The data layer for applied AI. Curated training and evaluation sets your models can actually be judged on.

• Model-assisted pre-labeling

  Draft annotations are proposed by your own checkpoints, then corrected by trained reviewers in a single tool.

• Layered quality pipeline

  Confidence scores decide how much human review a task earns — from a spot check to a full three-pass audit.

• Every geometry, one task

  Boxes, polygons, keypoints and 3D cuboids can be combined inside a single labeling task and one schema.