Every knowledge worker needs a computer. Agents will need millions.
Daytona has raised a $24M Series A led by FirstMark Capital to build the infrastructure that makes this possible. Matt Turck, General Partner at FirstMark, joins the board.
The Cloud Wasn't Built for This
Today’s cloud infrastructure was built for production workloads: stateless, immutable, optimized to run the same code the same way every time.
That works for serving software. It doesn’t work for creating it. When humans work, we need real computers: machines where we can install packages, run experiments, make mistakes, and recover.
Agents need the same thing, except at a scale and speed humans never required: environments that launch in milliseconds, fork into parallel branches, snapshot mid-execution, and scale to millions of concurrent instances.
This isn’t an extension of existing infrastructure. This is an entirely new primitive.
The Composable Computer
The primitive is what we call a sandbox. At Daytona, we think of sandboxes as programmatic, composable computers. These are full computing environments where CPU, memory, storage, GPU, networking, and the operating system can be composed on demand, then started, paused, forked, snapshotted, or destroyed at any point.
An agent using Daytona can launch a sandbox, work for hours, hit a decision point, and fork into parallel branches to explore different approaches. Promising branches can be snapshotted. Others torn down. State persists across failures. Execution paths can be cloned, resumed, or merged. Workloads can run for minutes or days.
We believe the next infrastructure shift is from human-centric cloud primitives to agent-native ones. Daytona’s breakthrough is making ‘a computer for every agent’ practical: instant startup, persistent state, and the tooling agents need to write code, use Git, and execute safely at scale. That’s a foundational building block for the agentic economy, and we are thrilled to partner with Ivan, Vedran and the Daytona team.
Matt Turck, Partner at FirstMark
The Results
Daytona reached a $1M forward revenue run rate in under three months. Six weeks later, it doubled.
Today, Daytona runs agent workloads for early-stage YC companies and Fortune 100 enterprises alike. Customers include LangChain, Turing, Writer, and SambaNova spanning three core use cases: code execution, computer use, and reinforcement learning. Different industries, different scales, same underlying requirement: reliable, stateful compute that agents can actually do real work on.
We’re thrilled to double down in Daytona. The team’s relentless pace and obsession over developer experience have been truly inspiring to witness, best reflected by the constant activity and customer love in the Daytona Slack and X. It is just the beginning of this new agent era infrastructure opportunity, and we cannot think of a better and more focused team than Daytona to take it on.
Kevin Zhang, GP at Upfront Ventures and Daytona board member
Backed By
Daytona is backed by FirstMark Capital, with participation from Pace Capital, Upfront Ventures, Darkmode, and E2VC, as well as 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. We’re grateful for their early belief and for the founder perspective they bring as we build agent-native infrastructure.
What Comes Next
Sandboxes are just the starting point. As agents take on more work, the entire infrastructure stack will have to be rebuilt from first principles with the agent as the primary consumer.
That’s what we’re building at Daytona.
