Laps
When analyzing a training session in Vekta, you can choose how intervals are defined. Vekta supports three interval sources: AI-detected, Climbs & Device. (AI-detected and Climbs are currently available for cycling activities only).
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How it works
1) Effort identification
Vekta’s AI scans the session to find the start and end of each effort using signals such as power, cadence, and torque. This segments your file into clear work and recovery phases.
2) Structure analysis
Once intervals are identified, Vekta evaluates the intensity, duration, and frequency of efforts. Each interval is assigned:
3) Training stimulus labeling
Vekta then assigns a Training Stimulus label to the full session to summarize the dominant physiological demand (e.g., Aerobic, Anaerobic, VO₂max — see full list here).
Visualizing detected intervals
Toggle Show Intervals above the session streams to display the intervals on the charts.
Open the Intervals tab to see a row-by-row breakdown with summaries for each interval.
Climbs
Climbs defines intervals based on the course profile rather than effort patterns.
How it works
1) Climb identification
Vekta scans the ride’s elevation and grade data to identify continuous uphill segments that meet climb criteria (for example: sustained positive grade, meaningful elevation gain, and limited downhill interruptions).
2) Segmenting the session
Each detected climb becomes an interval with a clear start and end. This is useful when you want analysis aligned to terrain, especially for:
hilly rides and mountain routes
pacing review on long climbs
comparing repeated climbs across different days
Tip: Climbs mode is best when terrain is the main driver of performance and pacing (e.g., long steady climbs), whereas AI-detected is best when the workout contains distinct efforts regardless of terrain.
Device
Device intervals are the laps/segments defined by the athlete’s device or recording app. These intervals can be Manual laps (the athlete presses the lap button) or Auto laps (created automatically by the device).
Device intervals reflect what the athlete intended to mark (manual) or how the file was structured by default (auto).
How to use interval selection
No matter which interval source you choose, you can always:
Select intervals you care about
Deselect the ones you want to ignore
Vekta will automatically recalculate the averages and summary metrics based on only the selected intervals. This is useful for quickly answering questions like:
“What was my average power across the work intervals only?”
“How did my pacing look across climbs 2–4?”
“What were my average metrics for the first half vs second half of the efforts?”