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Mindvalley: Charting the future of lifelong learning with Vertex AI

Google Cloud Results
  • Improved CTR year-over-year by building multiple recommendation engine

  • Achieved 99% service availability on ML API endpoints to boost overall platform performance

  • Maintains a 99.9% success rate in deploying ML pipelines to support creative solution building

  • Reduces ML infrastructure cost by 20% to redirect investments toward more platform improvements

  • Built a search-and-chat assistant supported by Gemini for Google Cloud

Mindvalley used Google Cloud and Vertex AI to enhance content creation and achieve scalability and agility, revolutionizing its product development.

Thanks to the seamless interplay of advanced Google Cloud features, ranging from BigQuery to Cloud Run functions and Vertex AI, we are able to spread our mission of lifelong learning and life transformation. We gained superior scalability, flexibility, and security, with the ability to offer curated solutions powered by generative AI.

Norman Noble

Chief Technology Officer, Mindvalley

The concept of mindfulness can be found in Buddhist meditative practices dating back more than 2,500 years. Vishen Lakhiani, founder of education technology platform Mindvalley, is merging this ancient wisdom with technology, including generative AI, to help people around the world transform their lives.

Mindvalley offers personal growth programs on subjects ranging from mindfulness and meditation to fitness and spirituality. 

Its ultimate goal  is to spark transformation in one billion people to empower all people to grow and lead extraordinary lives.

After encountering technology challenges that hindered its scale and performance, Mindvalley sought to build a cloud-based infrastructure. Its scattered infrastructure technology directly impacted its ability to release product features, and managing multiple, disconnected learning platforms made it difficult to clearly see its overall business metrics.

Mindvalley embarked upon a full-fledged migration to Google Cloud. In particular, the company felt that it could work with Google Cloud as it explores artificial intelligence, partly through AI research laboratory DeepMind to give Mindvalley a greater competitive edge.

"Thanks to the seamless interplay of advanced Google Cloud features, ranging from BigQuery to Cloud Run functions and Vertex AI, we are able to spread our mission of lifelong learning and life transformation," says Norman Noble, Chief Technology Officer, Mindvalley. "We gained superior scalability, flexibility, and security, with the ability to offer curated solutions powered by generative AI."

A team sitting and spending a good time together

Transforming product development with an integrated cloud architecture

Mindvalley built its architecture on a combination of BigQuery for data analytics, Vertex AI for machine learning, Cloud Storage for data storage, Cloud Composer for resource management, and Cloud Run functions and Cloud Run for serverless computing. This interconnected infrastructure replaced its disparate technologies to reshape Mindvalley’s development processes.

By replacing its legacy infrastructure with connected Google Cloud solutions, Mindvalley has improved its scalability, so the platform can handle spikes in user demand and scale down as traffic slows. With the distributed architecture, access controls, and encryption options of Cloud Storage, Mindvalley has improved compliance and data protection. These security updates are essential because the company can better protect its customers’ personal data and more securely provide tailored product suggestions or offers.

Overall, Google Cloud has streamlined our processes, boosted efficiency, and supported our continuous growth. This has proven invaluable as we seek to open up new avenues of continuous learning for life transformation around the world.

Prithuraj Singh

Lead, Data Science, Mindvalley

Mindvalley has also significantly improved the response times and reliability of its product features. By centralizing its infrastructure, the company has also simplified its operational complexity, reducing manual maintenance for the engineers behind its products and giving them more time to focus on creative, innovative projects. 

With the analytics and added visibility into business metrics in Cloud Monitoring, the company’s leadership team can make more informed, data-driven decisions. These decisions help them more clearly pursue the company’s strategic vision and empower its users.   

"Overall, Google Cloud has streamlined our processes, boosted efficiency, and supported our continuous growth," says Singh. "This has proven invaluable as we seek to open up new avenues of continuous learning for life transformation around the world."

Two smiling women working on their laptops

Streamlining production and enhancing MLOps with Vertex AI

Moving its machine learning (ML) pipelines from Kubernetes clusters to Vertex AI was instrumental to Mindvalley's successful migration. As it began adopting AI, the startup found it increasingly difficult to manage its growing ML infrastructure. 

With the switch to Vertex AI, the company has become more efficient and can better support creative tasks. On the technical side, for example, Mindvalley has all but eliminated downtime on ML API endpoints and maintains a service availability of nearly 99%. Additionally, it has a 99.9% success rate in deploying ML pipelines—including both model training and prediction. By revamping the entire MLOps process, Mindvalley has reduced ML infrastructure costs by approximately 20%, savings it is able to reinvest in more AI-driven technologies.

"By migrating our ML pipelines to Vertex AI we have achieved significant improvements that have combined to increase productivity and operational efficiency, leading to success in numerous projects that enrich the user experience for members worldwide, while boosting our business model," says Singh. 

Mindvalley has taken the time and money previously spent on maintenance and used those resources to implement six AI recommendation engine APIs. These APIs deploy collaborative filtering and content-based filtering with TensorFlow, Cloud Run, and Vertex AI, and together have increased click-through-rates by 30% year-over-year. 

The company also built a search-and-chat assistant powered by a Large Language Model (LLM) through the integration of  Gemini Pro and open-source framework LangChain. Meanwhile, the team built an AI-driven campaign engine which provides more relevant and engaging email campaigns that leverage demographic information and behavioral data. Lastly, Mindvalley implemented an ML model for churn prediction and customer segmentation that aids in targeted customer retention efforts. The model identified potential leavers, resulting in an eight percent reduction in overall churn. 

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A future of unlimited possibility with Google Cloud generative AI

By migrating our ML pipelines to Vertex AI we have achieved significant improvements that have combined to increase productivity and operational efficiency, leading to success in numerous projects that enrich the user experience for members worldwide, while boosting our business model.

Prithuraj Singh

Lead, Data Science, Mindvalley

Our future goals with Google Cloud are to continue leveraging cloud services to implement multiple business solutions and products for our customers. In particular, we aim to identify and develop more generative AI use cases to enhance our business operations and customer experiences.

Prithuraj Singh

Lead, Data Science, Mindvalley

Mindvalley utilizes generative AI across multiple business functions. For example, it is used to improve the creation of social media marketing content. 

The company is actively preparing its teams to adopt generative AI through ongoing workshops that span various departments to showcase gen AI's capabilities and practical applications.

"Our future goals with Google Cloud are to continue leveraging cloud services to implement multiple business solutions and products for our customers. In particular, we aim to identify and develop more generative AI use cases to enhance our business operations and customer experiences," says Singh.

Mindvalley is one of the world’s leading personal growth education companies that publishes ideas and teachings by the best authors in personal growth, wellbeing, spirituality, productivity, mindfulness, and more – and combines them with cutting-edge sophisticated learning technology within engaged and supportive communities.

Industry: Education

Location: Malaysia

Products: Google Cloud, Vertex AI, BigQuery, Cloud Composer, Cloud Run functions, Cloud Monitoring, Cloud Run, Cloud Storage, Vertex AI with Gemini 1.5 Pro, TensorFlow


About Google Cloud Partner- Searce

Searce is a niche cloud consulting business with futuristic tech in its DNA, focused on “realizing the Next in the Now” for its clients. Specializing in cloud data engineering, AI/ML, and advanced cloud InfraTech, such as Anthos and Kubernetes, Searce is one of the top partners for Google Cloud globally, with 3,000+ clients successfully moved to the cloud.

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