E2B

About E2B

E2B provides a secure cloud-based runtime environment for executing AI-generated code within isolated sandboxes, utilizing Firecracker microVM technology to ensure safe execution of untrusted code. This platform enables developers to run and analyze code snippets or fully autonomous AI agents, addressing the need for a reliable and efficient environment for AI applications.

```xml <problem> AI-powered applications often require executing code generated by large language models (LLMs), which poses significant security risks due to the potential for malicious or erroneous code execution. Developers need a secure and isolated environment to run this untrusted code without compromising the host system or sensitive data. </problem> <solution> E2B provides cloud-based, isolated sandbox environments for securely executing AI-generated code. Leveraging Firecracker microVMs, E2B ensures that untrusted code runs in a controlled environment, preventing it from accessing or harming the host system. The platform supports various programming languages and frameworks, enabling developers to run code snippets or fully autonomous AI agents with confidence. E2B offers features tailored for LLM-powered applications, including quick start times, filesystem I/O, and the ability to install packages and inspect errors. </solution> <features> - Secure sandboxes powered by Firecracker microVMs for isolating code execution - Support for multiple programming languages, including Python, JavaScript, Ruby, and C++ - Fast sandbox startup times (under 200ms) for rapid iteration - Filesystem I/O capabilities for interacting with data and external resources - Ability to install packages and system libraries to customize the environment - Interactive charts and error inspection tools for debugging and analysis - Long-running sessions (up to 24 hours) for complex tasks - Customizable sandbox templates for specific use cases </features> <target_audience> E2B primarily targets AI developers and software engineering teams building LLM-powered applications, AI agents, and other systems that require secure code execution. </target_audience> <revenue_model> E2B offers tiered pricing plans based on usage and features, including options for self-hosting and enterprise solutions with custom pricing. </revenue_model> ```

What does E2B do?

E2B provides a secure cloud-based runtime environment for executing AI-generated code within isolated sandboxes, utilizing Firecracker microVM technology to ensure safe execution of untrusted code. This platform enables developers to run and analyze code snippets or fully autonomous AI agents, addressing the need for a reliable and efficient environment for AI applications.

Where is E2B located?

E2B is based in San Francisco, United States.

When was E2B founded?

E2B was founded in 2023.

How much funding has E2B raised?

E2B has raised 22060000.

Who founded E2B?

E2B was founded by Matěj Turek.

  • Matěj Turek - Founder/Investor
Location
San Francisco, United States
Founded
2023
Funding
22060000
Employees
11 employees
Major Investors
Decibel Partners
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E2B

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

E2B provides a secure cloud-based runtime environment for executing AI-generated code within isolated sandboxes, utilizing Firecracker microVM technology to ensure safe execution of untrusted code. This platform enables developers to run and analyze code snippets or fully autonomous AI agents, addressing the need for a reliable and efficient environment for AI applications.

e2b.dev2K+
cb
Crunchbase
Founded 2023San Francisco, United States

Funding

$

Estimated Funding

$22.1M+

Major Investors

Decibel Partners

Team (10+)

Matěj Turek

Founder/Investor

Company Description

Problem

AI-powered applications often require executing code generated by large language models (LLMs), which poses significant security risks due to the potential for malicious or erroneous code execution. Developers need a secure and isolated environment to run this untrusted code without compromising the host system or sensitive data.

Solution

E2B provides cloud-based, isolated sandbox environments for securely executing AI-generated code. Leveraging Firecracker microVMs, E2B ensures that untrusted code runs in a controlled environment, preventing it from accessing or harming the host system. The platform supports various programming languages and frameworks, enabling developers to run code snippets or fully autonomous AI agents with confidence. E2B offers features tailored for LLM-powered applications, including quick start times, filesystem I/O, and the ability to install packages and inspect errors.

Features

Secure sandboxes powered by Firecracker microVMs for isolating code execution

Support for multiple programming languages, including Python, JavaScript, Ruby, and C++

Fast sandbox startup times (under 200ms) for rapid iteration

Filesystem I/O capabilities for interacting with data and external resources

Ability to install packages and system libraries to customize the environment

Interactive charts and error inspection tools for debugging and analysis

Long-running sessions (up to 24 hours) for complex tasks

Customizable sandbox templates for specific use cases

Target Audience

E2B primarily targets AI developers and software engineering teams building LLM-powered applications, AI agents, and other systems that require secure code execution.

Revenue Model

E2B offers tiered pricing plans based on usage and features, including options for self-hosting and enterprise solutions with custom pricing.

E2B - Funding: $20M+ | StartupSeeker