Case Study: Franklin.ai creates training data batches 95% faster with V7 Darwin

Franklin.ai speeds batch creation 95% with V7

Franklin.ai, a healthcare company specializing in digital pathology, needed to create highly accurate training data from enormous Whole Slide Image (WSI) files. Their challenge was managing, storing, and annotating these files without diverting significant engineering resources, all while ensuring patient data remained secure in their own private storage.

Using the V7 Darwin platform, Franklin.ai implemented a solution that integrated directly with their AWS S3 infrastructure, allowing a global team to annotate data without it ever leaving their private bucket. This collaboration decreased the time needed to create batches of 10,000 images for their training pipeline from 10 hours to just 30 minutes, a 95% improvement, and enabled them to deploy their first product to market.

Franklin.ai