As Drone Traffic Increases, Skypuzzler Advocates for Non-AI Solutions in Airspace Safety
Danish Airspace Deconfliction Company Targets U.S. Market
By DRONELIFE Features Editor Jim Magill
Introduction to Skypuzzler
As the Federal Aviation Administration (FAA) seeks effective strategies to manage low-altitude airspace amid the expected surge in traffic from unmanned aerial vehicles (UAVs) and advanced aviation vehicles, Copenhagen-based Skypuzzler is proposing a solution grounded in mathematical algorithms rather than artificial intelligence (AI) models.
Skypuzzler has developed an air traffic management system that integrates both strategic (pre-departure) and tactical (during flight) deconfliction methods to avert airspace conflicts proactively and facilitate real-time air traffic management. The company collaborates with major aerospace and logistics firms across Europe.
Leadership and Partnerships
Founded approximately 15 years ago by Jesper Skou, a former air traffic controller, along with another air traffic controller and a computer scientist, Skypuzzler has established partnerships with significant industry players, including Thales Group and DSV, the world’s largest logistics company, which operates a substantial fleet of commercial drones.
Currently, Skypuzzler’s platform is utilized to manage UAV operations at the Port of Rotterdam, Europe’s largest port, where nearly 100 drone operators perform various tasks, including cargo transport and survey inspections for oil leak detection.
Expansion into the U.S. Market
Recently, Skypuzzler announced an investment from United Airlines Ventures, which aims to help the company penetrate the U.S. airspace management market. The company is particularly focused on the Dallas-Fort Worth region, a hub for drone delivery operations and UTM system development. The FAA has already approved drone deliveries by operators such as Wing, Zipline, and Flytrex, with a notable agreement between Flytrex and Wing to implement the U.S. UTM Strategic Coordination standard.
However, Skou expressed concerns about the sustainability of the current DFW airspace deconfliction model, which involves only a limited number of UAV operators. He emphasized that as more aviation vehicles enter the airspace, the existing coordination methods may not be viable in the long term.
Technological Features of Skypuzzler’s System
Skypuzzler’s software can be integrated into existing UTM systems, providing both strategic and tactical deconfliction capabilities. Skou noted that the system is designed to be fully digital, allowing for autonomous operations as well as human oversight. For instance, DSV has requested a hybrid approach where human controllers can be alerted to potential conflicts between drones and manned aircraft.
Skou explained that the system enables a single drone pilot to manage multiple UAVs, significantly enhancing operational efficiency. This capability allows companies to reduce the number of pilots needed for drone operations, particularly in logistics scenarios where rapid delivery of parts and equipment is essential.
Deterministic Model vs. AI
Unlike many competitors that rely on AI technology for airspace deconfliction, Skypuzzler’s platform is based on a deterministic mathematical model. Skou highlighted that this approach ensures consistent and traceable outcomes, contrasting with AI systems that may yield variable results and lack transparency.
While acknowledging the potential of AI in various applications, Skou expressed skepticism about its current reliability for aviation safety. He noted the challenges in convincing investors of the limitations of AI in this context, as some show a preference for AI-based solutions despite the inherent risks.