Canyon-Sram Taps FasCat for AI Coaching Work
The Canyon-Sram women's cycling squad has named FasCat Coaching its AI research and development partner for the rest of 2026.
Updated on Nov. 10, 2026 in Cycling
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Canyon-Sram announced FasCat Coaching as its AI research and development partner for the remainder of 2026. The team will use FasCat's CoachCat platform to run an AI-powered season review on its riders.
Why it matters
The partnership brings AI-driven analysis of riders' full performance histories into team planning as Canyon-Sram prepares for the 2027 season. It follows the squad's earlier work with FasCat ahead of this year's Tour de France Femmes.
FasCat Coaching has been in business since 2003, and CoachCat analyzes training blocks using heat, altitude, training load, heart rate and sleep monitoring. The source does not quantify any measured performance gains from the platform.
The players
Canyon-Sram
Canyon-Sram is a professional women's cycling team based in Germany that competes on the UCI Women's WorldTour calendar.
FasCat Coaching
FasCat Coaching is a sports coaching and performance analytics company that has operated since 2003 and developed the CoachCat platform.
Kasia Niewiadoma-Phinney
Kasia Niewiadoma-Phinney is a Polish professional road cyclist who is leaving Canyon-Sram for Lidl-Trek.
The details
Canyon-Sram will use FasCat's CoachCat AI coaching platform to run an AI-powered season review on its riders, examining their performance history throughout their careers. The platform evaluates training blocks against heat, altitude, training load, heart rate and sleep data.
Timeline
Earlier in 2026: Canyon-Sram worked with FasCat to generate race predictions for the Tour de France Femmes.
Remainder of 2026: FasCat serves as the team's AI research and development partner.
2027 season: Canyon-Sram enters the season with roster changes, including the departure of Kasia Niewiadoma-Phinney to Lidl-Trek.
Season Trajectory
The partnership adds AI-based performance review to Canyon-Sram's planning as the team reshapes its roster for 2027, with Antonia Niedermaier set to take on Niewiadoma-Phinney's leadership role at the sport's biggest races. Using a platform built on a rider's complete history positions the squad to test whether data-driven review can guide its next season.
The season review will feed into planning for Canyon-Sram's 2027 roster, which is already shifting with Niewiadoma-Phinney's departure. Fans tracking the team's rider moves should watch how the squad's lineup develops over the coming season.
The takeaway
AI-based performance analysis is moving from race-day predictions into full-season rider review in professional cycling. Teams and fans alike can expect data-driven planning to shape roster and training decisions going forward.
Further reading
For more on the sport, see the latest in Cycling.
Source note: This article includes information reported by Cyclingnews.
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