How it works
Our Solutions
Our humans in the loop are here to help you collect and annotate the highest quality training data and to then validate and correct your model’s predictions
Stage 1
Dataset collection
Don’t have a training dataset yet? We can collect, generate and curate any type of data as close as possible to your use case and deliver a ready-to -use dataset
Stage 2
Dataset annotation
Already have a dataset but it’s not annotated? We can help by labeling your assets with bounding boxes, polygons, semantic segmentation and more
Stage 3
Model validation
Have a model which is already trained? We can test the model on new data and correct wrong predictions as well as handle edge cases in real time where certainty is low