Describing the firm as being applying brain-inspired processing and modeling to robotics and autonomous systems, Qelzal was founded by those having considerable experience in machine learning, neuroscience, physics, and electrical engineering, along with knowledge of pulsed systems, deep learning, control theory and robotics. With the focus on making drones autonomous and safer in near-earth flights, Qelzal develops the next generation of Obstacle Avoidance systems for small commercial drones. Members of the team have worked on different projects, including in computer vision for hand-gesture recognition, on an "artificial nervous system for UAVs" (Unmanned Aerial Vehicles)" on a DARPA project, on display technologies. To achieve safer drones, Qelzal provides 'intelligent eyes' that distinguish obstacles and provide evasive maneuvers. Unlike alternatives, Qelzal's system operates on-board the vehicle, processes faster using less power, detects under a wider variety of light intensities at farther distances, and, being "image free", avoids invasion of privacy. Operations become more autonomous, helping to unlock the economic potential of the commercial drone market.
