Case Study: DemaTrading achieves faster scaling and greater efficiency with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the DemaTrading Case Study

DemaTrading Making cryptocurrency investing accessible with AI and machine learning

DemaTrading, a rapidly scaling new trading company, was being held back by its existing architecture and needed a way to grow faster while improving efficiency and stability. To support its expansion, DemaTrading turned to Google Cloud Platform for infrastructure and machine learning tools, including services like Cloud Tasks and BigQuery.

With Google Cloud Platform, DemaTrading automated background work, reduced maintenance from about 4 hours a week to 15–30 minutes, and cut monthly overheads. The company also improved its development workflow, achieving a 20% better bugs-to-features ratio and reducing downtime from 5 hours per month to zero, while using BigQuery and machine learning to optimize trading and build personalized recommendations.


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DemaTrading

Marijn van Rijswijck

Founder


Google Cloud Platform

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