Case Study: Virufy achieves scalable COVID screening with Blend360 and AWS

Virufy cuts cloud costs by 41.5% with Blend360

Virufy, a global nonprofit, needed a rapid and scalable way to detect COVID-19 using cough audio analysis. Their challenges included the need for a highly adaptable infrastructure to keep pace with the evolving virus, managing intensive but sporadic compute demands for machine learning, and ensuring robust data privacy for sensitive health information. They partnered with the vendor Blend360 to address these challenges using AWS services.

Blend360 implemented a DevOps-automated, cloud-native solution on AWS, leveraging services like Amazon SageMaker for machine learning and a serverless architecture with AWS Lambda. This approach resulted in a 41.5% reduction in infrastructure costs and 60% faster model deployment cycles. The solution enabled Virufy to successfully process cough recordings from over ten countries, providing an accessible and affordable screening tool with zero-downtime updates.

Virufy