Daytona
23 Case Studies
A Daytona Case Study
Asteroid, an AI lab building agentic LLM systems, faced a significant challenge scaling its infrastructure to meet enterprise demand. Its in-house system could not reliably provision the isolated virtual machines required for its AI agents to handle sensitive healthcare data and interact with legacy Windows applications. The company needed a managed runtime partner to handle secure VM orchestration at scale, which led them to Daytona.
By implementing Daytona's platform, Asteroid gained the ability to effortlessly provision isolated, ephemeral sandboxes for every agent execution. The solution provided instant scalability, with sandboxes provisioning in under 200 milliseconds, and enabled direct interaction with legacy Windows applications. As a result, Asteroid achieved a 500x increase in agent execution volume and now provisions over 130,000 sandboxes per month with Daytona.