AI Infrastructure

E2B

E2B provides secure, isolated cloud sandboxes for executing AI-generated code at scale.

Founded
2023
Enterprise Adoption
88% of Fortune 100 companies
Flagship Product
AI Agent Cloud
Key Customers
Hugging Face, Manus, Groq, Lindy
Deployment Options
BYOC, on-premise, US & EU regions

About

E2B is an open-source infrastructure platform that offers secure, isolated cloud sandboxes designed specifically for running AI-generated code. Built upon Firecracker microVMs, each sandbox operates as a lightweight virtual machine with its own dedicated kernel, ensuring robust isolation and security. This architecture allows AI agents to execute code in various programming languages, including Python, JavaScript, Ruby, and C++, within a controlled environment. The platform is LLM-agnostic, compatible with models such as OpenAI's GPT, Llama, Anthropic, Mistral, or custom models, providing flexibility for diverse AI applications.

Founded in 2023 by Vasek Mlejnsky and Tomas Valenta, E2B emerged to address the challenges associated with safely executing code generated by AI agents. The company has achieved significant milestones, including adoption by 88% of Fortune 100 companies, indicating strong market acceptance. E2B's enterprise offerings include features like Bring Your Own Cloud (BYOC), on-premise deployment, role-based access control, and support for both US and EU regions, catering to organizations with stringent security and compliance requirements.

E2B's flagship product, the AI Agent Cloud, enables rapid deployment of sandboxes with startup times under 200 milliseconds, effectively eliminating cold starts. Each sandbox provides internet access, a POSIX-like terminal, and the ability to install packages, facilitating a wide range of AI agent workflows. The platform's scalability supports thousands of concurrent sessions, making it suitable for training, evaluation, and production workloads. Notable customers include Hugging Face, Manus, Groq, and Lindy, who utilize E2B for tasks such as code testing, virtual computing, and agentic workflows.

In the competitive landscape, E2B distinguishes itself by offering an open-source, LLM-agnostic platform with rapid startup times and robust security features. Its ability to integrate seamlessly with various AI models and deployment environments positions it as a versatile solution for organizations seeking to enhance their AI agent capabilities. The company's focus on security and scalability addresses critical concerns in the AI infrastructure domain, setting it apart from competitors that may lack similar features or flexibility.

Why it matters

E2B's open-source platform provides secure, isolated environments for executing AI-generated code, addressing critical challenges in AI agent deployment. By leveraging Firecracker microVMs, it ensures robust isolation and security, enabling AI agents to run code in multiple programming languages within a controlled setting. Its LLM-agnostic design allows compatibility with various models, offering flexibility for diverse AI applications. The platform's rapid startup times and scalability support thousands of concurrent sessions, making it suitable for training, evaluation, and production workloads. E2B's enterprise offerings, including BYOC and on-premise deployment, cater to organizations with stringent security and compliance requirements, positioning it as a versatile solution in the AI infrastructure sector.

Notable for

E2B is notable for providing secure, isolated cloud sandboxes for executing AI-generated code at scale.

Flagship products

Agent sandboxes

Tags

ai-infrastructurecloud-computingai-agents