Case Study: Grushome achieves faster visual IoT development with Google Cloud and Looker

A Google Cloud Platform Case Study

Preview of the Grushome Case Study

Grushome Accelerating development and adoption of visual IoT solutions for diverse usage scenarios

Grushome, a China-based visual IoT technology company, needed better global connectivity and more efficient ML model training to speed up development and improve service quality across its enterprise and consumer IoT platform. It had been challenged by slow cross-region data transfers, cumbersome disaster recovery, and time-consuming on-premises AI training workflows, so it turned to Looker’s cloud ecosystem for a more scalable solution.

Looker helped Grushome modernize its platform with managed cloud tools including Vertex AI, VPC, Compute Engine, BigQuery, and Dataflow. The result was faster AI-powered IoT development, including shortening solution development time by two months, launching some features in as little as one week, and reducing operational costs by 20%, while also improving cross-region service reliability and data processing efficiency.


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Grushome

Xiaodong Zeng

Chief Executive Officer


Google Cloud Platform

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