AVIA · Annotation
Label and review at production quality.
A closed labeling loop across images, video, and documents — where model errors flow back as the next batch's labeling priorities.
How it works
A loop, not a queue.
Ingest, curate, label, review, train, deploy — then production errors feed straight back into what gets labeled next.
Capabilities
Built for teams shipping AI in production.
Multimodal labeling
Boxes, masks, keypoints, polylines, and document spans in one workflow.
Built-in QA
Consensus scoring, review queues, and automated checks before data ships.
Active learning
Prioritize the samples that will move your model — not just the next in line.
10×
Faster labeling iterations
5+
Annotation modalities
QA
On every batch
BYO
Storage & models
In practice
Where it earns its keep.
Robotics & autonomy
Label perception data — boxes, masks, keypoints — at production quality.
Industrial inspection
Curate defect and assembly datasets with consensus review.
Document & multimodal
Annotate spans across documents, images, and video in one workflow.
FAQ
Questions, answered.
Images, video, and documents — boxes, masks, keypoints, polylines, and spans.
Turn labeling into a flywheel.
See how AVIA Annotation closes the loop between your data and your models.