Case Study: Skydio achieves precise, scalable training data for advanced drone autonomy with Scale AI

Skydio - Customer Case Study

Skydio, an autonomous drone company based in Redwood City, needed large, varied labeled datasets to train its subject-tracking and obstacle-avoidance models so its drones could operate reliably in forests, mountains, and over water. To avoid diverting engineering resources to annotation, Skydio partnered with Scale AI and adopted Scale AI’s Polygon Annotation (Polygons) to handle complex labeling at scale.

Scale AI delivered a flexible annotation platform, responsive support, and custom feature development plus rigorous QA, letting Skydio focus on model development instead of labeling. The partnership shortened turnaround—Skydio could roll out new projects in a few weeks with minimal internal development time—improved data quality for the autonomy stack, and supported product advances such as the Skydio 2.

Skydio

Rachel Basse

Data Engineer