MEDICAL AI COMPANY (MAI) Making time for innovation with scalable image annotation

MAI needed the labeling work done by a consistent group of individuals who could log on remotely to the company’s own annotation tool which is custom-designed with machine learning components built-in. The work is critical to MAI’s efforts to stay ahead of the curve in providing AI-based image databases that enhance medical professionals’ understanding of health issues. One of its goals is to provide predictive advice based on tagging and analyzing images throughout a patient’s lifespan in order to enhance preventative care. MAI’s owner researched multiple companies looking for the best image tagging help. He was worried about crowdsourcing because he didn’t think the quality would be there. Some companies had preconceived ways of working with clients and were not interested in having staff work directly on his platform. Additionally, he needed workers used to dealing with images because each batch is unique in terms of what is being tagged.

MAI provides an image database for research and evidence-based healthcare and needed a way to label thousands of images quickly and accurately to further its product offering. Managing in-house staff, even on a contract basis, was time-consuming and expensive. But the image files are big and the task is complex, so outsourcing the task seemed daunting as well. Within months of choosing CloudFactory’s managed workforce option, MAI completed 12 additional imagery databases to improve its product and is sold on our managed workforce process.