How does it work?

CARPL’s MLOps platform enables healthcare teams, AI developers, and research labs to seamlessly take their radiology AI models from concept to clinical deployment. With built-in data ingestion from PACS, VNA, or local sources, along with in-browser anonymization and standardized preprocessing, CARPL streamlines the entire pipeline.

Developers can train and fine-tune models using Jupyter Labs, then containerize and version their models for easy reuse. Once validated against ground truth and benchmarked against commercial tools, models can be deployed directly into clinical workflows, no custom integration or workflow disruption required.