INEOS bets on AI to discover the next Pogacar
INEOS Grenadiers has taken a new step in its innovation and talent acquisition strategy by announcing a collaboration with Swansea University to develop advanced data analysis and artificial intelligence solutions applied to the identification of young cyclists with elite potential. The aim of the project is to transform the way professional teams detect and track the progression of future talents in the international peloton.
INEOS Grenadiers bets on AI to detect new talents alongside Swansea University
The alliance is structured through the Applied Sport, Technology, Exercise and Medicine (A-STEM) Research Centre at the Welsh university, a center with extensive experience in high-performance sports and already collaborating with top-level organizations in football, rugby, and swimming. In this case, the focus shifts to professional cycling and one of the most recognized teams in the WorldTour for its scientific approach to performance.
The first joint project is titled, in translation, Towards the Development of Advanced Digital Models for Efficient Talent Identification in Professional Cycling, and will include a PhD student integrated directly into the structure of INEOS Grenadiers. Their work will focus on the development of data-driven systems capable of identifying emerging riders, as well as overlooked talents, more early and effectively, despite the complexity and unpredictable nature of sports evolution at young ages.

RECOMENDADO
Do you find it difficult to eat or drink on the go? Here are some tips to ensure you don't run out of fuel
A 2021 Canyon with a dropper post—what’s the story behind Shimano’s blue bikes?
30-minute roller sessions to improve
No time to train? Here's how you can keep improving on your bike
Understanding the RPE scale is key to training based on how you feel
Pogacar and the limits of the tire: Roubaix will determine how far one can go
To achieve this, the project will combine internal performance metrics of the team with public competition data. Based on this foundation, automated tools will be designed to monitor the development of junior cyclists in different countries, detect outstanding performances, and build a complete “digital footprint” of their training history and competitive progression.
From INEOS Grenadiers, their performance director, Scott Drawer, emphasizes that data science and artificial intelligence represent “the next frontier of cycling”, and that such collaborations with the academic field are part of a broader strategy to accelerate the practical application of scientific knowledge in the day-to-day operations of the team.
On the part of Swansea University, Professor Liam Kilduff, head of the A-STEM center, highlights the importance of establishing lasting partnerships with leading organizations in professional sports, capable of generating a real impact on performance and talent detection processes.
In a context where professional cycling is becoming increasingly global and competitive, with a growing number of countries contributing riders at the highest level, early talent identification has become a key factor. With this project, INEOS Grenadiers seeks to strengthen and optimize that process, relying on AI to not miss the next generation of elite cyclists.