Lenovo has introduced its Lenovo Race Performance Analysis platform to the Lenovo V2 Future Champ Academy – Garage 51 | DUCATI. The artificial-intelligence-based system is intended to give young riders a clearer way to work with performance information that is commonly associated with professional racing teams.

Ducati, Michele Pirro and Garage 51 created the academy to identify and develop future Ducati racing talent. Its programme consists of six championship rounds and three official tests. The support package extends beyond track activity, also covering areas such as communication and professional development.

Making timing data easier to use

The platform processes official timing information and displays it visually through a Lenovo ThinkStation P8 workstation. Riders can review lap-time trends, consistency and performance in individual sectors, helping them identify where they are gaining or giving away time against their rivals.

Lenovo ThinkBook laptops provide access to the system before and during race weekends. That allows the information from each session to be reviewed as the weekend unfolds, rather than leaving the analysis until after the event.

Michele Pirro, who helped create the academy and serves as its ambassador, says that learning to understand data early in a career can support riders as they progress towards higher levels of competition, including MotoGP and World Superbike. One current user is Devis Bergamini of Team Bull Bikes – WRS. Bergamini is three points behind the championship leader, with one round still to run.

The system is also being used by Garage 51 rider Andrea Mercaldo, who began professional racing during the current year. Lenovo’s dashboard is not reserved for riders and teams: fans can access it too, using it to follow lap-time trends and consistency during a race weekend.

A possible move beyond timing

Lenovo and Garage 51 are considering whether to add motorcycle sensor information and rider-performance measurements. If that development goes ahead, it could offer a more detailed view of the relationship between rider inputs, motorcycle behaviour and lap times. For now, the system’s role is to bring structured performance analysis into an academy focused on developing young riders.