Daytona raises $60M at $1B to run AI agents' code
Daytona raised a $60 million Series B at a $1 billion valuation, led by FirstMark. Its AI agent sandboxes grew revenue 25-fold from January to September.
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By the numbers
- Series B, led by FirstMark
- $60M
- valuation after the round
- $1B
- revenue run-rate growth, January to September
- 25x
- to set up a new sandbox, Daytona says
- 60 ms
Daytona, a San Francisco startup that rents computers to AI agents, raised a $60 million Series B at a $1 billion valuation on October 20, 2026. FirstMark led the round. The deal shows how fast spending is moving to the place where AI agents actually run code, not just the models that write it.
What Daytona sells
Daytona sells sandboxes. A sandbox is an isolated virtual machine, a computer simulated in software, where an AI agent can write code, browse the web and run programs. Because each one is walled off, a misbehaving agent cannot reach the rest of a company's systems. Fortune says this limits the risk of agents taking actions nobody authorized.
Speed is the pitch. Daytona says it sets up a new sandbox in 60 milliseconds, by loading ready-made snapshots onto server drives in advance. Fortune says the big cloud providers take 30 seconds to many minutes to start a machine. Daytona's own homepage advertises "sub 90ms" sandbox creation, measured from code to execution.
"The inference clouds is where the agent thinks, and our cloud is where the agent works," chief executive Ivan Burazin told Fortune.
The round and the growth
The numbers below come from Fortune and Dealroom.
| Item | Detail |
|---|---|
| Round | $60 million Series B, about $50 million from existing investors |
| Valuation | $1 billion |
| Lead | FirstMark |
| Total raised | About $91 million |
| Earlier round | $24 million Series A in February, also led by FirstMark (Dealroom) |
| Revenue run rate | Up 25-fold between January and September |
| Customers named | Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta, Cohere |
Burazin says growth averaged 50.9% a month. One customer, Snorkel, has created more than one million sandboxes. Dealroom says the valuation ranks in the top 8% of US enterprise-software Series B rounds.
The round also drew founders of other tech companies. They include Patrick Collison of Stripe, Tobi Lütke of Shopify, Aravind Srinivas of Perplexity, Adam D'Angelo of Quora and Eric Yuan of Zoom. Qualcomm Ventures, Samsung Next and Okta Ventures also joined.
Burazin, Goran Draganić and Vedran Jukić founded Daytona in 2023. It first automated software development environments for large companies, Fortune reports. Most of the new money will pay for sales staff, plus some engineers.
A crowded market for agent computers
Investors kept asking why the market needed Daytona when Amazon Web Services could do the same job, Burazin says, according to Dealroom. His answer is a bet on demand. "I strongly believe that there will be a CPU crunch," he told Fortune.
Rivals are raising too. Dealroom notes that Modal raised $355 million at a $4.65 billion valuation in May, and Sail Research raised $80 million in June. Modal has since raised $750 million at a $15.75 billion valuation. Free options exist as well: Perplexity recently open-sourced its SPACE sandbox for AI agents.
"We believe the next infrastructure shift is from human-centric cloud primitives to agent-native ones," said Matt Turck, a partner at FirstMark.
What this means for developers
If you are building an agent that runs code, the sandbox is now a product category you buy, not a side project.
- Compare startup time and price together. Daytona lists usage-based rates on its site: $0.0504 per vCPU-hour and $0.0162 per GiB of memory per hour. New accounts get $200 in free compute.
- Check the language support. Daytona's site shows software development kits for Python, TypeScript, Ruby, Go and Java.
- Plan for lock-in. Each provider has its own API for creating, running and deleting sandboxes. Wrap those calls in your own thin layer so you can switch.
- Test isolation yourself. The point of a sandbox is containment. Before trusting any provider, try what an agent can reach from inside one, such as the network and stored secrets.
Sources
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