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This UAE Platform Wants To Replace Fashion Photo Shoots With AI
Built in Ajman, neofashion.ai launches with a free tier that puts studio-grade product imagery within reach of independent boutiques.
neofashion.ai, an AI content platform built by UAE-based Fipera, has opened self-serve access, letting any fashion brand generate on-brand product photography, video, and marketing content from its own product photos and references. The launch follows a private beta in which three global apparel brands used the platform in live production, turning their own product images into on-model photography, e-commerce packshots, and campaign video.
The pitch is aimed at the economics of fashion imagery. “Fashion brands don’t have a creativity problem, they have a consistency and cost problem,” said Ali Alkan, founder of Fipera. “Our beta brands are producing catalog-scale imagery in hours instead of weeks, and it looks unmistakably like their brand, because every generation is grounded in their own references, not a generic average”.
That consistency claim rests on how the platform handles brand data. Each customer’s product references, saved model personas, and brand profile sit in a walled-off workspace and shape every generation — the company’s answer to general-purpose image generators, which it says produce averages rather than a brand’s look. The result, according to Fipera, is casting, fabric behavior, lighting, and mood that hold steady across large catalogs, with no brand’s images or settings ever shared with another customer or used to train its output.
Access scales from boutique to enterprise. A credit-based free tier lets an independent boutique sign up and start generating the same day, while paid plans grow with the brand and enterprise customers add extra fine-tuning controls, API access, and service-level agreements. Modules cover on-model photography, sketch-to-photo, flat lay and cut-out packshots, studio photos, campaign video, and batch tools for seasonal collections, plus a native Shopify integration that lets merchants generate and attach imagery from inside their store catalog.
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The platform draws on Fipera’s experience in fashion trading and retail commerce, and the company places the launch within the UAE’s National AI Strategy 2031 and D33 economic agenda — a push to make the country an exporter of AI products, not merely an adopter. Fipera says it is opening conversations with strategic and institutional investors to expand across the GCC, Europe, and Asia.
News
Abu Dhabi’s Robot Kitchen Is Serving Up Biryani, Not Burgers
Circus SE wants to put a tiny automated factory inside the buildings where Gulf residents live and work, bypassing part of last-mile delivery.
The most telling thing about a new autonomous kitchen now running in Abu Dhabi’s Marina Square is what it won’t cook:
“We don’t do fast food,” says Nikolas Bullwinkel, Founder and CEO of Circus SE. “We’ve actively decided not to build a machine that can only do burgers”.
Instead, the CA-1 system is built around pot-based cooking: curries, pastas, soups and rice dishes. After experimenting with highly personalized recipes, Circus deliberately leaned back toward recognizable food. “We’re going with a chicken biryani because you know it,” Bullwinkel says of the AED 40 dish.

The Germany-based robotics and food technology company operates across eight countries, and Abu Dhabi is its first deployment outside Europe. More locations are expected there and in Dubai.
In Germany, its units can be placed in supermarkets, gas stations, airports and hospitals. In the Gulf, Bullwinkel wants them inside residential and office buildings, replacing some of the complexity of last-mile delivery. “We’re basically bringing a very tiny factory a few square meters into your building,” he says. Catering company Royal Prestige supplies the ingredients and knowledge of local tastes.
The CA-1 manages up to 36 refrigerated ingredient silos alongside automated induction cooking, robotic plating and a self-cleaning dishwasher. Two robotic arms move ingredients through the system with minimal human intervention. It can produce up to 120 hot meals an hour, and a meal such as rice and curry can take around three to four minutes.
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Five cameras and multiple sensors monitor heat, temperature and consistency, an attempt to approximate what a chef perceives. “You can hear something gets burned, you can smell it, you can see it at some point,” Bullwinkel says. CircusOS, the company’s operating system, adjusts recipes in real time.
You might think of the platform as a threat to kitchen staff, but Bullwinkel frames Circus as a way for chefs to develop recipes and distribute them at scale. With that being said, rising labor costs and shortages are also part of his case for automation.
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