Current coaching software.
This is the live AthlyraX coaching workspace for planning, system schedules, session execution, tracking, and review.
It reflects the current operational version, not a shell page or demo layer.
AthlyraXThis is the live AthlyraX coaching workspace for planning, system schedules, session execution, tracking, and review.
It reflects the current operational version, not a shell page or demo layer.
Current release in active club workflow use.
The User Guide is the how-to section for setup, workflows, and daily operation.
Use Software Sign In to open the live coaching workspace.
AthlyraX converts raw swimming data into capability insights: Speed, Efficiency, Aerobic, Repeatability, Stability, Drift, Power and Speed, and Progression.
Instead of only reporting times, it interprets how the swimmer is currently expressing capability and where development opportunities are strongest.
Evidence inputs include stroke count, splits, rep times, total distance, stroke type, and test formats such as 8x25, 8x50, 100m, and 200m.
This keeps decisions transparent, evidence-based, and coach-readable.
Standard swim analytics usually stop at descriptive reporting. AthlyraX links training evidence to capability interpretation, so planning is guided by what the data means, not just what happened.
The engine applies exposure targets, evidence weighting, and capability modelling to generate a calibrated snapshot.
Sample capability profile: Speed 74%, Efficiency 69%, Aerobic 66%, Repeatability 61%, Stability 63%, Drift 58%, Power and Speed 71%, Progression 65%.
The radar shows balance across capability areas. Larger, rounder coverage means more complete expression; sharp drop-offs identify specific constraints to target next.
Percentages represent current expression against calibrated expectations. Interpretation explains where performance is stable, where it drifts, and what training priorities will move the profile forward.
AthlyraX is designed for research collaboration with universities and performance labs. Modules can be expanded, calibration logic can be validated, and domain-specific layers can be added for targeted research programs.