skin analysis, and runs try-on on websites and apps. If online try-on or a custom build is the priority, start with Perfect Corp.

Ateliq vs Perfect Corp (YouCam): in-store AI compared

Q: Does Ateliq price gold jewellery from the metal rate?

Yes. Ateliq prices each piece from net weight, today's rate per gram and purity, plus making charges, stones and 3% GST in India, and shows each part. Head office confirms the rate, and a rate older than 48 hours never prices a piece.

Perfect Corp sells try-on and beauty AI as building blocks: APIs, web plug-ins and apps that a brand or its integrator puts together into an experience. Ateliq is a finished product for the store itself: a stylist that answers from this store's live stock, prices and offers, live try-on on a mirror and a jewellery counter, and a hand-off from the screen to the sale. If the job is selling in a premium fashion or fine jewellery store, Ateliq does more of that job out of the box; if the job is try-on across many categories on websites and apps, Perfect Corp is the broader toolkit.

Ateliq is our product, so read this as a comparison written by one side. We describe Perfect Corp only from its own pages, press releases and trade coverage, as of November 2026, with a link for each claim. Where we found nothing, we say so.

What does Perfect Corp sell?

Perfect Corp, the company behind the YouCam apps, is best known for AR make-up try-on and skin analysis, and has spent the last few years moving into fashion and jewellery. It says it has over 800 global brand partners and more than 1.1 billion YouCam app downloads. It was listed on the New York Stock Exchange until October 2026, when a founder-led merger took it private.

The parts most relevant to fashion and jewellery stores:

Try-on APIs. In January 2026 it released nine generative fashion try-on APIs for watches, bracelets, rings, earrings, necklaces, scarves, hats, shoes and bags: the shopper uploads a photo and picks an item. It also sells live AR try-on for rings, with an online ring sizer, and 3D necklaces, and since May 2025 generative clothes try-on for brand websites, apps and its API.
Agent access. Its developer documentation describes hosted MCP servers, so AI agents and LLM tools can call YouCam services directly.
Conversational AI. The YouCam AI Beauty Agent launched in November 2025 inside the YouCam Makeup app, recommending looks from a selfie and a conversation, and a next version was shown at CES 2026.
A stylist built by someone else. In August 2026 Vereme launched an AI stylist built on 28 YouCam APIs, covering 18 areas from skincare and hair to fashion and fragrance, and the release says it "takes no brand money to shape its advice".
In-store and channel. Its in-store mirror app, YouCam for Business, launched in 2019 for beauty retail. In May 2026 it powered shade matching at TIRTIR's Seoul flagship, and in June 2026 it launched a console for agencies and system integrators running many client deployments.

In jewellery, the Indian jeweller QWEEN added 3D try-on for rings, earrings and bracelets to its website and mobile web in September 2026, with up to 2,300 try-on SKUs.

What does Ateliq do?

Ateliq is the AI stylist and sales system for fashion and jewellery stores, built on Nagent's agent platform. It runs on two screens: a full-length mirror on the shop floor and a close-up screen at the jewellery counter. Shoppers need no app and no sign-in. They try on 21 kinds of piece live, from dresses, sarees and lehengas to jhumkas, nose pins, rings, bangles and watches, and ask a stylist, named by the brand, that answers from this store's catalogue, sizes, prices and offers.

Behind the glass, twelve AI agents draft trends, concepts, shoots, campaigns, reports and follow-ups for the brand's team to approve. Ateliq runs today in India and the United States.

Toolkit or finished product?

This is the real difference. Perfect Corp gives a brand excellent parts. To get a store stylist out of them, someone still has to connect the stock, write the stylist's rules, build the hand-off to the till, design follow-ups and analytics, install screens and train staff. The June 2026 agency console suggests Perfect Corp expects agencies and integrators to do much of that assembly.

Ateliq is that assembled system, built AI-native from the start: an LLM stylist and a team of agents at the centre, with try-on as one of the things the stylist can do, rather than a try-on tool with a chat window added later. We supply and set up the screens, onboard the catalogue, train staff and support the stores.

How do they compare?

Capability	Ateliq	Perfect Corp (YouCam)
What you buy	A finished in-store system, delivered end to end	APIs, web plug-ins and apps, sold to brands and through agencies
Try-on range	21 kinds of piece: ten garments, eleven kinds of jewellery	Very broad: make-up, hair, nails, eyewear, jewellery, watches, clothes, shoes, bags
In-store screens	Full-length mirror and jewellery counter screen	In-store mirror app, beauty-led since 2019
Stylist	Brand-named, answers from this store's live stock, prices and offers	YouCam AI Beauty Agent in its app; Vereme built on its APIs; no public evidence of store-stock grounding
Jewellery pricing	From today's metal rate, weight, purity, making charges and stones	No public evidence of metal-rate pricing
Ring sizing	Shopper taps their size; the store's sizer confirms	Online ring sizer from the camera
Screen to sale	Hand-off code: hold, pay link, online cart or counter, with the associate	No public detail of holds, pay links or associate credit
Follow-ups	Opt-in email or WhatsApp, approved templates, two a week at most	No public evidence for store follow-ups
Agents behind the glass	Twelve agents; a person approves what shoppers see	APIs callable by agents through MCP
Unmet demand	"Asked for, not carried", by phrase and store	No public evidence
Privacy rules	Tracking on the screen, nothing recorded, no body-shape or race inference	Face, skin and hair analysis is a core feature

Where Perfect Corp is strong

Breadth. We know of few try-on vendors that cover as many categories, from foundation shades to handbags.
Beauty and skin AI. Skin analysis, shade matching and make-up try-on are its home ground, with years of brand work behind them.
Scale and reach. Hundreds of brand partners, a billion-plus app downloads and try-on that runs where most shoppers are: product pages and apps.
Jewellery realism online. Physically based rendering for metal and stones, 3D necklaces and a ring sizer, already live for a jeweller in India.
Developer reach. MCP support means other AI agents can call its try-on, which matters as shopping agents spread.

If you want try-on on your website, a beauty counter with shade matching, or an agency building a custom experience, start with Perfect Corp.

Where Ateliq is stronger in the store

A stylist that knows this store

Ateliq's stylist answers from this store's catalogue, sizes, prices and offers. It completes a look with at most two add-ons, compares two pieces side by side and always offers a "just this" exit. Head office's initiatives bring a banner on the screen and a brief for the stylist, so the screen says what the brand wants said. On request, it makes a photo of the shopper in the exact pieces, sent to their phone and deleted after 30 minutes.

A jewellery counter priced to the gram

Fine jewellery in India is priced from the day's metal rate. Ateliq works the price out as net weight times today's rate per gram times purity, plus making charges, stones and 3% GST in India, and shows each part. Head office confirms the rate; a rate older than 48 hours never prices a piece. Shoppers tap the ring or bangle size they wear and a stylist brings the store's sizer, because the camera never guesses a size. Rings and wrist pieces stack, and bridal sets try on in one tap.

From the screen to the sale

Buy turns a look into a hand-off code that carries the visit and the associate. The shopper finishes with a hold in store, a Razorpay or Stripe pay link, the online cart, or the counter. The screens never take payment. "Call a stylist" brings someone from the floor, and Ateliq records how long the shopper waited. With Shopify orders, your ERP or a payment provider connected, each hand-off is later marked kept, partly returned or returned.

Follow-ups the shopper chose

Shoppers who opt in, and confirm with a six-digit code, can hear about a piece they tried and didn't buy, a piece back in their size, or a look they saved, by email or WhatsApp. Programmes start off, templates are approved by a person, there are at most two messages a week and none between 9pm and 9am.

Twelve agents, with a person in charge

The trend scout, analyst, designer, marketer, clienteling agent, cataloguer and photographer each save drafts, reports or suggestions, and the retail lead answers head office's questions from store data. None of them can show anything to a shopper or post in public. A person on your team approves every trend board, concept, campaign, shoot and message template.

What the store never knew before

Each Monday, every store gets a report on what was tried, asked for, bought, kept and returned. "Asked for, not carried" groups what shoppers wanted that the store doesn't stock, by phrase and store, to download or send to your planning system. We cover how to use it in capturing unmet demand in the store.

Privacy by design

The camera asks for consent first and says plainly that the stylist is an AI. Camera frames, face and hand tracking stay on the screen and nothing is recorded. Ateliq never infers body build or shape, race, ethnicity or weight. Shoppers are remembered only by choice. Nagent, the company behind Ateliq, is ISO/IEC 27001:2022 certified and has a SOC 2 Type II report.

Connected and delivered

Catalogue and stock come from Shopify, WooCommerce, Adobe Commerce, SAP S/4HANA, Unicommerce, a REST API, CSV or SFTP, with Razorpay in India and Stripe in the US. Every connection starts off until you turn it on.

What Ateliq doesn't do

To be fair in the other direction: Ateliq's screens never take payment, it doesn't write back to your POS or ERP, voice commands are in English, and our size engine, FabFit, is coming next and not yet available. Ateliq is built for the mirror and the counter in your stores; if try-on on your product pages is the priority, look at the toolkits.

Which should you choose?

Choose Perfect Corp if your priority is try-on across many categories online, beauty and skin analysis, or a custom build by your own developers or an agency.

Choose Ateliq if you run premium fashion or fine jewellery stores and want the whole in-store visit handled, from the first question at the mirror to the sale and the follow-up. For more on what that looks like on the floor, see what an in-store AI stylist actually does.

The verdict

For the in-store job, Ateliq is the better fit. Perfect Corp has the wider try-on catalogue and the bigger footprint, but it sells parts. Ateliq is the store system those parts would have to become: grounded in your stock and prices, priced to the gram at the counter, tied to the sale, private by design and run by a team of agents your people approve. And it arrives set up: screens, catalogue, training and support.

Try it on our demo store at demo.ateliq.co, or reserve one of the first installs as a design partner.

Ateliq vs Perfect Corp (YouCam) for in-store try-on and AI styling