Your Telemetry.
Unleashed.
Keep every Peach session in one place. Overlay and compare stroke curves across sessions, and hand your training data to the same platforms the rest of endurance sports run on.
Intervals.icu
Free platform for load management, MMP curves, and athlete communication. Ideal for clubs that want powerful analytics without high software costs.
Learn more →TrainingPeaks
Coming SoonPlanned support for the most popular training platform in the world, so rowing data can sit in the same environment many pros already use.
Learn more →Standard FIT Export
Download clean rowing .fit files for archiving, sharing, or manual upload into platforms that accept FIT activity files.
How it works
From the water to your dashboard
Upload your Peach files
Drop your .peach-data files into CatchLab. Every session is parsed, stored, and instantly searchable. No manual organisation, no lost recordings.
Compare and analyse
Pick any session from your archive. Compare pieces side by side, overlay stroke curves between athletes, and watch maximal power across the full season.
Publish anywhere
One click, clean .fit file. Sync to Intervals.icu now, with TrainingPeaks and RP3 arriving soon.
Platform
Everything your coaching team needs
Stroke Curve Analysis
Clean, easy-to-read graphs of force, angle, boat speed, roll, pitch and yaw. Overlay the whole squad against a single average line and spot instantly which rowers sit far off.
Video-Linked Telemetry
Attach training video to a session and review stroke-by-stroke telemetry on the same timeline. See the force curve, boat speed and rower movement together.
Per-Seat Metrics
Catch angle, finish angle, arc, slip, wash, drive and recovery time, peak force, power and work. Broken down per seat for every piece.
Sweep & Sculling
Every boat class, from 1x to 8+. Sculling sessions show port and starboard curves side by side. Broken sensor? No problem, CatchLab works around missing data.
Platform Integrations
Sync to Intervals.icu today, with TrainingPeaks and RP3 arriving soon, plus standard .fit downloads for the rest of your stack.
Critical Power & MMP
Mean maximal power across 28 standard durations, plus a critical power model per athlete. Watch fitness move over a full season.
TrainingPeaks
TrainingPeaks support is arriving soon for clubs that already run their planning and diary workflows there.
RP3
RP3 support is arriving soon so indoor and on-water work can sit more cleanly in the same workflow.
The difference
Coaching with and without CatchLab
Without CatchLab
- ✗Peach files scattered across laptops, USB sticks and coach folders
- ✗Hard to line up two sessions and actually compare them
- ✗No way to overlay stroke curves from different days or athletes
- ✗Sharing data across coaches eats hours every week
- ✗No long-term power history per athlete
With CatchLab
- ✓Every session stored and searchable in the cloud
- ✓Stroke curves, force profiles, boat dynamics, per seat
- ✓Averaged curves with SD across any piece selection
- ✓Export to Intervals.icu now, with TrainingPeaks and RP3 arriving soon
- ✓Complete session history, stored and searchable in the cloud
Integrations
Works with the tools you already use
CatchLab exports standard .fit files. Sync directly to Intervals.icu now, with TrainingPeaks and RP3 arriving soon, or download for any platform that accepts FIT uploads.
Intervals.icu
Free platform for load management, MMP curves, and athlete communication. Ideal for clubs that want powerful analytics without high software costs.
Learn more →TrainingPeaks
Coming SoonPlanned support for the most popular training platform in the world, so rowing data can sit in the same environment many pros already use.
Learn more →Standard FIT Export
Download clean rowing .fit files for archiving, sharing, or manual upload into platforms that accept FIT activity files.
RP3
Coming SoonPlanned RP3 workout history support so indoor erg context can sit beside on-water Peach telemetry in the same athlete history.
Ready to see your data differently?
Book a short demo and see CatchLab live with your own session data.