Daytona has raised $60 million in Series B funding at a $1 billion valuation to expand what it calls the Agent Cloud, an infrastructure platform designed specifically for running AI agents at scale. The round was led by FirstMark Growth and brings Daytona’s total funding to $91 million. Investors in the financing include Patrick Collison of Stripe, Tobi Lütke of Shopify, Aravind Srinivas of Perplexity, Eric Yuan of Zoom, Olivier Pomel of Datadog, Adam D’Angelo of Quora, and Brendan Foody of Mercor.
Strategic investors Qualcomm Ventures, Samsung Next, and Okta Ventures also joined the round, alongside new and existing institutional backers.
Daytona is building infrastructure around the idea that AI agents need dedicated computing environments rather than conventional cloud infrastructure designed for long-running human-operated workloads. The company’s platform provides agents with computers, browsers, storage, and other resources required to execute work.
Unlike conventional cloud instances, Daytona’s agent environments are designed to start in milliseconds, retain state when paused, fork into parallel copies, and disappear when a task is completed.
The platform supports Linux, Windows, macOS, and GPU-based sandboxes within a single environment. This enables agents to perform workflows ranging from optimizing CUDA kernels and testing native Mac applications to operating Windows desktops and interacting with 3D CAD software.
Daytona said demand for its platform has accelerated sharply as long-running AI agents move into production. Since January, company revenue has grown approximately 25-fold, while average month-over-month net revenue retention has been approximately 135%.
The company’s customers span multiple layers of the AI ecosystem. Model developers using Daytona include Meta and Cohere, while companies working on data and training environments include Handshake, Snorkel, Surge AI, Turing, AfterQuery, and Trajectory.
Other customers deploying agents within products include Writer, Clay, n8n, Postman, Mintlify, and bolt.new.
Several customers previously attempted to build their own agent infrastructure. Writer, for example, operated an internal sandbox platform until usage surpassed 20,000 sandboxes per day. After moving workloads to Daytona, Writer provisioned 300,000 sandboxes in a single month.
AfterQuery replaced an internally operated Google Kubernetes Engine cluster with Daytona within a day, according to the company.
Daytona said its long-term objective is to provide an execution layer built specifically for autonomous software. As agent workloads increase, the company expects requirements such as rapid cloning, state persistence, rewinding, and large-scale parallel execution to become increasingly important.
The new capital will support continued development of Daytona’s Agent Cloud infrastructure as well as hiring across engineering, go-to-market, and operations. The company is hiring primarily for on-site roles in San Francisco.
KEY QUOTES:
“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.”
Matt Turck, Partner At FirstMark
“AI agents need secure environments to run code, call tools, browse the web and learn through reinforcement learning. We believe Daytona’s platform gives each agent its own environment to do all of it at scale. What started as an agent sandbox is now a full platform for running agents in production. We’re glad to invest in Daytona as they build critical infrastructure for the agentic era.”
Quinn Li, Senior Vice President At Qualcomm Technologies And Global Head Of Qualcomm Ventures
“As a frontier applied AI research lab, the infrastructure we need often does not exist. Daytona broke that trend.”
Sam Jung, Head Of Research Operations At AfterQuery
