Startup profile · funding coverage
Daytona funding, valuation and investors
Secure, elastic compute infrastructure for AI agents
Keep track of Daytona
Save this profile to your VCT watchlist for a quick return.
Funding, valuation & investors
Answer-first snapshotLatest funding
Series B
$60M · October 20, 2026
Latest known valuation
$1B
Series B · October 20, 2026
Total disclosed equity funding
$91M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series b · San Francisco, California
Investors in latest funding
Lead: FirstMark Capital
Other: Qualcomm Ventures , Samsung NEXT , Okta Ventures , Pace Capital , Upfront Ventures , E2VC , Alumni Ventures , Torch Capital , Evergreen Fund
Overview
Daytona provides isolated, programmable sandboxes where AI agents can execute code, use tools and operate software. The company raised a $60M Series B led by FirstMark in October 2026 at a reported $1B valuation.
Why Daytona is interesting
Daytona is building an execution layer for AI agents rather than an inference model or orchestration dashboard. Its investment case turns on whether fast, stateful, multi-operating-system sandboxes can become durable infrastructure with attractive utilization, margins and retention.
Product & use cases
The platform provisions isolated Linux, Windows, macOS and GPU environments for agent training, evaluation and production workloads. Daytona describes persistent state, rapid startup, parallel forks, browser and storage access, and programmatic control through SDKs, APIs and a CLI.
- Isolated code execution for AI agents
- Reinforcement-learning and evaluation environments
- Browser, desktop and tool-use automation
- GPU and multi-operating-system agent workloads
Key facts
- Raised a $60M Series B at a reported $1B valuation in October 2026.
- Reported total funding reached $91M after the Series B.
- Company-reported revenue increased approximately 25× from January to September 2026.
Funding history (newest first)
Series B
2026-10-20 $60M Valuation: $1B- FirstMark Capital (lead)
- Qualcomm Ventures (participant)
- Samsung NEXT (participant)
- Okta Ventures (participant)
- Pace Capital (participant)
- Upfront Ventures (participant)
- E2VC (participant)
- Alumni Ventures (participant)
- Torch Capital (participant)
- Evergreen Fund (participant)
Source: https://www.daytona.io/dotfiles/daytona-raises-60m-series-b-to-build-the-agent-cloud
Series A
2026-02-05 $24M- FirstMark Capital (lead)
- Pace Capital (participant)
- Upfront Ventures (participant)
- E2VC (participant)
- Darkmode (participant)
- Datadog Ventures (participant)
- Figma Ventures (participant)
Source: https://www.daytona.io/dotfiles/daytona-raises-24m-series-a-to-give-every-agent-a-computer
Seed
2024-06-25 $5M- Upfront Ventures (lead)
- 500 Global (participant)
Source: https://www.daytona.io/dotfiles/daytona-secures-5m-to-simplify-development-environments
Pre-Seed
2023-11-06 $2M- 500 Emerging Europe (participant)
- Tiny.vc (participant)
- Silicon Gardens (participant)
- Firestreak Ventures (participant)
Source: https://www.daytona.io/dotfiles/daytona-raises-2m-in-pre-seed
Investors in our directory
Funds linked from Daytona's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Agent-specific execution environments with rapid startup, persistent state, parallel forking, isolation and broad Linux, Windows, macOS and GPU support.
Daytona competes with cloud virtual-machine and container services as well as specialist sandbox providers. Its claimed differentiation is agent-specific lifecycle management: rapid startup, persistence, forking, isolation and support for multiple operating systems and accelerators. The defensibility test is whether those capabilities produce lower total cost, better reliability and easier integration than incumbent clouds and internal platforms.
-
Amazon Web Services incumbent
General-purpose cloud compute and container infrastructure can support agent workloads but is not designed solely around agent sandbox lifecycles.
-
Microsoft Azure incumbent
General-purpose cloud and AI infrastructure competes for the same enterprise execution workloads.
-
Google Cloud incumbent
General-purpose cloud infrastructure and managed AI services are an alternative to a specialist agent execution layer.
Notable stories
- Daytona repositioned from cloud development environments toward a dedicated execution cloud for AI agents.
Industries
Market / IPO context
Editorial / static context — not a live quote.
Related funding articles
Venture Capital Tracker pieces that cover Daytona's financing or category context.
FAQs about Daytona
Practical answers founders, operators, and investors typically search for.
Last updated:
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.