Capgemini launches AI fan platform for Tour de France
Thu, 2nd Jul 2026 (Today)
Capgemini and A.S.O. have launched an AI-based fan platform for the Tour de France that gives users personalised race stories during each stage.
Called Inside My Race, the product combines live race data, rider positions, tactical developments, historical information and editorial material to explain the action as it happens. Users can track up to four riders and use an interactive 3D map to compare their progress with the front of the race.
The launch adds a new digital layer to one of the world's most data-rich sporting events. Instead of presenting raw figures and dashboards, the platform turns race information into short narratives that explain why a move matters, how teams are shaping a stage and where an individual rider sits within the broader contest.
Capgemini built the service as part of its role as official technology partner of the Tour de France and the Tour de France Femmes avec Zwift. The system draws on real-time inputs, including group positions, speed, gaps and terrain conditions, and combines them with summaries, interviews, expert insights, images, video and historical race data.
How it works
The platform adapts content to the riders and stages each user selects. A fan following a leading contender can receive a different account of the same stage from someone tracking a national rider in a breakaway or a sprinter waiting for a later finish.
A 3D visualisation tool sits alongside the written updates, showing the relationship between selected riders and the head of the race through each stage. It gives users another way to understand changing time gaps and the movement of groups on the road.
The companies are positioning the product as part of a wider push in sport towards more personalised coverage. Rights holders and event organisers have been looking for ways to make live competition easier for casual viewers to understand while still serving committed followers who want closer detail on tactics and rider performance.
Stage racing poses a particular challenge because of its complexity. A Tour de France stage can include several breakaways, shifting alliances within the peloton, team tactics built around multiple leaders, and route conditions that alter the race picture minute by minute.
That can make cycling harder to follow than sports with simpler scorelines or shorter formats. By translating live developments into tailored stories, the platform aims to give newer viewers more context without forcing experienced fans to rely only on television commentary or streams of statistical updates.
Scale is one point of emphasis. The system is being used in a live sporting setting where thousands of race data points must be processed and presented quickly to a large audience across web and mobile channels.
Partnership focus
The release of Inside My Race also offers an early marker of Capgemini's partnership with the Tour. According to the company, the platform was conceived and deployed in the first year of its relationship with the race organiser.
Julien Goupil, media and partnership director at A.S.O., outlined the organiser's aim for the product.
"Inside My Race' is a key step in our long-term ambition to open up cycling to a wider global audience, bring fans inside the race and build a personalized experience for them," said Goupil. "Together with Capgemini, we are making the dynamics of the race easier to understand in real time, before, during and after the stage, helping both dedicated fans and newcomers connect more deeply with the sport, the event and their favorite or national riders. This innovation supports our vision to make cycling more accessible, engaging, and relevant as we continue to grow our global fan base."
For Capgemini, the project is also a test of how generative AI can be applied in a high-pressure live environment. Sports events have become a proving ground for technology groups seeking to show that AI systems can process and present changing information for mass audiences without losing clarity or speed.
Thomas Hirsch, global head of external communications, reputation and sponsorships at Capgemini, said the setting brought technical and operational demands.
"Applying generative AI at scale in the intensity of a live sporting environment like the Tour de France is where innovation truly comes to life, bringing together data, technology and operational excellence to deliver real time impact," said Hirsch. "Developed in close collaboration with the Tour de France, this solution was conceived and deployed in the very first year of our partnership, seamlessly combining multiple data sources at the pace of the race itself. It demonstrates Capgemini's ability to run advanced solutions in live environments, where reliability, speed, and agility are critical, enhancing the experience for millions of fans worldwide."
The product is available across official Tour de France digital platforms, including the race website, mobile app and race centre. It marks a further move by sports organisers to use AI tools not only for internal operations and data analysis, but also for consumer-facing editorial products built around live competition.