Case Study: LogoGrab achieves 45% server cost savings and on-demand autoscaling with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the LogoGrab Case Study

LogoGrab scaling up and cutting costs with Google Cloud Platform

LogoGrab is a Dublin-based image-recognition startup that provides a brand-detection API used for social media monitoring, counterfeit detection, and retail intelligence. As image and video analysis grew (peaking at hundreds of millions of images a month), its detection servers became expensive to run under prepaid contracts and rigid infrastructure, forcing the company to find a scalable, cost-efficient solution to handle large, spiky workloads.

LogoGrab migrated its detection stack to Google Cloud Platform, using Compute Engine, autoscaling, and flexible pricing to ramp capacity up and down as needed and take advantage of sustained-use discounts. The move — completed with Google support and zero customer downtime — cut server costs by 45%, improved resource tuning and peak-handling, and freed the team to focus on product growth and data services like BigQuery.


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LogoGrab

Collette Doyle

Marketing Director


Google Cloud Platform

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