Daytona, a New York-based infrastructure company, has raised $24 million in Series A funding to build what it calls "computers for AI agents." The round was led by FirstMark Capital, with participation from Pace Capital and existing investors Upfront Ventures, E2VC, and Darkmode. Strategic investments also came from Datadog and Figma Ventures.
Matt Turck, General Partner at FirstMark Capital, has joined Daytona's Board of Directors alongside the financing. The company plans to use the capital to expand capacity, hire talent, and invest in sales and marketing.
Today's cloud infrastructure was designed for stateless, immutable production workloads. It wasn't built for the experimental, iterative nature of how AI agents work. Daytona is addressing this gap by providing what it calls "sandboxes"—programmatic, composable computers where CPU, memory, storage, GPU, networking, and operating systems can be configured on demand.
These sandboxes can be started, paused, or snapshotted at any point. An AI agent can launch one in milliseconds, explore multiple decision paths by forking into parallel branches, and snapshot mid-execution to ensure state persists across failures. This architecture enables agents to perform complex tasks like code execution and reinforcement learning at a scale and speed humans never needed.
"We believe the next infrastructure shift is from human-centric cloud primitives to agent-native ones," said Matt Turck, Partner at FirstMark. "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."
Daytona's growth has been rapid. The company hit a $1 million forward revenue run rate in under three months and doubled that figure just six weeks later. Customers range from early-stage Y Combinator companies to Fortune 100 enterprises, including LangChain, Turing, Writer, and SambaNova.
Primary use cases span code execution, computer use, and reinforcement learning. But the company's immediate challenge isn't finding customers—it's keeping up with them. Daytona says it's currently hardware-constrained and will use the new funding to add capacity and expand into new regions.
Hiring is another priority. Daytona currently employs 20 people and plans to grow that number significantly. The remainder of the funding will go toward sales and marketing, where the company has taken a deliberately low-tech approach: meetups, hackathons, and conferences.
Most of its customers are concentrated in San Francisco, and Daytona has leaned into that geography rather than fighting it. The strategy appears to be working, with the company's Slack community and X presence reflecting what investor Kevin Zhang calls "constant activity and customer love."
Daytona was founded to provide infrastructure for what its team sees as an inevitable shift toward an agentic economy. By offering programmatic, stateful sandboxes that launch in milliseconds, the company enables AI agents to execute code, use computers, and perform reinforcement learning at massive scale.
"We're thrilled to double down in Daytona," said Kevin Zhang, GP at Upfront Ventures and Daytona board member. "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."
The company is backed by FirstMark Capital, Pace Capital, Upfront Ventures, E2VC, Darkmode, Datadog, and Figma Ventures. With its latest round of funding, Daytona is positioning itself as a core infrastructure provider for the next generation of AI-powered work.
