Case Study: Hudl achieves 10x faster annotation and 40% faster review with Cord

Hudl cuts review time by 40% and boosts annotation speed 10x with Cord

Hudl, a sports analytics company, faced challenges with manual and disconnected video annotation workflows that slowed down their data processing for machine learning. Their previous vendor's platform was not video-native and lacked integration for pre-labeling and analytics, causing bottlenecks between annotation and data science teams. They turned to Encord's annotation and data management platform to address these issues.

By implementing Encord, Hudl integrated its own ML models for pre-labeling and utilized automated validation agents. This solution achieved a 10x improvement in annotation speed for tracking data and a 40% reduction in review time for ice hockey tracking. Encord provided the necessary tools and collaborative environment to significantly accelerate Hudl's model development cycles.

Hudl