With the help of students from German universities, our strong active-learning system and a clever software interface, we are able to annotate data at least 5x faster and 25% cheaper compared to inhouse labeling, while we focus on impeccable data security and expert training for our students.

Sequel to the example:

The BotUniversity will be a closed room close to a German University (starting with the University of Bremen), where 30 students label Your data in parallel. The room with access restriction will be open everyday for registered students. We value expert training, reward great performance and ensure a good working environment for our students, so that they can deliver great labels. For this specific example, we would pick students from engineering courses who already have prior knowledge on how a good weld would look like. These prospective experts deliver great annotations with high consistency. By high parallelization of the task, the aid of our active-learning system and a well-optimized software interface, we can reduce the time needed for the specific task from 10.5 months to 1.5 months while reducing cost.