Case Study: Iodine Software improves healthcare delivery with ClearML

Iodine Software cuts model rework by 25% with ClearML

Iodine Software, a healthcare AI company, faced the challenge of efficiently managing and deploying over 150 machine learning models used to improve clinical documentation and patient care. Their data science team needed a solution to track experiments, manage code and data, and collaborate effectively while maintaining strict security protocols for sensitive health data on their on-premises infrastructure. They implemented ClearML, an MLOps platform, to address these inefficiencies.

Using ClearML provided Iodine with a unified system for experiment tracking, data versioning, and model management. The solution eliminated a significant amount of rework, saving their team time previously lost to repeating experiments. It also enabled secure collaboration by allowing external consultants to access compute resources without being exposed to sensitive data. ClearML's on-premises capability was a key differentiator, ensuring data remained secure while streamlining the entire model development and deployment lifecycle for Iodine.

Iodine Software