Sports Analytics
Player and ball tracking, action recognition, and event timeline generation for performance and broadcast analytics.
Computer Vision
Frame-accurate labeling, object tracking, and event tagging for video understanding models.
Video adds a layer of complexity that image annotation doesn't have: object identity must hold steady across hundreds of frames, events unfold with a start and end in time, and data volumes scale up fast. Our teams pair interpolation-assisted tooling with human keyframe review to produce temporally consistent object tracks, activity labels, and event annotations at production scale — with per-track quality checks that catch identity switches and tracking drift before data ever ships.
Player and ball tracking, action recognition, and event timeline generation for performance and broadcast analytics.
In-store customer movement tracking, dwell-time analysis, and shelf-interaction labeling for store optimization.
Scene segmentation, activity tagging, and highlight detection for automated video editing and content recommendation.
Labeling for PPE compliance, hazard proximity, and unsafe behavior detection in industrial or warehouse video feeds.
Every project runs through multi-tier QA: annotators are benchmarked against gold-standard tasks before production, batches are statistically sampled against agreed accuracy targets, and ambiguous cases are escalated and documented in a living labeling guide. You receive accuracy reports with every delivery.
Yes — we recommend it. A paid pilot batch on your real data lets you evaluate our quality, turnaround, and communication before scaling. Pilot learnings become the project's labeling guide.
Client data is encrypted in transit and at rest, access is limited to the assigned project team under NDAs, and we support VPN-restricted or client-hosted workflows where data cannot leave your environment. Retention and certified deletion terms are set per engagement.
We work in your annotation platform or ours, and deliver in the format your pipeline expects — COCO, YOLO, Pascal VOC, JSON, CSV, or a custom schema — with delivery via API, cloud bucket, or scheduled export.
Start with a pilot batch — see our quality on your data before you commit.