Co-Founder/CEO
Daytona
Daytona provides secure, elastic infrastructure for running AI-generated code through programmatic sandboxes that launch in under 90 milliseconds. The platform offers stateful, composable computing environments with full isolation, supporting massive parallelization for AI agent workloads across code execution, computer use, and reinforcement learning. Daytona serves AI companies and enterprises including Meta, Cohere, Writer, and SambaNova.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Updated 2 days ago
Funding
Raised to date
$91MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 4 rounds
+23$60M · Series B
Announced Oct 2026
Disclosed cumulative: $91M
4/4
RoundDateAmountValuationInvestors
Founders
Product
Problem
Traditional cloud infrastructure is built for stateless, immutable production workloads and cannot support AI agents that need real computers—environments with state, the ability to install packages, run experiments, make mistakes, and recover. Agents require environments that launch in milliseconds, fork into parallel branches, snapshot mid-execution, and scale to millions of concurrent instances, which current infrastructure cannot provide.
Solution
Daytona provides secure and elastic infrastructure for running AI-generated code through sandboxes—programmatic, composable computers where CPU, memory, storage, GPU, networking, and operating system can be composed on demand. These sandboxes spin up in under 90ms, are built on OCI/Docker compatibility, and support stateful persistence, parallelization at massive scale, and full isolation with dedicated kernel, filesystem, and network stack. Agents can launch a sandbox, work for hours, fork into parallel branches to explore different approaches, snapshot promising branches, and tear down others while state persists across failures. Developers and agents interact with sandboxes programmatically via SDKs (TypeScript, Python, Ruby, Go, Java), API, and CLI, covering lifecycle management, filesystem operations, process and code execution, and runtime configuration.
Target Audience
Daytona serves AI agent developers, AI companies, and enterprises running agent workloads, including code execution, computer use, and reinforcement learning—with customers spanning early-stage YC companies and Fortune 100 enterprises such as LangChain, Turing, Writer, and SambaNova.
Features
- Sandboxes launch in under 90ms from code to execution, built on OCI/Docker compatibility with full isolation including dedicated kernel, filesystem, and network stack
- Supports stateful persistence with unlimited persistence options, snapshots, warm pools, and volumes for long-running agent workloads
- Multi-language SDKs (TypeScript, Python, Ruby, Go, Java) plus REST API and CLI for programmatic sandbox lifecycle management, process execution, and filesystem operations
- Agent-specific tooling including language server protocol, pseudo-terminal (PTY), log streaming, MCP server, computer use, and agent skills
- GPU support across Nvidia B300, B200, H200, H100, RTX 5090, and RTX 4090 instances with per-second billing
- Bring Your Own Compute deployment option alongside managed infrastructure, with Windows, macOS, and Linux sandbox support