Case Study: MedCAD achieves faster, fully traceable MLOps workflows with Scopic

MedCAD speeds model iteration 50-60% with Scopic

The customer MedCAD, a provider of medical imaging solutions for orthopedic modeling, faced significant challenges in scaling their AI. They struggled with version control for their models and datasets, long manual retraining cycles, and a lack of traceability that posed compliance risks. Scopic was engaged to implement an MLOps solution to address these issues.

Scopic designed and implemented a comprehensive end-to-end MLOps framework utilizing tools like uv, DVC, and MLflow on AWS infrastructure. This solution automated retraining and validation workflows, ensured complete reproducibility, and established full audit trails. The results for MedCAD included a 50-60% faster delivery cycle, the ability to onboard new engineers in minutes, and complete traceability for healthcare compliance.

MedCAD