AI

Daytona raises $60M Series B at $1B valuation to build cloud infrastructure for AI agents

Daytona is building cloud infrastructure for long-running AI agents, offering each a sandboxed environment with Linux, Windows, macOS and GPU support. The startup has now raised $91 million, including a $60 million Series B led by FirstMark Growth at a $1 billion valuation.

TechCrunch

Daytona Platforms announced on Friday, October 23, 2026, that it had raised a $60 million Series B round at a $1 billion valuation, led by FirstMark Growth. The New York-based startup has now raised a total of $91 million.

The round drew a notable group of angel investors, including Stripe’s Patrick Collison, Shopify’s Tobi Lütke, Perplexity’s Aravind Srinivas, Zoom’s Eric Yuan, Datadog’s Olivier Pomel, Quora’s Adam D’Angelo — who also serves on OpenAI’s board — and Mercor’s Brendan Foody. Qualcomm Ventures, Samsung Next, and Okta Ventures also participated. FirstMark previously led Daytona’s $24 million Series A in February 2026.

Founded three years ago, Daytona is building a cloud platform designed specifically for long-running AI agents. Founder Ivan Burazin argues that existing cloud infrastructure was not built for how agents actually operate. “Agents don’t work like the long-lived services today’s cloud was designed for. They spin up thousands of short, stateful jobs nobody planned in advance, and they need a cloud built for that,” Burazin wrote in a blog post announcing the round.

The platform gives each agent access to its own sandboxed environment, with support for Linux, Windows, macOS, and GPUs, all within a single platform. Burazin described the approach as giving every agent its own computer.

The breadth of the investor list — spanning founders and executives from payments, e-commerce, AI, and enterprise software — suggests the agent infrastructure space is attracting broad attention from across the technology industry. For developers and companies building AI agents, Daytona’s platform may offer a purpose-built alternative to adapting general-purpose cloud services to agent workloads.