Case Study: Arabesque AI achieves autonomous investing at scale with Google Cloud

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

Arabesque AI, an AI-driven asset management company, needed a more scalable way to train models, process growing data sets, and deliver customizable investment strategies as demand expanded beyond the US. Its hybrid/on-premises setup was becoming hard to maintain, and the team wanted to spend less time on infrastructure and more on research, using Google Cloud services rather than a vendor-heavy stack.

Apigee helped Arabesque AI streamline and scale its platform by moving to a cloud-native architecture built around managed services such as Google Kubernetes Engine, BigQuery, and Cloud Run, with APIs supporting client access and customization. The result was a 10x increase in investment coverage, up to 75% lower server costs, and a 50% reduction in new-developer training time, while freeing the team to focus on core AI research.

Arabesque AI

Nikolaos Kaplis

Chief Technology Officer