Case Study: Google achieves replacement of 100K+ hand labels and a 52% performance boost with Snorkel AI

How Google used Snorkel to build and adapt content classification models

Google faced rapidly changing content, product, and event classification problems that made traditional hand-labeling too slow and costly. To solve this, Google partnered with Snorkel AI and deployed early versions of Snorkel Flow’s core programmatic labeling technology across three high-impact teams.

Snorkel AI repurposed existing organizational resources as labeling functions, turning hours of development into tens or hundreds of thousands of labeled examples. The solution replaced 6 months of hand-labeling in 30 minutes, substituted 100K+ hand labels (10–100K+ per use case), and delivered a 52% performance improvement—accelerating ML adoption and positively impacting the bottom line.

Google