Case Study: Arpeely achieves rapid global ad-scale growth with Google Cloud Platform

Arpeely Scaling an innovative data science platform globally with a small local team

Arpeely is an Israeli data science startup that uses machine learning and feature engineering to uncover hidden opportunities in online advertising. As its real-time bidding platform grew, it needed a way to scale global ad operations while keeping its R&D team small, and it chose Google Cloud Platform to support that growth.

Google Cloud Platform helped Arpeely launch and scale on managed services including App Engine, Google Kubernetes Engine, BigQuery, AutoML, Cloud SQL, Pub/Sub, Memorystore, and Cloud Storage. The result was a lean team of fewer than 25 engineers powering millions of ad predictions per second, processing 20 billion ad impressions a day, and reaching multimillion-dollar monthly revenue with the ability to test and deploy machine learning models on terabytes of data.

Arpeely

Michael Vainshtein

CTO and Co-founder