E2B

Founder backgrounds

• E2B Sandboxes

  E2B Sandboxes are isolated cloud Linux microVMs that boot in under 200 milliseconds and give AI agents a full filesystem, shell, network, and the ability to install arbitrary packages. Built on Firecracker, each sandbox is single-tenant and disposable, so LLM-generated code can be executed without risk to the host or other tenants. Developers spin up sandboxes through Python or TypeScript SDKs in a single line, stream output back to their agent, and tear down when done — billed by the second.

• Code Interpreter SDK

  The Code Interpreter SDK is E2B's higher-level abstraction that mirrors ChatGPT's Code Interpreter / Advanced Data Analysis: a managed Jupyter-like Python kernel inside an E2B sandbox, with stateful execution, file uploads, chart capture, and streaming results. It is the canonical way to add 'agent runs Python' capability to any LLM application, and is used by AI products at Hugging Face, Perplexity, and many AI-native startups to power data analysis, chart generation, and tool use without each team building their own sandbox stack.

• Enterprise AI Agent Cloud

  E2B's Enterprise AI Agent Cloud is the productized offering for Fortune 500 customers who need on-prem, VPC, or sovereign-region deployments of the sandbox runtime. It bundles SOC 2 compliance, fine-grained tenancy controls, observability and audit logging, custom base images, and capacity guarantees for high-throughput agent workloads. The platform underpins internal coding agents, data analysis agents, and customer-facing AI products at large enterprises that cannot send code execution to a multi-tenant cloud.