Summary
Lenovo says it has deployed an AI-based dashboard that converts official racing timing data into visual performance insights for Ducati’s Future Champ Academy. The company says the dashboard is also publicly available to fans.
Contents
What changed
Lenovo says it has deployed Lenovo Race Performance Analysis, a proprietary AI-based dashboard for the Lenovo V2 Future Champ Academy – Garage 51 | DUCATI. The company announced the system on 11 September 2026.
The academy was created by Ducati, rider Michele Pirro and Garage 51 to identify and develop young racing talent. Its programme consists of six championship rounds and three official tests. Lenovo is the academy’s title partner and provides technology and motorsport expertise for rider development.
The announced change is not only the use of a digital analysis tool in the academy. Lenovo says the same dashboard is publicly available rather than being restricted to riders and their teams. Riders access it on Lenovo ThinkBook PCs before and during race weekends, while Lenovo says the underlying solution is powered by a Lenovo ThinkStation P8 workstation.
How the dashboard works
The currently described system uses official racing timing data and turns it into visual views of performance. Lenovo says these include:
- lap-time trends;
- performance stability;
- sector-by-sector mapping; and
- comparisons with rivals on the grid.
A lap-time trend shows how a rider’s recorded times change across laps or sessions. Sector analysis divides a circuit into sections, helping identify where a rider gains or loses time. Performance stability generally refers to how consistently a rider maintains pace, although Lenovo has not disclosed how the dashboard calculates that measure.
Riders can reportedly use the views while preparing for and participating in race weekends. Fans can examine lap-time trends and consistency over a weekend through the public-facing version.
The announcement does not identify the AI model, algorithms, training data, data pipeline or processing latency. It also does not establish that the current system uses motorcycle telemetry, biometric information or detailed rider-input data. The hardware roles are clearer: Lenovo says the ThinkStation P8 powers the solution, while ThinkBook PCs provide access for riders.
Why it matters
For young riders, turning raw timing records into comparable visual information could make performance review more structured. Lenovo says the project gives academy riders access to a type of analysis traditionally associated with professional MotoGP teams.
The public component also changes how racing data can be viewed by fans, who can examine visual lap-time and consistency trends over a race weekend.
The value of comparisons depends on the quality and context of the data. Timing can show that one lap was faster than another, but it cannot by itself explain every difference. Traffic, track conditions, bike settings and rider inputs may all affect a lap time. Those factors become particularly important when comparing riders across different sessions or circumstances.
Lenovo and Garage 51 are exploring the possible addition of motorcycle sensor data and rider-performance metrics. Those features could provide more context in the future, but the announcement does not say they have already been integrated.
Limitations and what to watch
The evidence for the dashboard comes from Lenovo’s manufacturer announcement. It establishes what Lenovo says it built, how the company says it is being used and which functions have been described.
The announcement provides no technical benchmarks, sample analyses, accuracy measures or comparison with existing racing-analysis systems. It also does not explain how rival comparisons account for differences in equipment, track conditions, traffic or session timing.
The public-access claim remains underspecified. Lenovo does not provide the dashboard URL in the supplied material, say whether access is global or explain whether the public version offers historical races, downloadable data or only current race-weekend views.
The next meaningful developments will be whether sensor and rider-performance data are added, whether Lenovo publishes details of the analytical methods and data sources, and whether the project produces evidence of measurable benefits for the academy’s riders.