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SIRBAI Unveils Autonomous Drone Swarm Technology At UMEX
The AI-led platform marks SIRBAI’s entry into defense tech with drone swarm coordination built for modern scenarios.
Abu Dhabi’s SIRBAI has revealed what it calls the Middle East’s first autonomous drone swarm platform, using UMEX 2026 to mark its push into defense technology.
The system lets groups of unmanned aircraft coordinate with minimal operator input. Planning, command and execution all sit on a single software platform. The pitch: lighter workload and faster decisions, even under jamming attempts, patchy signals or GPS-denied conditions. Resilient navigation keeps swarms flying when connectivity degrades, with operators able to override if needed.
Drone swarm technologies are not new globally, but SIRBAI is the first regional firm to bring one to market. Its 40-person engineering team draws on research out of Abu Dhabi’s Technology Innovation Institute (TII). The company is banking on a software-first model that scales from compact tactical drones to larger unmanned combat aircraft and other platforms as they appear.
TII chief executive Dr. Najwa Aaraj called the launch “an important milestone for the region’s defense technology ecosystem” and said SIRBAI is setting “a new benchmark for resilient, operator-centric mission systems”.
Use cases span surveillance, perimeter protection and manned-unmanned teaming. Gulf militaries are exploring the latter as they modernize command-and-control and attempt to cut cognitive burden in complex missions. A modular architecture also appeals to procurement teams looking to integrate local and imported kit without locking into proprietary hardware.
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SIRBAI chief technology officer Dr. Dario Albani said the platform “enables seamless coordination across manned and unmanned systems,” keeping information flowing in fast-changing missions.
The UAE has been expanding its home-grown defense research as part of wider industrial and digital agendas. Swarm autonomy fits that push, opening room for software, interoperability and secure comms — areas long dominated by Western contractors. UMEX has become a test bed for that shift, drawing interest from Gulf and Asian buyers seeking alternatives to legacy unmanned systems.
With the debut, SIRBAI is positioning Abu Dhabi as an emerging node for advanced autonomous systems and signaling that regional defense suppliers can move beyond hardware assembly into AI-enabled mission software.
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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.
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