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Aurra for Business
Put a personal stylist in every customer's pocket.
Aurra is the AI stylist behind House of Nova. License it for your store or app, by API or embed.
It styles complete outfits from your own catalog rather than recommending more of what a shopper already clicked. A customer says where they are going; Aurra returns a considered look, in your voice, made only of pieces you actually sell. You keep the data, the checkout, and the relationship.
Lift average order value
Complete looks, not single items. One intent becomes an outfit bought together.
Cut returns
Fit, occasion, and a psychological style profile mean fewer wrong guesses coming back.
On-brand, always
Your voice, your catalog only. White-label it or call it by API.
Global from day one
One integration, built to style every market you serve.
How it works
01
Connect your catalog
Point Aurra at your product feed. It learns your pieces and merchandising rules.
02
Choose API or embed
Call Aurra from your own UI, or drop in the white-label widget.
03
Ship personalized styling
A few questions in, outfits out. You keep the data and the relationship.
Where it fits
Product page: complete the look
A customer lands on one coat from a search ad. Aurra returns the outfit that coat belongs to, drawn from your catalog and styled for a stated occasion, so the session ends as a basket rather than as a single item or a bounce.
Onsite styling assistant
A conversational entry point where a customer says where they are going instead of guessing at filters. It converts vague intent, the kind that filter rails handle badly, into a specific, shoppable answer.
Size and fit confidence
Fit, proportion, and occasion are considered before checkout, which is where returns are actually created. Fewer wrong guesses ship, so fewer come back, and the margin recovered lands straight on the bottom line.
Merchandising and email
Generate outfit-level content at catalog scale: styled looks for lookbooks, category pages, and lifecycle email, built from live inventory rather than from a shoot that happened six weeks ago.
House of Nova runs Aurra on its own storefront before licensing it, which is the only honest way to sell a styling engine: the recommendations you would be buying are the ones the House stakes its own conversion on. You can try the consumer version free before you book anything, and wholesale and stockist enquiries for the House's own collection are handled separately.
Book a demo
Tell us about your store or app. We'll show Aurra styling your catalog.
For business
Common questions
What is Aurra for Business?
Aurra for Business licenses the AI stylist behind House of Nova to retailers and fashion apps. It styles complete, on-brand outfits from your own catalog and returns them either through a REST API you call from your product pages, or through a white-label embed you drop into your site. The same engine that styles House of Nova customers, pointed at your assortment.
How does Aurra integrate with my store or app?
Two paths. The API suits teams that want to own the interface: you call Aurra from your own product pages, cart, or app, and render the result however you like. The white-label embed suits teams that want it live quickly: a hosted widget styled to your brand, added with a snippet. Both style only from your catalog, so every recommendation is a piece a customer can actually add to a bag.
What results does AI styling deliver for retailers?
Two mechanisms. Complete looks lift average order value, because a customer arriving for one item leaves with the outfit that item belongs to. Better-matched pieces cut returns, because fit, occasion, and a style profile are considered before the order rather than after it. The experience stays on-brand throughout, so the lift does not come at the cost of how the store feels.
Can Aurra match my brand's voice and look?
Yes. Both the embed and the API adapt to your tone of voice, your merchandising and styling rules, and your visual identity. If your buyers never pair a certain silhouette with a certain fabric, Aurra will not either. The stylist is configurable; the House's own taste is not baked in.
What data does Aurra need, and who owns it?
A product feed is the minimum: images, titles, categories, and attributes such as colour, fabric, and occasion. Richer attribution produces better styling, but Aurra will work from a standard feed. You keep the customer data and the customer relationship; the integration is a styling layer on your commerce, not a marketplace that sits between you and your buyer.
How long does an integration take?
The white-label embed can be live in days, since it needs a feed and a snippet. An API integration depends on how much of the surface you are building yourself, and is typically scoped in weeks rather than months. Either way it starts the same: a demo where Aurra styles your real catalog so you can judge the output before scoping anything.
Who is this built for?
Fashion retailers and multi-brand e-commerce teams that want outfit-level recommendations rather than item-level ones, styling apps that need a recommendation engine they do not have to build, and brands launching direct-to-consumer who want a personal shopping experience without hiring a styling team.
How do we get started?
Book a demo through the form on this page. We will style your catalog live, show you the output on your own products, and then scope integration and pricing against what you actually saw rather than against a deck.