Sports Performance

Video is the richest, most abundant, and most underutilised data source in sport. Every match is filmed — by Hudl, by Veo, by broadcast cameras, by phones on the sideline. Every training session, every academy game, every scouting clip. The footage already exists in vast quantities across every sport and every level. What's been missing is the ability to extract structured, actionable data from it at scale.

Computer vision and AI have changed that equation. Object detection, player tracking, event recognition, tactical pattern analysis — capabilities that were once the domain of expensive, manual workflows are now automatable, scalable, and increasingly accurate. The organisations and product companies that harness video intelligence will have a genuine competitive edge — not just at elite level, but across the entire pyramid.

We've built MatchGraph — our proprietary video intelligence platform — to operate at this frontier. It extracts structured data from sports video through object detection, event extraction, player identification, graph analytics, and natural language queries. It's sport-agnostic by design but deeply sport-specific in application. And it's the technology accelerator that underpins everything we do in this space.