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Daytona Raises $24M for Composable Computers as Agent Infrastructure Hits Enterprise Scale
Daytona reached $1M forward revenue run rate in under three months. Six weeks later, it doubled.
The speed reflects enterprise urgency around a fundamental infrastructure gap: current cloud platforms were built for production workloads—stateless, immutable systems optimized to run the same code the same way every time. AI agents need the opposite: persistent, stateful environments where they can experiment, branch execution paths, and recover from failures at massive scale.
The Infrastructure Mismatch
Enterprise adoption of AI agents is hitting a hard infrastructure bottleneck. While agents can reason through complex workflows and make decisions, they break when deployment infrastructure treats every workload like a web server.