Case Study: Mindvalley achieves greater MLOps efficiency and AI-driven growth with Google Cloud Platform

Charting the future of lifelong learning with Vertex AI

Mindvalley, a lifelong learning company, was struggling to manage its growing machine learning infrastructure as it expanded its AI efforts. Its ML pipelines, previously running on Kubernetes clusters, had become difficult to maintain, making it harder to support product development and creative work.

Google Cloud Platform helped Mindvalley migrate its ML pipelines to Vertex AI, streamlining MLOps and improving reliability. The move nearly eliminated ML API downtime, achieved 99% service availability and a 99.9% pipeline deployment success rate, and cut ML infrastructure costs by about 20%. Mindvalley also used the savings to launch AI recommendation APIs, a search-and-chat assistant, and churn prediction tools, driving a 30% year-over-year increase in click-through rates and an 8% reduction in churn.

Mindvalley

Prithuraj Singh

Lead, Data Science