Case Study: Arabesque AI achieves scalable AI-powered portfolio management with Google Cloud Platform

Arabesque AI Delivering autonomous investing at scale through data, machine learning, and AI

Arabesque AI, an asset-management AI company, needed a scalable way to process large amounts of market and ESG data, train models, and deliver investment analytics without a heavy infrastructure burden. After joining the Google Cloud for Startups program, it adopted Google Cloud Platform services including Google Kubernetes Engine, BigQuery, Cloud Run, and other managed tools to support its growing platform.

With Google Cloud Platform, Arabesque AI migrated its entire infrastructure to the cloud, using GKE for autoscaling and multi-region deployment, Cloud Run and Cloud Functions to reduce operations overhead, and BigQuery as a petabyte-scale data warehouse. The result was a more automated, cost-effective system that let the small team scale up to thousands of cores for model training and then scale back down quickly, while improving productivity and enabling fast analytics with minimal operational overhead.

Arabesque AI

Nikolaos Kaplis

Chief Technology Officer