# E2b

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/e2b
- **Dataset:** https://optimly.ai/brand/e2b.json
- **Markdown:** https://optimly.ai/brand/e2b/llms.txt
- **Official website:** https://e2b.dev
- **Slug:** e2b
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** Open-source, secure, isolated, real-world virtualized environments (sandboxes/virtual computers) with support for concurrent execution for AI agents, LLMs, and diverse coding needs, emphasizing security and scalability for enterprise applications.
Source: Brand's website (https://e2b.dev) · 2026-10-04

- **Description:** E2B provides open-source, secure AI sandboxes with real-world tools for building and deploying enterprise-grade AI agents, LLM training, and multi-component pipelines (MCPs). It offers virtualized environments for deep research, data analysis, code execution, reinforcement learning, and computer use for LLMs.
Source: Brand's website (https://e2b.dev) · 2026-10-04

## Offerings

- **Core capabilities:**
  - AI Sandboxes for enterprise-grade agents
  - Deep Research Agents
  - AI Data Analysis & Visualization
  - Coding Agents
  - Vibe Coding Runtimes
  - Reinforcement Learning environments
  - Desktop Sandboxes for Computer Use.
Source: Brand's website (https://e2b.dev) · 2026-10-04

- **Pricing:** Freemium
Source: Brand's website (https://e2b.dev) · 2026-10-04

## Audience

- **Target industry:** AI developers, enterprises building AI-powered applications, companies leveraging LLMs, researchers, and developers integrating AI with frameworks like OpenAI, Anthropic, LangChain, LlamaIndex.
Source: Brand's website (https://e2b.dev) · 2026-10-04

Page last updated 2026-10-17.