V7
29 Case Studies
A V7 Case Study
Velmeni, a dental AI company, needed to efficiently annotate large volumes of X-ray images to develop its diagnostic tool while meeting the high quality and security standards of medical AI. Their challenge was to build a reliable QA workflow and accelerate their data annotation process to train a highly accurate model.
V7 provided Velmeni with its Darwin data annotation platform, which featured auto-annotation and an intuitive interface. This solution accelerated their annotation process tenfold, allowing them to build their MVP much faster than anticipated. As a result, Velmeni minimized costs, de-risked product development, and trained a highly accurate model for detecting dental pathologies.