The Croatian Revolution: Daytona Secures $24M to Build the Digital Foundation for the AI Agent Era
By securing a $24 million investment, Daytona has not only gained capital for growth; it has received confirmation that its vision of 'millions of computers for agents' is a vital component of the internet's next phase


In the history of technological development, there are specific moments that define a paradigm shift. The transition from mainframes to Personal Computers (PCs) changed how we work; the rise of the Cloud changed how we store data. Today, in 2026, we are witnessing a third great wave: the shift from infrastructure built for humans to infrastructure built exclusively for AI agents. At the helm of this revolution is the Croatian startup Daytona.
The End of the Mac Mini Era: Why AI Needs a New Kind of Hardware?
In recent months, the tech community has witnessed a fascinating phenomenon. Enthusiasts and early adopters of AI technology are mass-purchasing Mac Minis and similar compact computers to run systems like OpenClaw locally. The reason is simple: AI agents—autonomous software entities that can write code, browse the web, and execute tasks without human supervision—need a "place" to work.
However, as Daytona co-founder Ivan Burazin points out, what works for hobbyists is unusable for global industry.
"At the level of an individual enthusiast, a Mac Mini makes sense. It’s the same as someone once having their own server in the basement," Burazin explains. "But the moment companies like OpenAI, Figma, or Datadog want to integrate thousands of agents solving problems for millions of users simultaneously, physical machines become a bottleneck. You cannot have ten million Mac Minis in a basement. You need a solution that is elastic, instantaneous, and fully programmable. That is where Daytona comes in with its sandbox concept."
What are "Composable Computers" Actually?
The core of Daytona's technology isn't just "virtual server rental." What Burazin, Goran Draganić, and Vedran Jukić have developed is a completely new paradigm they call composable computers.
In a traditional Cloud environment (like AWS or Azure), spinning up a virtual machine can take seconds or even minutes. For a human user, this is acceptable. For an AI agent operating in milliseconds, it is an eternity.
Daytona’s sandboxes are optimized for:
- Speed: Launching in a fraction of a second.
- Temporality: The agent finishes the task, and the computer shuts down instantly, consuming no further resources.
- Forking (Branching): Much like developers "fork" code on GitHub, an AI agent can duplicate its entire working environment in a millisecond to test two different solutions to a problem in parallel.
Deep Integration: These sandboxes come with a pre-configured operating system, memory, GPU support, and network access—all delivered as a software primitive managed by AI via API.
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