Case Study: Alis Exchange achieves lower AI costs and faster forecasting with Looker

Rezco and Alis Exchange Building ML models at scale, with clearly defined cloud architecture

Alis Exchange, a Luxembourg-based software company serving asset management firm Rezco, needed a scalable way to build its AI-driven Alis Alpha market-forecasting system as complexity and data volumes grew. Working with Looker’s Google Cloud environment, the team sought a more structured, cost-effective foundation to support financial analysis and model development.

Looker helped Alis Exchange reshape its architecture with a definitions-first approach and cloud-native services, creating the Alis Build platform to power Alis Alpha. The result was major gains in efficiency: model training costs dropped from $800 to just over $100, latency fell from 15 milliseconds to 2 milliseconds, and the system now scales to petabyte-scale processing with minimal downtime and faster iteration.

Alis Exchange

Jan Krynauw

Chief Executive Officer