We envision a future where AI agents operate seamlessly on a secure, scalable cloud infrastructure, enabling unprecedented levels of automation and intelligence in software ecosystems. Our mission is to build the foundational cloud platform that empowers millions of AI agents to perform complex, multi-step workflows with safety and precision.
By creating an open-source, isolated sandbox environment tailored specifically for AI code execution, we provide developers and enterprises the tools to innovate with confidence and scale their AI initiatives effortlessly. We are dedicated to advancing the future of AI through secure, interoperable, and accessible infrastructure that transforms how intelligent applications are built and deployed.
Our commitment extends beyond technology to fostering a vibrant ecosystem that includes startups, researchers, and large organizations, all driving the next generation of AI-powered software forward on our platform. Together, we are shaping the future of intelligent computing with robust, versatile, and scalable cloud environments designed for the age of AI agents.
Our Review
We've been tracking E2B since they emerged in 2023, and honestly, we're impressed by how quickly they've carved out a crucial niche in the AI infrastructure space. What started as an open-source project by founders Vasek Mlejnsky and Tomas has evolved into something that 88% of Fortune 100 companies now rely on — that's not a typo.
The Sandbox That Actually Makes Sense
Here's what caught our attention: E2B isn't trying to be another AI model or flashy chatbot. Instead, they're solving the unglamorous but critical problem of where AI agents actually run their code safely.
Think of it this way — when an AI agent needs to execute Python scripts, analyze data, or run complex workflows, it needs a secure playground. E2B provides exactly that: isolated cloud environments where AI-generated code can run without breaking anything important or exposing sensitive data.
Why Enterprise Teams Are All Over This
The 200,000+ AI agents running on their platform tell a story. Companies like Hugging Face, Perplexity, and Groq aren't just experimenting — they're building production systems on E2B's infrastructure.
What we find compelling is the multi-agent workflow support. Modern AI applications aren't just single chatbots anymore; they're complex systems where multiple agents collaborate. E2B seems to have anticipated this shift early.
The Funding Says It All
That $32 million in total funding, including a recent $21 million Series A led by Insight Partners, isn't just impressive — it's validation. When Docker's former CEO Scott Johnston becomes an angel investor, you know the infrastructure story resonates with people who've built foundational dev tools before.
We're particularly intrigued by their open-source approach. In a space where everyone's building proprietary moats, E2B is betting that transparency and community adoption will win long-term. Given their enterprise traction, that bet seems to be paying off.
Feature
Open-source code interpretation and cloud infrastructure layer for AI agents
Secure, isolated sandboxed cloud environments
Support for multi-agent workflows and complex multi-step tasks
Integration with any large language model (LLM) or AI framework
APIs and SDKs (JavaScript and Python) for sandbox control
Support for running code, accessing I/O, terminals, filesystems, and long-running sessions
Jobs
FAQs
