Case Study: Alpha Vertex achieves 20% faster machine-learning training and scalable AI-driven investing with Google Cloud Platform

Alpha Vertex Smarter investing with artificial intelligence

Alpha Vertex builds AI-powered analytics to help finance professionals forecast market opportunities, ingesting millions of pieces of unstructured data daily and training up to 20,000 machine‑learning models concurrently. Running on bare‑metal became hard to manage and scale—consuming the CTO’s time and threatening the fixed windows available for retraining and delivering predictions.

Alpha Vertex migrated core infrastructure to Google Cloud Platform, using 64‑core Intel Xeon “Skylake” Compute Engine instances, Google Kubernetes Engine, BigQuery, Cloud Storage and other managed services, plus Preemptible VMs for cost savings. The move cut model training time by about 20%, enabled hundreds of new model inputs and improved prediction accuracy, supported 5x growth in compute without raising costs, and let a seven‑person team operate powerful big‑data solutions while freeing leadership to focus on product innovation.

Alpha Vertex

Michael Bishop

CTO and Co-Founder