Case Study: Deepomatic accelerates AI operations and scales sustainably with Google Cloud Platform

Deepomatic More Efficient and Sustainable with Google Cloud

Deepomatic, a French AI-based visual automation scale-up serving telecom and utilities customers, needed a way to simplify operations, speed up machine learning, and support international growth without spending too much time on infrastructure management. It turned to Google Cloud Platform, using Google Kubernetes Engine and other managed services to run its platform more efficiently.

With Google Cloud Platform, Deepomatic moved to a fully managed, scalable setup that let just two DevOps staff manage about 110 production servers and more than 3,500 containers. It also cut a complex data query from 32 minutes to 7 seconds with BigQuery, while gaining flexibility to optimize costs and reduce its carbon footprint.

Deepomatic

Vincent Delaitre

Chief Technology Officer