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Private Photoshoots, Powered By AI And Built For Arab Women
self.space offers a fully private, tech-led studio experience designed for women in the GCC who value modesty, control, and beautifully natural results.
In a region where modesty and privacy aren’t just preferences but lived and religious principles, traditional photography studios can feel alien, especially for women. The lights, the lens, the presence of strangers — it all creates tension. self.space, a new concept launching in Dubai this September, wants to change that.
The idea is simple but radical: step into a sealed, boutique-like room, alone. There’s no photographer, no audience — just you, a smart mirror, and cinema or studio-grade hardware. What happens next is entirely in your hands.
First piloted at the 2024 Arab Media Summit, the concept struck an immediate chord. Emirati women queued for hours to try it. Some emerged in tears, telling the team it was the first time they had loved a photo of themselves — not because the camera made them look different, but because for once, they felt in control.
“We discovered that people reject their photos mainly because tension never leaves their faces — not because they or the photographers lack talent or beauty,” say co-founders Mitia Muravev (CEO) and Peter Bondarenko (CPO). “That unease is sharper in the Arab world, where privacy and modesty are woven into daily life”.
Mitia steers the brand’s vision and partnerships, while Peter engineers the technology stack — from embedded cameras and soft LED rigs to edge AI and encryption. The result? A user-led shoot experience that’s as secure as it is elegant.
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Inside the studio, images are captured with a tap. An onboard neural model enhances color and smooths skin in real-time — editorial polish, minus the fakery. Each shot is encrypted and uploaded to a private gallery, accessible only via a one-time code sent to the user’s phone.
The space itself is intentionally calming: part spa, part tech capsule. “We don’t sell photos,” the team insists. “We sell a moment of radical self-ownership. The beauty was already there — our tech just lets you relax enough to see it”.
With over 4,000 users and zero data privacy incidents during early activations, self.space is betting big on the region. The flagship studio opens in Al Quoz this September — and the team has their sights set on turning privacy-first photography into the new norm across the GCC.
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Deezer Says AI Tracks Now Make Up 44% Of Uploads
The streamer says nearly 75,000 AI-made songs now hit its platform each day, even as those tracks account for just 1% to 3% of plays.
AI-generated music is becoming a real headache for music platforms, according to Deezer. The streaming service says it now receives nearly 75,000 AI-made tracks a day, equal to about 44% of all daily uploads to the platform.
The figure is up sharply from 10,000 daily AI uploads when Deezer launched its detection tool back in January 2025. The jump shows how quickly products such as Suno and Udio have made song creation cheap, fast, and easy to scale.
Despite the volume, Deezer says AI tracks still only account for 1% to 3% of total streams. The music gets few human listeners, but upload pressure is rising. The company says it is also seeing more “fraudulent” submissions.
Its response so far has been practical. Deezer has removed AI-generated songs from recommendation systems, demonetized them, and stopped storing high-resolution versions of those files.
The company also says it’s the only streaming platform currently tagging AI-generated tracks at scale, using that claim to position its moderation tools as a wider industry model.
“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” CEO Alexis Lanternier said in a blog post.
Deezer has started licensing the detection technology to other companies, turning an internal control system into a commercial product. It says the tool can already identify music created with Suno and Udio, and can be extended to other generators if training data is available.
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The company is also working on detection methods that would not require training datasets, a harder technical step that could widen coverage as new music models appear.
Rivals are taking mixed approaches. Spotify has rolled out policies aimed at curbing AI music. Apple Music is asking artists and labels to disclose AI-made tracks. Qobuz has begun automated labeling, while Bandcamp has banned AI music outright.
For now, Deezer’s numbers suggest the real issue is not listener demand. It’s supply.
