Case Study: Arabesque AI achieves scalable autonomous investing with DoiT International and Google Cloud

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

Arabesque AI, a UK-based financial services company, uses artificial intelligence to analyze market behavior and build customizable investment strategies. As demand grew, the company needed a scalable infrastructure that could handle expanding data sources, rapid model training, and global deployment without heavy on-premises maintenance. It turned to DoiT International and Google Cloud services such as Kubernetes, BigQuery, Cloud Run, and App Engine to support its growth.

DoiT International helped Arabesque AI optimize its Google Cloud setup, simplify billing, and accelerate its migration to BigQuery, saving the team two days of work on the solution. With Google Kubernetes Engine, Cloud Run, and serverless data tools in place, Arabesque AI increased its data streaming and analysis capacity by 10x while cutting server costs by around 75%. The company also reduced training time for new hires by half and shifted more of its team’s focus toward research and product innovation.

Arabesque AI

Nikolaos Kaplis

Chief Technology Officer