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Developing autonomous flight and machine learning solutions for the next generation of aircraft

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aircraft scale factor

Our systems have flown on a wide range of aircraft, from small air taxis (Vahana eVTOL weighing 0.8 tons) to massive commercial aircraft (Airbus A350 weighing 315 tons) - equalling a scale factor of 400



Wayfinder contributed to Airbus' Autonomous Taxi, Take-Off and Landing (ATTOL) project which achieved an aviation world-first in 2020: autonomous taxiing, takeoff and landing of a commercial aircraft through fully automatic vision-based flight tests

Wayfinder is developing autonomous flight systems for the next generation of commercial aircraft

Wayfinder is building scalable, certifiable autonomy systems to bring about a significant increase in safety and efficiency in the next generation of commercial aircraft.

Our team of experts is driving the maturation of core technologies to power autonomous flight. We are creating a reference architecture that includes hardware and software systems, and applying a data-driven development process to enable aircraft to perceive and react to their environment.

Autonomous technologies will drive a step change in safety and efficiency

Our team is at the heart of the autonomous flight revolution. We are making rapid progress in applying machine learning to develop autonomous flight systems by:

  • Architecting dedicated Machine Learning models
  • Creating realistic simulations
  • Developing safety critical software and hardware
  • Advancing our flight testing systems with a flight test aircraft
  • Scaling our data collection capabilities and advancing our algorithms

Meet Team Wayfinder

We're building the future of autonomous flight, together. Each person on our team has a high degree of specialization where they are the authority.

Arne Stoschek

VP, AI, Autonomy & Digital Information

Arne Stoschek

VP, AI, Autonomy & Digital Information

Arne is the Vice President of AI, Autonomy & Digital Information and oversees the company’s development of autonomous flight and machine learning solutions to enable future, self-piloted aircraft. In his role, he also leads the advancement of large-scale data-driven processes to develop novel aircraft functions. He is passionate about robotics, autonomy and the impact these technologies will have on future mobility. After holding engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place, Arne dared to take his unique skill set to altitude above ground inside Airbus. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

Check out our blog and publications for more in-depth details about Wayfinder

Acubed Surpasses Goal for Massive Data Collection Campaign

Acubed has reached a tremendous milestone: we have collected data from over 100 airports across the United States. This achievement is part of our Wayfinder team’s data collection…

The Promise of Synthetic Data and Simulation to Accelerate Autonomous Flight

Synthetic data and simulation open up a world of opportunity for engineers in the aviation industry, as it promotes a safe and sustainable way to train and test machine learning…

The Next Phase of Data Collection: Expanding Acubed Test Flights Across the U.S.

Airbus is pioneering efforts to develop autonomous flight technologies that will maintain Airbus’ exceptional safety records in the wake of a dramatic increase in air travel demand…

How Aviation Communications Can Inspire Stronger Organizational Communications

“Palo Alto Ground, this is Beechcraft Baron November-eight-seven-tree-Juliett-Delta…”

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Wayfinder Job Openings

Sunnyvale, CA