About
E2B builds open-source cloud infrastructure that gives AI agents secure, isolated sandboxes for running generated code, processing data, and using real-world tools. It sells to developers, AI companies, foundation-model providers, and enterprises, differentiating through fast-starting Linux microVMs, strong isolation, and support for scalable agent workloads.
Market
E2B competes in the AI-agent infrastructure and secure cloud code-execution market, positioning itself as an open-source standard for isolated sandboxes that let agents execute code, process data, and use tools safely. It differentiates through an open-source runtime, developer-focused SDKs, broad language/framework support, and enterprise-scale deployment for high-concurrency workloads. Its closest alternatives include general-purpose AI sandbox and cloud execution platforms such as Modal, Daytona, Vercel Sandbox, Cloudflare Sandboxes, and CodeSandbox.
E2B targets AI research labs, high-security enterprise teams, Fortune 100 companies, and hypergrowth AI startups building AI agents or applications that require secure, scalable code execution. Its practical buyers are engineering and platform teams that integrate agent runtimes through SDKs.
At a Glance
Problem
AI agents can generate code, analyze data, browse the internet, and operate software, but they need a safe, reliable computer environment in which to execute those actions. Running untrusted, model-generated code directly inside an application creates security and isolation risks, while building the required infrastructure in-house is time-consuming: one customer says E2B replaced work that would have taken weeks and multiple engineers. The main use cases are AI code interpreters, data-analysis assistants, browser agents, coding copilots, and autonomous agents that need a virtual computer rather than a text-only interface.
The economic pain becomes more acute at production scale, where customers may need thousands of short-lived, isolated environments with fast startup and predictable execution. E2B’s customers use sandboxes to run code safely, automatically test or repair outputs, process sensitive data, and give agents access to multiple real-world tools without exposing the host application or other tenants.
Product / Service
E2B provides an open-source, cloud-delivered sandbox platform for AI agents. Its SDKs let developers start and manage isolated environments, execute code, process data, and run tools; the sandboxes are powered by Firecracker microVMs designed to run untrusted workflows. Developers can use E2B with any major or custom LLM, connect their own application logic, and create customized environments for use cases such as code execution, data analysis, and internet browsing.
The benefit is an agent-ready computer layer that is faster to integrate and safer to operate than building execution infrastructure from scratch. E2B separates the sandbox from the model, giving developers granular control over files, packages, processes, and execution while supporting high concurrency. This makes it suitable both for individual agent features and for enterprise workloads that need secure, scalable code execution.
Market
E2B competes in AI infrastructure, specifically the market for secure code-execution sandboxes and cloud computers for AI agents. Its positioning combines an open-source developer platform with managed enterprise infrastructure. The competitive set includes Modal Sandboxes, Daytona, Vercel Sandbox, and Cloudflare Sandboxes, alongside other VM- or container-based runtimes such as CodeSandbox SDK, Beam Cloud, and Blaxel.
E2B is not pre-revenue based on the available evidence. In July 2025 it announced a $21 million Series A led by Insight Partners, reported use by 88% of Fortune 100 companies, and said it had supported hundreds of millions of sandbox sessions since the preceding October. Named customers and use cases include Hugging Face, LMArena, Groq, Genspark, Lindy, Perplexity, and Manus; VentureBeat also reported seven figures of new business in a single month. The company therefore had substantial enterprise traction, although the available sources do not provide a current 2026 revenue figure.
Founders & Leadership
Funding History
Insight Partners
Recent News
Docker announced a new partnership with E2B, which provides secure cloud sandboxes for AI agents. The partnership is positioned around making AI development safer and more scalable.
E2B sandboxes became available through Stripe Projects, enabling agents and developers to provision an E2B account and sandbox more easily. The integration removes the manual signup step that would otherwise interrupt the workflow.
ComputeSDK published a tutorial covering how to create an E2B sandbox, run a basic Vite application inside it, and access it securely through a browser.
E2B released Build System 2.0, simplifying the creation of custom sandboxes by removing the need for Dockerfiles, extra configuration files, and manual CLI build commands.
Active Roles
10Business Model
E2B uses a hybrid subscription and usage-based model: its Hobby tier is free, Pro costs $150 per month, and customers pay separately for compute based on the number of seconds a sandbox runs. Enterprise customers receive custom pricing and plans.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Insight Partners, Decibel, KAYA, Cortical Ventures, Deep Acre