Daytona Secures $24M Series A for Agent-Native AI Compute Infrastructure
February 10, 2026, 3:37 pm
Daytona announces a $24 million Series A funding round. FirstMark Capital led the investment. The company develops crucial infrastructure for AI agents. Its innovative sandboxes provide programmatic, composable computing environments. These systems empower AI agents to execute code, utilize computers, and perform reinforcement learning at significant scale. This funding targets a fundamental redefinition of cloud computing for the emerging agentic economy.
Daytona, a pivotal infrastructure company, has completed a $24 million Series A funding round. This significant capital injection fuels its mission. The company builds programmatic, composable computers for AI agents. This marks a new era in compute infrastructure.
FirstMark Capital led the investment. Matt Turck, General Partner at FirstMark, joins the Daytona Board of Directors. Pace Capital also participated. Existing investors Upfront Ventures, E2VC, and Darkmode reaffirmed their commitment. Strategic investments came from industry giants Datadog and Figma Ventures. A group of notable angel investors also contributed to the round. These included founders from Fal, T3 Chat, Factory.ai, and Neon. The new funding brings Daytona’s total raised to $31 million. This includes a $5 million seed round from June 2024. Upfront Ventures led that earlier round.
Daytona addresses a critical gap in modern computing. Current cloud infrastructure supports human workflows. It excels at stateless, immutable production tasks. It offers consistent execution. However, AI agents demand different environments. They require flexibility. They need stateful operations. They must experiment. Agents need to install packages. They must fork execution paths. They need to recover from failures efficiently. Traditional cloud systems fall short here.
Daytona provides these specialized environments. It introduces "sandboxes" as a core infrastructure primitive. These are programmatic, composable computing environments. They launch in milliseconds. CPU, memory, storage, GPU, networking, and the operating system provision on demand. These sandboxes offer dynamic control. They can start, pause, fork, snapshot, or terminate at any point. This enables agents to explore alternative execution paths. They can persist state across operations. They can scale to millions of concurrent instances.
The company's technology facilitates advanced AI tasks. Agents use sandboxes to run code. They can explore complex decision trees. They can perform reinforcement learning. Promising branches are snapshotted. Less productive paths are discarded. State persists through failures. Execution paths clone, resume, or merge seamlessly. Workloads run for minutes or for days. This represents a paradigm shift. It moves from human-centric to agent-native cloud primitives.
Daytona was founded in 2023. Ivan Burazin serves as CEO. Vedran Jukić is CTO. Goran Draganić is Chief Architect. The company originated in Croatia. Its rapid growth demonstrates strong market validation. Daytona reached $1 million in forward annual recurring revenue quickly. It doubled that figure in just six weeks. This rapid traction highlights urgent demand.
Its customer base is diverse. Early-stage Y Combinator companies utilize the platform. Fortune 100 enterprises also rely on Daytona. Noteworthy clients include LangChain, Turing, Writer, and SambaNova. These customers leverage Daytona for three primary use cases. These are code execution, general computer use, and reinforcement learning. The platform's adaptability serves varied AI development needs.
Investors recognize the foundational nature of Daytona's work. They see the shift to agent-native infrastructure as inevitable. Making "a computer for every agent" practical is Daytona's breakthrough. Instant startup, persistent state, and integrated tooling are crucial features. These capabilities enable agents to write code, use version control, and execute securely at scale. This forms a vital building block for the burgeoning agentic economy.
The investor roster reflects strategic foresight. FirstMark Capital brings a track record of backing category-defining companies. Strategic investors like Datadog and Figma Ventures provide operational insight. Their involvement validates Daytona's approach to developer infrastructure. Angel investors with founder backgrounds also contribute valuable perspectives. They understand the challenges of building agent-native systems.
Daytona's immediate plans focus on expansion. The company will scale beyond its initial sandbox offering. It aims for a broader suite of agent-native infrastructure. Scaling systems for higher volumes of concurrent agent workloads is a priority. Deepening integrations with developer and agent tooling will enhance functionality. Continuous improvement in reliability, security, and performance is also a key objective.
The team will grow significantly. Daytona currently operates with 20 employees. The new capital will support hiring across various functions. Hardware capacity will increase to meet demand. Expansion into new geographic regions is also planned. Sales and marketing efforts will intensify. The company will focus on meetups, hackathons, and conferences. San Francisco remains a core market for customer engagement.
This investment underscores a profound shift. The computing landscape is evolving. AI agents are becoming primary consumers of compute resources. Daytona positions itself at the forefront of this transformation. It provides the essential infrastructure for a future powered by intelligent agents. Its technology ensures agents have the tools they need to operate effectively and at scale. Daytona prepares the digital world for the next wave of AI innovation.
Daytona, a pivotal infrastructure company, has completed a $24 million Series A funding round. This significant capital injection fuels its mission. The company builds programmatic, composable computers for AI agents. This marks a new era in compute infrastructure.
FirstMark Capital led the investment. Matt Turck, General Partner at FirstMark, joins the Daytona Board of Directors. Pace Capital also participated. Existing investors Upfront Ventures, E2VC, and Darkmode reaffirmed their commitment. Strategic investments came from industry giants Datadog and Figma Ventures. A group of notable angel investors also contributed to the round. These included founders from Fal, T3 Chat, Factory.ai, and Neon. The new funding brings Daytona’s total raised to $31 million. This includes a $5 million seed round from June 2024. Upfront Ventures led that earlier round.
Daytona addresses a critical gap in modern computing. Current cloud infrastructure supports human workflows. It excels at stateless, immutable production tasks. It offers consistent execution. However, AI agents demand different environments. They require flexibility. They need stateful operations. They must experiment. Agents need to install packages. They must fork execution paths. They need to recover from failures efficiently. Traditional cloud systems fall short here.
Daytona provides these specialized environments. It introduces "sandboxes" as a core infrastructure primitive. These are programmatic, composable computing environments. They launch in milliseconds. CPU, memory, storage, GPU, networking, and the operating system provision on demand. These sandboxes offer dynamic control. They can start, pause, fork, snapshot, or terminate at any point. This enables agents to explore alternative execution paths. They can persist state across operations. They can scale to millions of concurrent instances.
The company's technology facilitates advanced AI tasks. Agents use sandboxes to run code. They can explore complex decision trees. They can perform reinforcement learning. Promising branches are snapshotted. Less productive paths are discarded. State persists through failures. Execution paths clone, resume, or merge seamlessly. Workloads run for minutes or for days. This represents a paradigm shift. It moves from human-centric to agent-native cloud primitives.
Daytona was founded in 2023. Ivan Burazin serves as CEO. Vedran Jukić is CTO. Goran Draganić is Chief Architect. The company originated in Croatia. Its rapid growth demonstrates strong market validation. Daytona reached $1 million in forward annual recurring revenue quickly. It doubled that figure in just six weeks. This rapid traction highlights urgent demand.
Its customer base is diverse. Early-stage Y Combinator companies utilize the platform. Fortune 100 enterprises also rely on Daytona. Noteworthy clients include LangChain, Turing, Writer, and SambaNova. These customers leverage Daytona for three primary use cases. These are code execution, general computer use, and reinforcement learning. The platform's adaptability serves varied AI development needs.
Investors recognize the foundational nature of Daytona's work. They see the shift to agent-native infrastructure as inevitable. Making "a computer for every agent" practical is Daytona's breakthrough. Instant startup, persistent state, and integrated tooling are crucial features. These capabilities enable agents to write code, use version control, and execute securely at scale. This forms a vital building block for the burgeoning agentic economy.
The investor roster reflects strategic foresight. FirstMark Capital brings a track record of backing category-defining companies. Strategic investors like Datadog and Figma Ventures provide operational insight. Their involvement validates Daytona's approach to developer infrastructure. Angel investors with founder backgrounds also contribute valuable perspectives. They understand the challenges of building agent-native systems.
Daytona's immediate plans focus on expansion. The company will scale beyond its initial sandbox offering. It aims for a broader suite of agent-native infrastructure. Scaling systems for higher volumes of concurrent agent workloads is a priority. Deepening integrations with developer and agent tooling will enhance functionality. Continuous improvement in reliability, security, and performance is also a key objective.
The team will grow significantly. Daytona currently operates with 20 employees. The new capital will support hiring across various functions. Hardware capacity will increase to meet demand. Expansion into new geographic regions is also planned. Sales and marketing efforts will intensify. The company will focus on meetups, hackathons, and conferences. San Francisco remains a core market for customer engagement.
This investment underscores a profound shift. The computing landscape is evolving. AI agents are becoming primary consumers of compute resources. Daytona positions itself at the forefront of this transformation. It provides the essential infrastructure for a future powered by intelligent agents. Its technology ensures agents have the tools they need to operate effectively and at scale. Daytona prepares the digital world for the next wave of AI innovation.