Sapien provides expert and scalable logistics data annotation services to fuel the development of AI models in the education technology sector with high-quality training data
Our labelers have extensive experience working with logistics data across various modes of transportation, supply chain processes, and industry verticals. They understand the nuances and complexities in logistics training data.
At Sapien, we tailor our annotation processes to the specific needs of the logistics industry, which includes tasks like classifying and extracting information from shipping documents, labeling vehicle and package images, annotating geospatial data, and analyzing sentiment in customer feedback.
Our multi-stage QA processes, combining automated checks and expert reviews, ensure training data of the highest accuracy and consistency. Sapien's QA is designed to meet the stringent standards of mission-critical logistics applications.
The Sapien platform and logistics labeling software enables on-demand scaling of annotation throughput to meet aggressive EdTech product development timelines. Scale your project up or down with dedicated teams.
Sapien maintains strict data security and privacy controls during logistics data labeling, and data privacy-compliant practices for all logistics data annotation tasks. Our annotators are trained to handle sensitive logistics data responsibly.