AI-powered Autonomous Drone Swarm By SIRBAI Debuts At UMEX 2026 In The Middle East

SIRBAI has announced the launch of the Middle East’s first AI-powered autonomous drone swarm technology at UMEX 2026, introducing a new platform for unmanned aerial systems that allows multiple drones to cooperate with high autonomy during missions, including in complex, contested airspaces and modern defence environments.

The system is designed to support defence operations such as surveillance, protection tasks, and advanced manned-unmanned teaming, using an operator-friendly interface that reduces workload while maintaining control of large drone groups and improving mission resilience, effectiveness, and responsiveness under demanding operational conditions.

The launch centres on a modular, end-to-end architecture that brings mission planning, command functions, and swarm execution into one integrated platform, allowing faster decision cycles, coordinated control of drone fleets, and a lower cognitive burden for operators who must manage many assets at once.

SIRBAI follows a software-first model supported by a fully in-house technology stack, enabling rapid capability updates, strict security assurance, and deployment flexibility across varied theatres, so defence users can configure autonomous swarm behaviour to match different national requirements, terrain types, and mission profiles.

Development of the SIRBAI platform involves more than 40 engineers working across AI, autonomy, and robotics, drawing on advanced research completed in Abu Dhabi, including technologies originating from the Technology Innovation Institute, which provided capabilities that now underpin several swarm intelligence and autonomy functions within the system.

SIRBAI’s stated mission is to help nations build secure and resilient defence systems using practical, AI-enabled autonomous swarm technology that links multiple unmanned aircraft into one coordinated capability, aligning with regional ambitions to strengthen defence technology ecosystems and increase reliance on locally developed autonomous systems.

Dr. Najwa Aaraj, Chief Executive Officer at TII, said, "The launch of SIRBAI’s next-generation swarm technology marks an important milestone for the region’s defence technology ecosystem. By combining advanced AI with autonomous drone operations, SIRBAI is setting a new benchmark for resilient, operator-centric mission systems. TII is proud to support this achievement, which reflects our shared commitment to delivering advanced technologies that strengthen national security and enhance defence capabilities globally."

The platform integrates AI-driven mission planning, distributed decision-making, and real-time coordination across the swarm, which helps align drone actions with commander intent, maintain information flow among assets, and support resilient autonomy even as operational conditions change quickly or communications are stressed.

The company presents itself as a leader in defence autonomy and intelligent swarm technologies within the region, aiming to establish new standards for resilient, operator-centric mission systems and scalable autonomous technology that can support modern defence operations from early surveillance phases through to complex contested engagements.

Dr. Dario Albani, Chief Technology Officer at SIRBAI, said, "SIRBAI bridges the gap between human intent and autonomous mission execution, enabling seamless coordination across manned and unmanned systems. Our platform ensures resilient autonomy, continuous information flow, and agile response in rapidly changing and demanding environments. By keeping operators and autonomous assets connected and working together, SIRBAI delivers the reliability and operational advantage needed for modern missions."

Through this launch at UMEX 2026, SIRBAI formalises its entry into the defence technology sector, positioning its AI-powered autonomous drone swarm technology as a scalable tool for national defence planners who seek secure, locally developed autonomy solutions that can adapt to complex missions and support long-term resilience in regional security strategies.

With inputs from WAM