Our Blog

Stay up to date on our progress and announcements.

Getting to know Wayfinder Software Engineer, Alexandre El Assad

Why did you join Wayfinder?

Data Labeling & The Secret Language of Autonomous Flight: Part 1: The Role of Data Labeling in Machine Learning and AI

Building an autonomous aircraft that is efficient, reliable, safe, and capable of functioning at scale with thousands of other airborne autonomous vehicles is no small feat. The…

Automatic Takeoff, Wayfinder, and the Next Generation of Aircraft

Airbus has successfully completed the first ever fully automatic takeoff of a commercial aircraft, in a recent demonstration at Toulouse-Blagnac airport. This achievement marks…

How Autonomy Will Support The Growing Demand for Air Travel

Few emerging technologies embody the promise and wonder of artificial intelligence quite like autonomous vehicles, which have the potential to forever transform the way we move…

Time Flies: Wayfinder’s One Year Anniversary

It’s hard to believe one year has passed since Wayfinder started. As experts in the innovation of flight you can take it from us - it turns out time really does fly!

Wayfinder: The Video

In this post we’d like to share a visual overview of current Wayfinder initiatives so that our readers can see what our team sees!

An Inside Look at the Paris Air Show from Wayfinder Project Executive Arne Stoschek

Recently Wayfinder’s technology was prominently featured during the Paris Air Show (PAS) at Le Bourget Airport. The display showcased Wayfinder’s technology on Vahana’s Alpha

How Wayfinder is Using Neural Networks for Vision-Based Autonomous Landing

It's a critical skill every student pilot learns before being sent off on their first solo flight: how to land. No navigation instruments are needed—students are taught to look…

Wayfinder's Origin Story

All great teams need an origin story.

Welcome to Wayfinder!

In a world where annual air travel volume is expected to double by 2036 (to 7.8B passengers from 4B in 2017) and the number of pilots cannot scale quickly enough to meet that