Case Study: Fortune 500 Biotech Company achieves 99.1% extraction accuracy, $10M labeling savings and processing of 300K clinical‑trial documents in minutes with Snorkel AI

Fortune 500 Biotech - Customer Case Study

Fortune 500 Biotech Company faced the challenge of extracting critical chronic disease data from large volumes of clinical trial documents, a task that normally requires deep domain expertise and extensive manual labeling. They partnered with Snorkel AI and used Snorkel Flow to build an automated extraction pipeline.

Snorkel AI implemented a custom Snorkel Flow solution that programmatically adjusted and re-labeled the label schema, enabling rapid model iteration; the system processed ~300K documents in minutes and achieved 99.1% accuracy on the extraction pipeline. Using Snorkel AI’s approach saved the company an estimated $10M in labeling costs and reduced a schema-adjustment process from one year to one day.