This is like giving football scouts a supercomputer assistant that has watched every match in the world and read every stats sheet, then pointing it at "find us the next star that fits exactly how West Ham plays."
Traditional player scouting is slow, subjective, and limited by human capacity to watch matches and process data. This platform uses AI and cloud analytics to systematically search huge global talent pools, match players to West Ham’s style and needs, and surface the best targets faster and more reliably.
Combination of club-specific playing philosophy and proprietary performance data, encoded into models and filters, plus a long-term data asset and workflow integration with West Ham’s scouting processes.
Hybrid
Vector Search
High (Custom Models/Infra)
Data quality/coverage across global leagues and integration of heterogeneous video, event, and tracking data at scale.
Early Adopters
Tightly co-developed with a specific Premier League club’s philosophy and workflows, rather than a generic off-the-shelf scouting dashboard; likely blends club-specific labels, custom models, and AWS-scale infrastructure to search broader data than a typical scouting department can handle.