Case Study: MD.ai achieves faster, scalable medical AI annotation with Apigee

Supporting smarter medical AI research and development

MD.ai, a healthcare AI research and development company, needed a better way to create high-quality annotated medical datasets and build machine learning models. Its challenge was making image annotation faster, more scalable, and more reliable for hospitals and research teams working with complex medical imaging data.

Apigee helped MD.ai implement its cloud-based Annotator workflow on Google Cloud Platform, with scalable infrastructure and healthcare data support to streamline dataset creation and collaboration. The solution reduced project image management from hours to seconds and helped 1,300 teams process more than 30,000 images, improving annotation quality and enabling faster AI development for medical providers.

MD.ai

George Shih

Co-Founder