Case Study: Miro accelerates AI innovation and scales faster with Amazon Web Services

A Amazon Web Services Case Study

Preview of the Miro Case Study

Accelerating Innovation for Miro Users with Generative AI Models Built on AWS

Miro, a collaboration platform with millions of users, needed a way to handle highly variable traffic while keeping latency low, error rates minimal, and costs under control. Using Amazon Web Services, including Amazon EKS, Miro sought a scalable foundation for deploying generative AI services and supporting tools like Miro Assist without sacrificing user experience.

With Amazon Web Services, Miro implemented a standard blueprint for production-ready generative AI microservices that reduced deployment time from months to weeks. The solution improved scalability, reduced overprovisioning, and enabled users to get insights in seconds instead of days, while also strengthening security through AWS encryption and IAM controls.


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Miro

Ayala Ohyon

Head of Data Science


Amazon Web Services

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