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.