E2B

E2B develops an open-source runtime for executing AI-generated code in secure sandboxes, designed for agentic AI and artificial intelligence use cases. The runtime allows users to securely run code snippets and autonomous agents, supporting various programming languages and frameworks with capabilities for code execution, input/output operations, and internet access within isolated environments. Founded in 2023 and headquartered in San Francisco, E2B has raised $35M in Series A funding from investors including Insight Partners, Decibel, and KAYA. The company addresses the critical security and reliability challenge of executing LLM-generated code by providing isolated sandbox environments where AI agents can run code safely without risking host systems. E2B's infrastructure enables developers to build AI applications that require code execution capabilities, such as data analysis tools, coding assistants, and autonomous agents.

AI Infrastructure > Enabling Technologies > Software > Testing & Optimization > Generative AI