‘We are writing history.’ Daedalean CEO on bringing machine learning to aviation 

Few industries have been left untouched by artificial intelligence (AI). Even heavily regulated sectors like aviation are getting to grips with the opportunities created by the deployment of machine learning models to solve complex optimization problems. 

Navigating an increasingly crowded airspace, in which the number of drones, urban air mobility vehicles and a whole range of other aircraft and flying objects is only expected to increase, is one of these challenges. 

Fortunately, machine-learning-powered systems are learning to handle increasingly complex scenarios with remarkable precision. 

Switzerland-based Daedalean has emerged as a leader in this field. Founded in 2016 and with offices in Zurich, Switzerland, Riga, Latvia and Phoenix, Arizona, Daedalean has developed a machine-learning-driven avionics system that is capable of steering an aircraft safely and efficiently through the navigationally complex airspace of the 21st century. 

The Swiss firm, which has raised some 80 million Swiss Francs to date (around US$100 million) is currently engaged in conversations with both the European Union Aviation Safety Agency (EASA) and the Federal Aviation Administration (FAA), to certify its machine-learning-base avionics technology.  

Daedalean uses advanced camera technology to help aircraft navigate environments filled with cooperative and uncooperative traffic. The advantage of this sensor-based approach is that it is data-link independent, allowing the aircraft’s systems to gain full awareness of the surrounding airspace, even in GPA-denied environments.  

The data generated by the sensors is then fed to an onboard computer system which is able to steer the aircraft and maneuver in the most optimal way. 

And in case you were wondering, we are not talking about a theoretical construct. Daedalean’s technology is a tangible reality and has already been tested onboard real aircraft.  

Using a Bell OH-58 helicopter as a testbank, Daedalean successfully tested its platform in flight, integrated into a Moog Genesys IDU-680 flight management system. Moog also actively collaborated in this effort. 

Speaking to AeroTime during the Paris Air Show in June 2025, Daedalean CEO, Bas Gouverneur shared a wealth of information about the firm’s ongoing projects, its leadership in the field of AI-enabled aviation, and outlined his vision for the future of aviation. 

You can watch the full video below. 

The post ‘We are writing history.’ Daedalean CEO on bringing machine learning to aviation  appeared first on AeroTime.

Go to Source