Synthetic datasets, pixel-perfect autolabels, and training-ready pipelines. Built for production.
Four modules. One pipeline. From raw pixels to a model ready to deploy.
Synthesise new variants that mirror your real-world distribution. Scale training data without the collection cost.
Label with vision models — bounding boxes, segmentation, classification. 85% accuracy at roughly 100x annotator speed.
Variant pipelines that fill in edge cases and improve robustness. Domain-specific transforms, automated.
Automated validation — anomaly detection, label verification, integrity checks on every batch.
From agriculture to aerospace — domain-specific synthetic datasets and AI labeling for any computer vision application.
Crop disease detection, weed identification, yield prediction, precision farming.
Disease diagnosis, medical imaging, X-ray analysis, skin lesion detection.
Defect detection, semiconductor inspection, quality assurance, process monitoring.
Dataset gallery
Real examples from our data generation and autolabel platform.
Skylark
Apple Scab
Airport X-Ray
Road Lanes
Crop Field
Teeth X-Ray
Melanoma
Wafer Defect
Chest X-Ray
Metal Gear
