The Mathematical Beauty of Cycling
Early accessConsulting available now
The analytics platform is coming.
The insights are available now.
We're building Velodata.ai as a self-serve analytics platform for teams and coaches. Until the app is fully ready, we work directly with you: bring your performance question, we analyze your data and deliver decision-ready dashboards and recommendations.
Product previewComing soon
Build statusIn progress
Next modules
- Rider comparison (roles, benchmarks, trends)
- Course profiling (GPX sectors & hotspots)
- Race strategy scenarios (pacing & energy)
- Team dashboards (shareable reporting)
What we do
Velodata.ai is being built as a self-serve analytics platform. Today, we support teams and coaches through hands-on consulting—so you can start making better decisions immediately.
Performance diagnostics
- Training load & intensity distribution
- Power-duration insights & benchmarking
- Fatigue / freshness signals
Course & race difficulty
- GPX stage profiling & key sectors
- Elevation / technical scoring
- Effort hotspots by kilometer
Rider comparison & selection
- Side-by-side rider metrics
- Role fit: climber / TT / sprinter / domestique
- Line-up recommendations
Race strategy modeling
- Pacing & effort scenarios
- Tactical simulations (“what-if”)
- Energy spend optimization
Data integration
- Power, HR, GPS, sleep, nutrition
- Strava / TrainingPeaks / files
- Public + private data fusion
Dashboards & reports
- Decision-ready dashboards
- Shareable reports for staff & athletes
- Iterate as your needs evolve
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