AI-powered autonomous navigation and computer vision for remote operations
Archangel Autonomy builds edge AI systems for drones and unmanned vehicles operating in GPS-denied or infrastructure-sparse environments. The stack—Simulink, PX4, ROS, Gazebo, AirSim, plus onboard compute (Nvidia Jetson, Raspberry Pi)—reflects a hardware-first, embedded-systems approach to autonomous navigation. Active projects center on integrating their UXV navigation copilot across partner platforms and scaling from prototype to field-grade production, with hiring concentrated in engineering and quality control, signaling early-stage manufacturing and field-trial phases.
Archangel Autonomy (formerly Archangel Imaging) develops autonomous systems for asset protection and personnel safety in remote or challenging environments. The company offers three product lines: Argonaut AI cameras for visual threat detection, GENIE navigation units for GPS-independent drone autonomy, and Cerebella mission management software that coordinates drones, robots, IoT sensors, and human operators into unified teams. Operations span Africa, South America, and Europe across wildlife protection, energy infrastructure, and railway safety use cases. The 11–50 person team is UK-based and privately held since 2016.
Core stack includes Simulink, PX4, ROS, MAVLink, Python, C++, Gazebo, AirSim, Unreal Engine for simulation, plus onboard Nvidia Jetson and Raspberry Pi for edge compute, LIDAR/GPS/GNSS for sensing, and LoRa/4G for connectivity.
Active projects include UXV autonomous navigation systems, integrating their copilot with partner drone autopilots and fixed-wing/multirotor platforms, field trials, and quality-assurance processes for scaling production.
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