"The explosion of AI agents capable of writing code, running experiments, and executing complex workflows has exposed a fundamental gap in how cloud infrastructure was built: today's cloud was designed for stateless production workloads, not for the dynamic, exploratory computing that agents actually require. Existing cloud primitives optimize for serving software at scale, but agents need something different - environments that launch in milliseconds, branch into parallel execution paths, persist state across failures, and scale to millions of concurrent instances simultaneously."
"Daytona addresses this mismatch directly by providing programmatic, composable sandboxes that function as full computer agents can start, pause, fork, snapshot, and destroy on demand, giving each agent its own dedicated execution environment rather than squeezing agentic workloads into infrastructure designed for a different era. Daytona's sandboxes support the full range of capabilities agents need to do real work: process execution, file system operations, native Git integration, built-in language server support, and Computer Use sandboxes for desktop automation across Linux, macOS, and Windows."
Daytona provides programmatic, composable sandboxes that act as full computers for AI agents, enabling start, pause, fork, snapshot, and destroy on demand. Sandboxes launch in milliseconds, support branching parallel execution, persist state across failures, and scale to millions of concurrent instances. They provide process execution, file system operations, native Git integration, built-in language server support, and Computer Use sandboxes for desktop automation across Linux, macOS, and Windows. The company reached a $1M forward revenue run rate in under three months and doubled it six weeks later. Customers include early-stage startups and Fortune 100 enterprises across code execution, computer use, and reinforcement learning.
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