Case Study: Velmeni achieves 10x faster dental X-ray annotation with V7 Darwin

A V7 Case Study

Preview of the Velmeni Case Study

How Velmeni Uses V7 to Aid Dental Pathology Detection

Velmeni, a healthcare AI company based in Silicon Valley, is building an X-ray analysis tool to help dentists detect dental pathologies more accurately and efficiently. To support its mission, the company needed to annotate large volumes of medical images, create reliable QA workflows, and meet the high quality and security requirements of medical AI, so it turned to V7 Darwin for data annotation and management.

V7 provided Velmeni with medical imaging annotation tools, pixel-perfect auto-annotation, an intuitive interface, S3 integration, and hands-on customer support. With V7, Velmeni accelerated annotation speed by 10x, improved accuracy and quality assurance, reduced costs, and got its MVP to market much faster than expected.


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Velmeni

Mini Suri

Co-founder and CEO


V7

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