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Cloud Platform Startup Daytona Reaches Unicorn Status with New Funding

Reported by Varun Krishnan (Senior Writer) · TechCrunch ·

Unconfirmed — Reported by one source so far

Reported by one source so far

Worth knowing
TechnologyCloud Platform Startup Daytona Reaches Unicorn Status with New Funding
Representative image · Pexels

Daytona Platforms raised a sixty million dollar Series B round on Friday, reaching a one billion dollar valuation. FirstMark Growth led this latest funding round for the New York-based startup. The company states that its total funds raised have now reached ninety-one million dollars. FirstMark previously led a twenty-four million dollar Series A round for Daytona in February.

Investors

A large group of well-known tech founders and venture firms joined the new round. The angel investors include Patrick Collison of Stripe, Tobi Lütke of Shopify, and Aravind Srinivas of Perplexity. Other participating angels are Eric Yuan of Zoom, Olivier Pomel of Datadog, Adam D'Angelo of Quora and OpenAI, and Brendan Foody of Mercor. Corporate venture funds like Qualcomm Ventures, Samsung Next, and Okta Ventures also took part in the financing.

Technology

Founded three years ago, Daytona builds cloud infrastructure specifically designed for long-running agents. Founder Ivan Burazin explained in a blog post that current cloud services do not fit how agents operate. Agents run thousands of short, unpredictable tasks that require a different type of system support. Daytona provides a platform that functions like giving every single agent its own dedicated computer. These agents get access to sandboxed operating systems like Linux, Windows, and macOS, alongside graphics processing units.

Context

Cloud computing platforms traditionally focus on hosting websites and apps that stay online continuously for human users. As artificial intelligence agents start performing complex automated tasks independently, they create sudden and heavy demands on backend servers. Startups are now building specialized infrastructure to handle these unique workloads efficiently.

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