AI/ML
DevTools/Cloud
Enterprise SaaS

Daytona

AI agent execution infrastructure and secure sandboxes

CORE INFO

$60M
Total Funding
Series B
Round
2023
Founded
~30 employees
Team Size
New York, NY
Headquarters

Daytona sells cloud-based execution environments to AI companies and developer-tool teams. Its platform gives AI agents isolated computers where they can safely run code, use tools, browse the web, access files and Git repositories, and handle longer-running workloads.

  • Series B financing totaled $60 million, led by FirstMark, and valued Daytona at $1 billion when announced on October 20, 2026.fortune.comtech.eu
  • Revenue run-rate grew 25× from January to September 2026, according to CEO Ivan Burazin's comments reported by Fortune.fortune.com
  • Writer provisioned 300,000 sandboxes on Daytona in a single month, while Daytona's customer base includes companies such as Meta, Cohere, Snorkel, Clay and Postman.daytona.io

WHY WE WOULD WORK AT DAYTONA

Build the Agent Cloud

Help create the execution layer AI agents need to run code, use tools, browse the web and interact with real computers. Daytona's mission is to remove the infrastructure barriers between intelligent code and real-world outcomes.

Work on Hard Infrastructure

Build programmable sandboxes with sub-90-millisecond startup, persistent state, snapshots, forking, GPU resources and Linux, Windows and macOS desktops. The platform sits at the intersection of isolation, distributed systems and agent-native computing.

Join Explosive Growth

Daytona has grown from a 2023 startup into a Series B company with $60M in its latest round and $91M in disclosed funding. The company reports 25× revenue growth since January 2026 and approximately 135% average monthly net revenue retention.

Shape a Small Senior Team

Work alongside a compact, experienced group led by the founders of Codeanywhere. Daytona emphasizes speed, proactive problem-solving and finishing the job—giving strong contributors meaningful ownership.

Power Breakthrough Products

Your work can directly support customers such as Meta, Cohere, Writer, Clay, Postman, n8n and Snorkel. Writer has provisioned 300,000 sandboxes in a month, while Snorkel has reportedly run more than one million on the platform.

Backed to Build Big

A $60M Series B led by FirstMark, alongside Qualcomm Ventures, Samsung Next and Okta Ventures, gives Daytona substantial resources for ambitious infrastructure work. The round valued the company at $1B, reflecting strong market confidence in its direction.

MARKET AND TRACTION

GROWTH TACTICS

  • Daytona uses a self-serve, usage-based cloud model with pay-as-you-go CPU and GPU pricing, free compute credits, APIs, SDKs and a CLI.

  • The company has shifted from a self-hosted development-environment manager to infrastructure for AI-agent execution, targeting AI companies, developer tools, enterprise software and reinforcement-learning workloads.
  • NOTABLE CUSTOMERS

    ✦ KEY METRIC
  • Publicly named customers and users include Meta, Cohere, Writer, Snorkel, Handshake, Postman, n8n, Clay, LangChain, SambaNova, Mintlify, AfterQuery and bolt.new.

  • Writer reportedly provisioned 300,000 sandboxes in a single month, while Snorkel reportedly provisioned more than one million sandboxes on Daytona's platform.
  • KEY METRICS

    ✦ KEY METRIC
  • Daytona has raised $91 million in disclosed funding across a $2 million pre-seed, $5 million seed, $24 million Series A and $60 million Series B; the latest round reportedly valued the company at $1 billion.

  • The company reports approximately 25× revenue growth since January 2026, approximately 135% average monthly net revenue retention and sandbox creation in under 90 milliseconds.
  • COMPETITIVE ADVANTAGE

  • Daytona provides secure, isolated and programmable environments where AI agents can execute code, use tools, browse the web, interact with files and Git repositories, and run reinforcement-learning workloads.

  • Its platform combines persistent environments, snapshots, forking, computer-use workflows, GPU resources, and Linux, Windows and macOS desktops through a single infrastructure layer.
  • MARKET POSITION

  • Daytona sits below AI applications and agent frameworks as specialized execution infrastructure, supplying the computers, storage, operating environments, Git access, GPUs and controls agents need to perform work safely.

  • The company serves a broad AI and developer-tool ecosystem, including model builders, AI-training organizations, automation platforms, coding assistants and enterprise software companies.
  • PRODUCT AND TECH

    Agent Cloud

    Daytona's Agent Cloud provides usage-based cloud infrastructure for AI-agent execution, supplying programmable computers, browsers, storage and external-tool access through APIs, SDKs and a CLI.

    Secure Sandboxes

    Isolated, programmable sandboxes safely execute AI-generated or untrusted code while supporting process execution, streamed output, file operations, Git repositories and credential handling.

    Persistent Environments

    Agents can retain state across tasks using persistent environments, snapshots, state restoration and sandbox forking, enabling repeatable workflows and parallel execution.

    Computer-Use Desktops

    Daytona provides computer-use environments with Linux, Windows and macOS desktops, allowing agents to interact with graphical interfaces, files, browsers and applications through APIs.

    GPU Workloads

    GPU-enabled sandboxes support reinforcement-learning and other compute-intensive AI workloads, with configurable CPU and GPU resources billed according to usage.

    COMPANY CULTURE

    Values

  • Accelerate AI innovation through secure, fast infrastructure

  • Build strong developer experiences

  • Engage openly with developers and the open-source community
  • Operating Principles

  • Move with speed and agility

  • Commit to execution and finishing the job

  • Proactively anticipate customer and market needs
  • Work Style

  • Small, senior team with high execution expectations

  • Rapid iteration and quick decision-making

  • Strong focus on solving complex infrastructure problems for AI agents
  • Team Cadence

  • Customer- and developer-driven product development

  • Continuous adaptation as AI-agent workloads evolve

  • Collaboration across engineering, go-to-market and operations