Rockso, your training assistant for sustainable progress.

A mobile app that brings sports physiology research and AI into the hands of athletes, coaches and organisations, to manage training load, anticipate fatigue and progress without burning out.

Training assistant Multisport Injury prevention

Rockso is currently in private beta. We are looking for athletes, coaches and performance staffs to co-design the next generation of decision-support tools.

What does Rockso look like?

A mobile experience built for the field: a home screen focused on your latest session, week-by-week recommendations and a very simple view of the indicators that actually matter.

Preview of the Rockso app on mobile and watch

Visual preview of the Rockso mobile experience – non-clickable marketing mock-up.

A training assistant grounded in your data.

Rockso combines sports science and AI to help athletes, coaches and organisations manage training load, anticipate fatigue and reduce injury risk across multiple sports.

Rockso connects your sessions, perceived exertion and daily context to suggest simple adjustments: when to stabilise, increase or reduce load, when to switch to cross-training, and how to adapt key weeks.

Product preview Static mock-up
Weekly load
+18%
Injury risk
High
Current micro-cycle Overreaching
Sleep & recovery Fragile
Athlete availability To monitor
Today
Run session
Zone 3 • 45 min
Perceived exertion
RPE 7/10 • heavy legs
Rockso recommendation
“Reduce volume tomorrow and focus on recovery.”

The screens shown here are non-clickable marketing mock-ups illustrating the product vision.

What Rockso helps you do

Continuous load analysis

Rockso analyses how your sessions chain together (intensity, volume, frequency) alongside day-to-day stress, and highlights sensitive periods where adjusting training becomes critical.

Seamless multi-sport

Running, cycling, triathlon, football, padel, tennis, skiing… Rockso brings endurance sports, team sports, racket sports and winter sports into a single view – even when traditional platforms keep them separate.

Actionable recommendations

Instead of leaving you with abstract metrics, Rockso turns your data into simple decisions: increase, stabilise or decrease load, switch to cross-training, adapt a key week to your real-life context.

For demanding athletes, coaches and organisations

Athletes & dedicated amateurs

Understand how training cycles, sleep and daily life influence your sensations, performance and injury history. Put numbers behind what you feel, and adjust without skipping steps.

Coaches & performance staff

Save time on monitoring, visualise dynamics in load and adjust sessions in a few clicks based on how athletes actually respond. Rockso acts as a training assistant and a decision-support tool.

Clubs, academies & teams

Centralise squad data, compare volumes between groups and make it easier for coaches, physical preparation and medical staff to align around a shared view of load and health.

An approach rooted in sports science

Rockso is built on research in exercise physiology, injury prevention and data science. The goal is not to “predict” the future, but to offer a robust and actionable reading of training load, stress and fatigue over time.

  • Models informed by longitudinal athlete data.
  • Support for multi-sport practice (running, cycling, team sports, etc.).
  • Explainability of the signals behind alerts and recommendations.

Co-building with the field

We are looking for pilot teams, coaches and organisations to confront theory with the reality of everyday training and adapt the models to your constraints.

Talk about a pilot

Your data stays your data

Rockso is designed with a strong focus on confidentiality and data governance. Athletes and organisations remain in control of their data and decide what they want to share and with whom.

  • Secure hosting and separation of environments.
  • Transparency on which data is used by the models.
  • In the future, potential decentralised scenarios (data monetisation, sharing with research projects, etc.) within a controlled framework.

For more details about how we handle personal data, please refer to our privacy policy (currently available in French).

View privacy policy (FR)