Daytona Platforms raises $60 million Series B, hits $1 billion valuation

Daytona Platforms announced on Friday that it closed a $60 million Series B financing that values the company at $1 billion. The round was led by FirstMark Growth, which also led the startup’s $24 million Series A in February. With the new capital, Daytona’s total funding reaches $91 million.

The investor list for the Series B includes a collection of high-profile angels: 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 an OpenAI board member, and Brendan Foody of Mercor. Institutional participants comprise Qualcomm Ventures, Samsung Next and Okta Ventures.

Daytona, founded three years ago and headquartered in New York, is building a cloud platform tailored for long-running agents. According to founder Ivan Burazin, agents differ from traditional long-lived services because they launch thousands of short, stateful jobs that are not scheduled in advance. He described the platform as giving each agent its own computer, offering sandboxed environments that include Linux, Windows, macOS and GPU resources on a single service.

The company argues that existing cloud infrastructure is optimized for persistent services rather than the bursty, compute-intensive workloads typical of modern AI and automation agents. By providing isolated, on-demand environments, Daytona aims to reduce the operational complexity that developers face when orchestrating large numbers of transient jobs across multiple operating systems.

For founders and operators, the funding milestone signals growing confidence in niche cloud solutions that address the specific needs of AI-driven workloads. The involvement of prominent angels from companies that rely heavily on agent-based architectures suggests potential synergies and early customer traction. Investors may view Daytona’s approach as a way to capture value from the expanding market for generative AI, autonomous agents and edge computing, where traditional cloud pricing and provisioning models can become inefficient.

Looking ahead, Daytona plans to use the Series B proceeds to expand its engineering team, broaden the range of supported runtimes and accelerate go-to-market efforts. The company’s next steps will likely involve deepening partnerships with enterprise customers that run large fleets of agents, as well as integrating with developer tools that automate job scheduling. How quickly Daytona can translate its differentiated infrastructure into measurable cost savings for users will determine whether the $1 billion valuation translates into sustained market leadership.