Hustle is built with safety at its core and uses AWS Rekognition, a machine-learning–powered computer vision service from Amazon Web Services, to help monitor training videos and shared media for unsafe or inappropriate content. Rekognition analyzes visual frames within uploaded videos and images to identify predefined categories such as explicit or suggestive content, unsafe imagery, and other policy-relevant signals. This analysis happens automatically in the background, allowing Hustle to proactively detect content that may require attention without relying solely on manual review or user reporting.

When Rekognition flags content, Hustle creates a clear, time-stamped record tied to the specific video or interaction. Parents are notified when content is flagged by the AI moderation system, ensuring transparency and awareness rather than surprises discovered later. This creates a documented, objective layer of oversight that protects athletes by surfacing potential issues early, while also protecting trainers by providing an unbiased system of record around what was shared, when, and why it was reviewed. Nothing is hidden, nothing happens off-platform, and everything lives in a single monitored environment.

By leveraging enterprise-grade AI infrastructure used across industries that require high standards of trust and compliance, Hustle sets a higher bar for youth sports technology. The result is a safer, more accountable training ecosystem—one where parents have visibility, athletes are protected, and trainers can coach confidently knowing the platform itself is designed to support responsible, professional interactions.