Case Study: Augury achieves scalable machine health insights with Looker

Augury Transforming manufacturing through real-time machine health insights

Augury, an Israel-based industrial AI and IoT company, needed a scalable cloud platform to support its rapidly growing machine-health service and a rebuilt IoT platform. As its enterprise customer base expanded, Augury also needed to manage large volumes of sensor data reliably while keeping machine-failure predictions fast and accurate. Looker was part of the broader Google Cloud stack referenced in the case study, which supported Augury’s analytics-driven workflow.

Looker and Google Cloud helped Augury streamline data analysis and scale its operations through services such as Google Kubernetes Engine, BigQuery, and Dataflow, enabling real-time monitoring and faster research cycles. The result was a smoother, more efficient platform that could handle surges in telemetry, keep latency aligned with SLAs, and deliver continuous machine-health insights. According to the case study, Augury achieved major business impact, including reducing machine failure by 75% and saving manufacturing plants millions of dollars.

Augury

Gal Shaul

Co-founder and Chief Technology Officer