Daytona reaches $1 billion valuation with $60 million round for AI agent cloud
New York startup Daytona Platforms raised a $60 million Series B led by FirstMark Growth, valuing the company at $1 billion as it builds cloud infrastructure for AI agents.
Daytona Platforms, a New York-based company building cloud infrastructure for AI agents, has raised a $60 million Series B round at a $1 billion valuation, according to TechCrunch. FirstMark Growth led the round, which the company announced on Friday. Daytona says its total funding now stands at $91 million.
Repeat backing and prominent angels
FirstMark is a returning investor, having also led Daytona's $24 million Series A in February. The new round drew a long list of individual backers, according to the company, including technology founders and executives such as 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. Corporate venture arms Qualcomm Ventures, Samsung Next and Okta Ventures also took part.
A cloud designed around agents
The three-year-old startup argues that long-running AI agents place demands on infrastructure that conventional cloud services were not built to meet. Rather than hosting steady, persistent services, agents tend to launch large numbers of short, stateful tasks that cannot be planned ahead of time.
Founder Ivan Burazin made that case in a blog post about the funding, writing that "Agents don't work like the long-lived services today's cloud was designed for." He described Daytona's platform as the equivalent of handing each agent its own computer. Through a single service, agents can reach sandboxed environments running Linux, Windows and macOS, along with GPU access and other tools.
The round places Daytona among a growing set of companies aiming to supply the underlying computing layer for autonomous software, an area that has attracted attention from both investors and established technology leaders.
What it means for readers
For people following computing and internet infrastructure, the deal signals that investors see AI agents as a distinct workload needing purpose-built hosting. Developers and businesses experimenting with agents may increasingly find specialised platforms offering isolated, on-demand environments across several operating systems, alongside the general-purpose cloud services they already use.
Source: TechCrunch
This article was written with the help of AI, based on reporting by TechCrunch.