Our work
Results that changed the brief.
Every project starts with a question from a client and ends with evidence from the real world. Here's what we found, and what it changed.
Unlocking the future of youth football scouting
Pro Legacy asked us to validate their vision of an AI platform for scouting youth football talent, testing whether the concept held up against real-world workflows and cultural realities.
Building Image Recognition systems for people with prosthetics
State of the art image recognition systems often label prosthetics as items such as hairdryers, chairs, and bottles. Together with the Amputee Care Center by Spronken in Genk, Belgium and people wearing prosthetics, we explored the impact of such misrepresentations and reimagined how these systems can be build more inclusively.
Improving self-driving cars by understanding the urban environments of people across the E.U.
As we place self-driving cars (SDCs) in the real world, the cars will need to understand specific real-world environments. But what exactly do they need to understand? What are the obstacles they will encounter?
Making food detection systems inclusive of global audiences.
We’ve created a report on how four widely used foundation image recognition models could better deal with images of food from people in 13 different countries across four continents.