The explosion of AI brokers able to writing code, operating experiments, and executing advanced workflows has uncovered a elementary hole in how cloud infrastructure was constructed: right this moment’s cloud was designed for stateless manufacturing workloads, not for the dynamic, exploratory computing that brokers truly require. Current cloud primitives optimize for serving software program at scale, however brokers want one thing totally different – environments that launch in milliseconds, department into parallel execution paths, persist state throughout failures, and scale to tens of millions of concurrent cases concurrently. Daytona addresses this mismatch instantly by offering programmatic, composable sandboxes that perform as full pc brokers can begin, pause, fork, snapshot, and destroy on demand, giving every agent its personal devoted execution setting slightly than squeezing agentic workloads into infrastructure designed for a distinct period. Daytona’s sandboxes assist the complete vary of capabilities brokers must do actual work: course of execution, file system operations, native Git integration, built-in language server assist, and Pc Use sandboxes for desktop automation throughout Linux, macOS, and Home windows. The corporate reached a $1M ahead income run fee in beneath three months and doubled it six weeks later, with prospects spanning early-stage Y Combinator corporations and Fortune 100 enterprises throughout use instances in code execution, pc use, and reinforcement studying.
AlleyWatch sat down with Daytona CEO and Cofounder Ivan Burazin to study extra in regards to the enterprise, its future plans, current $24M spherical that brings complete funding to $31M, and far, rather more…
Who had been your buyers and the way a lot did you elevate?
We raised a $24M Collection A led by FirstMark Capital, with participation from Tempo Capital, Upfront Ventures, and E2VC. The spherical additionally included strategic investments from Datadog and Figma Ventures.
Inform us in regards to the services or products that Daytona provides.
Daytona builds infrastructure for AI brokers. We offer programmatic, stateful sandboxes that brokers can begin, pause, fork, snapshot, resume, and destroy on demand. Whereas conventional cloud infrastructure was constructed for stateless manufacturing workloads, AI brokers want long-lived environments that behave extra like computer systems than containers. Daytona provides each agent its personal composable pc.
What impressed the beginning of Daytona?
We noticed a transparent mismatch between how AI brokers function and the way cloud infrastructure was designed. Brokers write code, run experiments, recuperate from errors, and department execution paths. Current primitives had been constructed for serving software program, not creating it. Daytona was began to construct infrastructure purpose-built for agentic workloads.
How is Daytona totally different?
Most infrastructure right this moment is optimized for stateless companies. Daytona focuses on stateful, programmable environments that may be manipulated in actual time. Brokers can fork execution paths, snapshot environments mid-run, resume from failure, and run at huge parallel scale. We’re not optimizing containers; we’re constructing a brand new primitive: composable computer systems for brokers.
What market does Daytona goal and the way huge is it?
We function on the intersection of cloud infrastructure and AI. As brokers transfer from prototypes into manufacturing, each agent would require its personal execution setting. We imagine the market alternative spans your entire cloud infrastructure stack because it shifts to assist agent-native workloads. Given the dimensions of worldwide cloud spend and the speedy development of AI, this represents a multi-billion-dollar market alternative.
What’s your enterprise mannequin?
We function as a usage-based infrastructure platform. Clients pay for the compute, storage, and orchestration assets consumed by their brokers operating on Daytona.
How are you getting ready for a possible financial slowdown?
We’ve constructed the corporate with capital effectivity in thoughts from day one. Our focus is on robust unit economics, disciplined hiring, and delivering clear ROI to prospects. When corporations consider infrastructure spend, options that instantly enhance reliability and cut back operational complexity have a tendency to stay mission-critical.
What was the funding course of like?
The funding course of was rigorous however finally rewarding. We centered on constructing a compelling narrative round our product’s worth and potential. Partaking with buyers who share our imaginative and prescient was essential. This concerned a number of rounds of conferences, displays, and due diligence. The assist from current buyers and the momentum from our open-source launch performed a major position in attracting new curiosity and shutting the seed spherical efficiently.
What are the largest challenges that you just confronted whereas elevating capital?
One problem was articulating why brokers require a basically totally different infrastructure primitive. This isn’t an incremental enchancment to current cloud companies, it’s a structural shift. Serving to buyers absolutely grasp the size of that shift required readability and precision.
One problem was articulating why brokers require a basically totally different infrastructure primitive. This isn’t an incremental enchancment to current cloud companies, it’s a structural shift. Serving to buyers absolutely grasp the size of that shift required readability and precision.
What components about your enterprise led your buyers to write down the verify?
Sturdy early adoption, speedy development, and clear market pull had been key. Clients are already operating giant volumes of agent workloads on Daytona. The mixture of technical depth, actual utilization, and a transparent long-term infrastructure imaginative and prescient gave buyers conviction.
What are the milestones you intend to realize within the subsequent six months?
We plan to develop our enterprise footprint, deepen integrations throughout the agent ecosystem, proceed scaling reliability and efficiency, and ship extra capabilities that make agent orchestration extra programmable and composable.
What recommendation are you able to provide corporations in New York that would not have a contemporary injection of capital within the financial institution?
Deal with constructing one thing prospects really want. Income and powerful buyer pull create optionality. In tighter markets, capital flows towards corporations with clear traction, disciplined execution, and merchandise that clear up actual ache factors.
The place do you see the corporate going now over the close to time period?
Within the close to time period, we’re centered on changing into the default execution layer for AI brokers. As brokers tackle extra duty throughout industries, we would like Daytona to energy the infrastructure behind that shift.
What’s your favourite winter vacation spot in and across the metropolis?
A winter stroll via Central Park after contemporary snowfall is difficult to beat. It’s a type of uniquely New York moments that by no means will get previous.
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