Redefining Autonomous Drone Flights

By developing AI-powered navigation and autonomy, we’re making it possible for drones and aircraft to fly safely and independently through the complex environments of modern cities.

Our mission is to open the skies above every city — creating a foundation for cleaner, faster, and more connected urban life through fully autonomous aviation.

Visual Vertical Landing enabling safe vertical descent with ultra-high precision accuracy. It ensures reliability even in complex urban or GPS-denied environments.

Multiple Drone Coordination enables fleets of drones to communicate, synchronize, and execute missions collaboratively. It ensures safe spacing, efficient task distribution, and seamless swarm operations.

Wire Line Detection tracks overhead wires in real time, ensuring safe flight in complex urban and ultra-low-altitude environments. With high-precision accuracy, it helps prevent collisions and enables autonomous aircraft to navigate safely in cluttered airspaces.

Aircraft Trajectory Detection and Avoidance tracks nearby aircraft, predicts their flight paths, and automatically adjusts the drone’s course to prevent collisions. It ensures safe, autonomous navigation in shared airspace.

Aircraft Trajectory Detection and Avoidance

Landing Zone Scanner evaluates terrain and surroundings to identify safe, obstacle-free landing areas. It enables drones to land autonomously with precision, even in complex or unpredictable environments.

Low-Altitude Maneuvering allows drones to perform precise, agile movements close to the ground. It ensures stability, obstacle avoidance, and mission accuracy in complex urban and natural environments.

Ultra-Low-Altitude Navigation enables for precise and safe flight within densely built urban environments at altitudes below 100 meters. It combines advanced sensors, computer vision, and obstacle-avoidance algorithms to enable reliable operations in cluttered areas.

Visual Air Traffic Detection uses AI-powered computer vision to identify, classify, and track aircraft and vehicle in real time using onboard cameras and sensors. It enables drones and autonomous aircraft to detect potential collision risks, maintain safe separation.

Hybrid Optical Navigation combines computer vision, and multiple sensor inputs to enable precise positioning and movement without GPS. By fusing visual data with inertial measurements, it maintains accurate navigation in GPS-denied or high-risk environments.