Sports & Broadcast
Frame-accurate event tagging, tracking identities and live stat production across five sports.
Proven at 40,000+ live events a season.

PlayBreak delivers annotation, ground truth, model QA and live data operations for vision AI teams — sport-grade precision from a trained, QC-managed workforce, 24/7.

Bounding boxes, segmentation, key points and tracking identities, labelled to your schema by analysts trained on your task.
Reference-grade datasets with per-batch agreement scores, built for training and for evaluating what you already ship.
Your model's output, verified and corrected by trained reviewers, with every error filed against a documented taxonomy.
Event collection and structured data production from live feeds, staffed around the clock against your calendar.
White-label delivery inside your workflow and your tools. You keep the process; we supply the trained people and the quality layer.
Sports is where the method was built and proven. The same training, QC and shift discipline transfers to any domain where a model has to read the real world.
Frame-accurate event tagging, tracking identities and live stat production across five sports.
Proven at 40,000+ live events a season.

Person and object tracking, shelf and zone events, and review queues for footage that has to hold up after the fact.
Lane, sign and agent labelling on road scenes, including the night, weather and occlusion cases that break a perception stack.

Grasp points, part and defect labelling, and pick-and-place event review for models working on a line.

Imagery and point cloud annotation, feature extraction and change detection across passes of the same ground.
Preference ranking, response grading and structured evaluation sets produced under the same agreement scoring as our vision work.
Any format, under NDA.
Gold-set QC, dual-annotation sampling, IAA scored.
Data in your schema, plus a QA report you can audit.
Under NDA. No commitment.