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Company profile

Daytona

Secure, scalable infrastructure for executing AI-generated code and agent workflows.

daytona.io ↗Profile compiled July 20267 source pages read
Category
AI infrastructure
Headquarters
New York, New York
Sells to
Developers
Business model
Freemium, Usage-based API
Deployment
Cloud / SaaS, API
Pricing
Pay-as-You-Go with usage-based pricing, including free compute credits and volume discounts. Startup program offers up to $50k in credits. · free tier
Builds own models
No — builds on existing models
Modalities
Code

What Daytona does

Daytona provides a secure, scalable infrastructure for executing AI-generated code. Its platform offers instant environment creation, complete isolation, and enterprise-grade security for AI workflows. With comprehensive APIs and native Git/LSP support, Daytona enables developers to safely run AI-generated code while maintaining full programmatic control. The company's mission is to accelerate AI innovation by providing a secure, lightning-fast runtime that eliminates execution barriers and empowers both developers and AI systems to focus on transforming intelligent code into real-world solutions. Daytona evolved from deep experience with developer workflows and infrastructure challenges, building on the legacy of Codeanywhere.

Products

  • Daytona PlatformA secure and elastic infrastructure for running AI-generated code, providing full composable computers (sandboxes) for AI agents with complete isolation, dedicated kernel, filesystem, network stack, and allocated vCPU, RAM, and disk. Sandboxes spin up in under 90ms and support Python, TypeScript, and JavaScript. It's built on OCI/Docker compatibility, massive parallelization, and unlimited persistence.
  • Computer UseEnables programmatic control of desktop environments within sandboxes, providing mouse, keyboard, screenshot, screen recording, and display operations for automating GUI interactions and testing desktop applications. It works with VNC for both manual and automated desktop interactions and is available for Linux, with macOS support in private alpha.
  • Daytona SDKsSoftware Development Kits for interacting with Daytona sandboxes programmatically. Available for Python, TypeScript, Ruby, Go, and Java.
  • Daytona APIsIncludes Platform API, Toolbox API, and Analytics API for programmatic interaction with the Daytona platform.
  • Daytona CLICommand Line Interface for Mac, Linux, and Windows to manage Daytona sandboxes and operations.

Key capabilities

  • Secure and Elastic Infrastructure
  • Sub 90ms sandbox creation
  • Separated & Isolated Runtime Protection
  • Massive Parallelization for Concurrent AI Workflows
  • Programmatic Control (File, Git, LSP, Execute API)
  • Process Execution with real-time output streaming
  • File System Operations (CRUD, granular permissions)
  • Git Integration with secure credential handling
  • Builtin LSP Support (multi-language completion, real-time analysis)
  • AI-First Infrastructure optimized for LLMs, Agents, and Evals
  • Environment Snapshots (Save, Restore, Resume Agent Workflow)
  • Low-Latency Sandboxes Deployed in Your Region (India Asia-South, EU Central (Frankfurt), EU West (London), US West (Oregon))
  • Stateful by Design (Sandboxes run indefinitely)
  • Volumes for shared data access across sandboxes
  • Computer Use Sandbox (Secure virtual desktops: Linux, Windows, macOS)
  • Human in the Loop (SSH Access, VS Code Browser, Web Terminal)
  • Open-Source Transparency
  • Customer-Managed Compute
  • Enterprise Compliance (HIPAA, SOC 2, GDPR Standards)
  • Pay-as-You-Go pricing
  • Usage-based pricing
  • Volume discounts
  • Free compute credits for startups

Use cases

  • Running AI-generated code
  • Executing AI agents' code
  • AI Evaluations across parallel environments
  • Code Interpreter for untrusted code
  • Coding Agents with RESTful API and state persistence
  • Data Analysis on clusters with optimized data locality
  • Data Visualization for AI agents to render charts and plots
  • Reinforcement Learning for Agents (training, long-horizon planning)
  • GUI application testing
  • Visual testing & screenshots
  • Desktop automation
  • Mobile app automation and development (macOS desktops)
  • Windows-specific automation, testing, and development workflows
  • Agentic Benchmarking

AI approach

Daytona provides secure, scalable infrastructure for executing AI-generated code, specifically optimized for LLMs, AI Agents, and Evals. It offers isolated sandboxes for running untrusted code, managing agent workflows, and facilitating AI evaluations. The platform supports programmatic control of desktop environments for AI agents, enabling GUI automation and testing.

Tech named: LLMs, AI Agents, Evals, OCI/Docker compatibility, VNC, Xvfb, xfce4, x11vnc, novnc, AT-SPI

What it says sets it apart

  • Secure, scalable infrastructure for executing AI-generated code
  • Instant environment creation (sub 90ms sandbox creation)
  • Complete isolation and enterprise-grade security for AI workflows
  • Comprehensive APIs and native Git/LSP support
  • Optimized for LLMs, Agents, and Evals
  • Stateful sandboxes designed for long-running tasks and persistent agents
  • Programmatic control of desktop environments (Computer Use)
  • Open-source codebase for transparency
  • Customer-managed compute for enhanced security and control
  • Compliance with HIPAA, SOC 2, and GDPR standards out of the box
  • Pay-as-you-go and usage-based pricing with volume discounts
  • Strong focus on developer productivity and AI innovation

This profile was compiled from Daytona's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.