Sirbai launched the Middle East’s inaugural AI-powered autonomous drone swarm technology at UMEX 2026 in Abu Dhabi, targeting defence applications for unmanned aerial systems.
Developed by more than 40 AI, autonomy and robotics engineers with input from the Technology Innovation Institute, the platform enables collaborative drone operations in complex environments.
It features AI-driven mission planning, distributed decision-making, and real-time coordination to reduce operator workload while boosting mission resilience.
“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,” said Dario Albani, Chief Technology Officer of Sirbai.
Operating as a unified cluster
Drone swarms consist of interconnected drones operating as a single cluster, using sensors, GPS and communication systems for real-time coordination.
They employ flocking algorithms and swarm intelligence, inspired by nature, that allow decentralised control where no single drone leads, enabling self-healing if units fail. This modularity supports scalability from dozens to hundreds of units, with adaptability to obstacles via shared data.
Commercially, swarms accelerate infrastructure inspections for power lines, bridges and offshore platforms, sharing imagery for faster anomaly detection.
In search-and-rescue, they grid-search disaster zones with thermal sensors while agriculture benefits from crop monitoring and targeted treatments. Environmental tasks include wildlife tracking and pollution measurement, with entertainment shows demonstrating scalable coordination.
Entelechy Asia 