What we build
Turn raw telemetry and match data into actionable insights for athletes and coaching staff.
Detect, track, and classify athletes and events in real time from video streams.
Enrich the spectator experience with real-time data narratives and intelligent media tools.
Featured prototypes
Real-time player tracking and movement analysis from broadcast video using pose estimation.
AI-assisted coaching feedback that surfaces patterns and anomalies from training session data.
A knowledge graph connecting athletes, events, and statistics for semantic sport search.
A live match data pipeline that aggregates and normalises event streams across multiple sources.
How we work
We operate as a cross-disciplinary applied research lab inside the university — combining academic rigour with startup speed.
Engineers, analysts, designers, and sport scientists working on the same problems.
Ideas become testable prototypes in weeks, not months. We ship to learn.
Every hypothesis is grounded in real sport data. We measure what matters.
Deep sport knowledge paired with applied AI expertise — both sides matter.
Join a team of engineers, analysts, designers, and sport scientists working on real AI projects in sport.