About
PlayrPath started with a simple gap: talented young athletes go unseen because there's no reliable way for scouts to find them. So we built a platform where scouts and scouting networks log in and search anonymized athlete data for exactly the profiles they're looking for — surfacing players on merit, wherever they happen to play. To make that data trustworthy, clubs first had to capture it — and PlayrPath grew into an AI-native platform for the clubs themselves. Grassroots sport runs on volunteers; most clubs can't recruit or afford enough qualified coaches, and player development, safety and admin suffer for it. PlayrPath closes that gap. An AI layer sits on top of the club's data and surfaces what matters before anyone goes looking — an athlete overdue to return from injury, a lapsed coaching license, a player whose attendance is slipping. It automates the busywork, building compliant training and match schedules around coach availability, venues and licensing rules. And it acts as an always-on assistant coach — generating position-specific drills, development plans and game-day tactics from each athlete's evaluation history, so a volunteer with limited experience can coach like a seasoned one. For more established clubs and academies, PlayrPath layers in biometric data — training load, recovery and injury-risk signals from wearable sensors — turned by the same AI into plain-language guidance on who to manage, push or rest. Underneath it all is a PIPEDA protected, single verified, portable record for every athlete that follows them across sports, seasons and clubs — the same record that, with consent, lets the right athletes finally be discovered.