Case Study: Top Global Insurance achieves 94% F1 accuracy and 10x reduction in labeling costs with Snorkel AI

Global Insurance Provider Company - Customer Case Study

Global Insurance Provider Company needed to classify and extract information from tens of thousands of complex websites to automate answers for downstream applications. They engaged Snorkel AI and used Snorkel Flow to build scalable information‑extraction applications across data science, developer, and subject‑matter expert teams.

Using Snorkel Flow, Snorkel AI enabled collaborative, programmatic labeling and model development that delivered a 94% F1 score (94% average accuracy) in just three person‑weeks, reduced labeling costs 10x, and was 8x faster than hand‑labeling.