Case Study: CLEW achieves scalable, cost-efficient critical-care machine learning analytics with Google Cloud Platform

CLEW Boosting clinical analysis with machine learning

CLEW, an Israel-based healthcare AI company, builds physiological predictive models that help clinicians prioritize treatment in critical care. As its anonymized EMR dataset and algorithm demands grew, CLEW’s original infrastructure became unstable, expensive, and required engineers to spend valuable time on maintenance instead of product development.

Partnering with MORE, CLEW migrated to Google Cloud Platform—using Compute Engine, Cloud Storage, and BigQuery—within a month. The cloud setup enabled scalable, on‑demand training of custom ML algorithms, easier secure data sharing, and reduced operational overhead, cutting infrastructure costs to about one third and freeing engineers to focus on product and research.

CLEW

Izik Itzhakov

VP Business Development