Case Study: a mid-size financial services company achieves scalable predictive analytics with Apptomate's ML platform

Mid-size Financial Services Company builds a scalable ML platform across 50+ facilities with Apptomate

The mid-size financial services company needed to shift from static reporting to predictive analytics for risk, recommendations, and fraud detection but was hindered by fragmented data and a lack of production ML capabilities. Apptomate was engaged to design and build a production-grade machine learning platform on Google Cloud.

Apptomate built a scalable ML platform on GCP using Vertex AI, with data pipelines via Cloud Dataflow and BigQuery. The solution included a feature store, automated training pipelines, and model monitoring. This Apptomate platform now powers multiple live use cases like risk scoring and fraud detection, enabling data scientists to deploy models efficiently and business users to access insights through dashboards, all on a modular architecture for future growth.