Is this replacing my coaching judgment?

No. VO2 Labs is built to support your decisions, not override them. The product surfaces patterns, context, and research-grounded options so you spend less time hunting through exports and more time coaching.

You stay responsible for load, risk, and what you tell each athlete. We aim to make those calls easier and better informed, not automatic.

Who is VO2 Labs best for?

Performance coaches and small teams who manage a meaningful roster (often on the order of 10–150 athletes) across wearables, training tools, and notes. If you are tired of stitching five apps into a weekly picture, you are in the right place.

If you only need a single-device chart for one athlete, a generic dashboard may be enough. We focus on unifying signals and turning them into weekly priorities.

What makes this different from a dashboard?

Most dashboards stop at charts. VO2 Labs is oriented around interpretation: what changed, what matters now, and what you might do next, with room to ask questions in plain language and get answers tied to sports science where that applies.

The goal is fewer tabs and fewer “what am I looking at?” moments before you talk to an athlete or adjust a block.

Can I test interventions with clients?

Yes. Client Labs are meant for structured, practical experiments: define a change, track how the athlete responds, and keep what works. That helps you move from one-off guesses to repeatable coaching habits.

How you run Labs should match your scope of practice and any rules from your employer or governing body.

How do you protect athlete identity when using AI?

We use LLMs and other models to help interpret data and answer coaching questions, but athlete names are not sent to those models. Identifiers stay on our side; prompts are built from de-identified or abstracted context (for example, metrics, trends, and time ranges) so raw names are not exposed to the LLM layer.

We design this so you get useful guidance without turning every coaching conversation into a dump of personal identifiers into a third-party model.

What do the models actually see?

Typically the kinds of things you would use in a coaching meeting: load and recovery signals, trends, anomalies, and the questions you ask in product. We avoid sending unnecessary personal detail upstream when it is not needed to answer the question.

Exact retention and subprocessors evolve as the product does; ask us on a call if you need specifics for your org.

Is VO2 Labs a medical device?

No. VO2 Labs is a coaching and analytics tool. It does not diagnose, treat, or replace licensed medical advice. Use clinical judgment and refer out when something belongs in a medical or emergency setting.

How should I think about data accuracy?

Wearables and integrations vary in quality. We aggregate what your sources send us; garbage in still means noisy signals out. Use VO2 Labs as one layer of context alongside how the athlete feels, your eye in the room, and your program design.

Who can see my athletes' data?

Access should follow your account and permissions model: coaches and staff you invite, within the boundaries you set. Do not share credentials, and use strong account hygiene on your side, the same way you would for email or your training software.