41.5%
Cost Optimization in cloud infrastructure
60%
Faster to produce training and implementation models
+10
From countries sending coughs for analysis
Virufy is a non-profit research organization developingartificial intelligence (AI) technology to identify patterns of COVID-19 by cough sounds quickly and at no cost using a smartphone. In times of pandemic generated by Covid-19, the challenge of sampling became more critical than ever. In a scenario where safety and efficiency were paramount, finding innovative solutions became a pressing need. The challenge was to ensure that samples were collected quickly, safely and accurately, while adapting to sanitary protocols and minimizing the risk of contagion. This required an efficient and agile response, and we realized thatintegrating cutting-edge methodologies such as DevOps could be key to achieving this.
Public health
How do we intervene?
Virufy develops lA technology for COVID-19 detection from cough patterns, in real time and at no cost using a smartphone. As expected, the solution has grown exponentially causing cloud costs and scalability and security requirements to increase very rapidly.
Nuvu implemented ML Ops processes on Amazon Web Services (AWS) to ensure service scalability, and cost optimization for model training and deployment as the number of users increased dramatically. AWS CI/CD files such as Codepipeline, Codebuild and Codedeploy were used in order to perform fast and secure updates as the machine learning models and product evolved.
"Together with Nuvu, we're not just addressing challenges; we're revolutionizing healthcare."
-Amil Khanzada, CEO.
Strategic Partners
Solution
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