HPILAB

Turn Athlete Data Into Development Insight

AI supports coaches. Coaches make decisions. HPILAB's approach is to bring records into a reviewable summary, preserve the source evidence and let a coach challenge the interpretation. Automated summaries and report generation are not enabled in this release.

01

Coach-note synthesis

Intended workflow: group repeated observations by skill and date, with links back to the original note. Conflicting observations should remain visible rather than be averaged away.

02

Progress summaries & trends

Intended workflow: compare like-for-like assessments and highlight gaps in evidence. Changes in age, protocol or conditions must be considered before interpreting a trend.

03

Evidence-linked reports

Intended workflow: connect each development signal to a dated score, clip or observation. A coach reviews and edits the report before sharing it.

04

What AI does not decide

AI must not make selection, scholarship, injury or medical decisions. No accuracy, performance improvement or talent-prediction result is claimed here.

Let's talk

Discuss Your Review Workflow

Tell us who you support and what you need to record. We will discuss a suitable next step.

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