IBL News | New York
Most cloud infrastructure today is optimised for production workloads. AI Agents would need to operate at far higher speed and scale, requiring environments that can launch in milliseconds, branch into parallel executions, support snapshots, and scale across large numbers of concurrent instances and environments. Therefore, as AI agents take on more work, they will require computing resources at a much greater scale.
That’s a new business opportunity, and some investment firms are jumping into these scenarios. Some startups, such as the Croatian-founded Daytona, are introducing sandboxes as a core infrastructure.
A sandbox is a programmatic, composable computing environment in which CPU, memory, storage, GPU, networking, and the operating system can be provisioned on demand. These environments can be started, paused, forked, snapshotted, or terminated at any point during execution.
This European company has raised $24M in Series A funding to build infrastructure designed for large-scale agent workloads, providing programmable, sandboxed compute that allows agents to run code, explore alternative execution paths, and persist state at scale.
The round was led by FirstMark Capital, Pace Capital, Upfront Ventures, Darkmode, and E2VC, along with strategic investments from Datadog and Figma Ventures. The round also includes a group of angel investors, including Gorkem Yurtseven (Co-founder of Fal), Theo Browne (Founder of T3 Chat), Eno Reyes (Co-founder of Factory.ai), Nikita Shamgunov (Founder of Neon), and others.