E2B

# E2B: Enterprise AI Agent Cloud Infrastructure

High-Level Overview

E2B is a cloud infrastructure platform that provides AI agents with secure, isolated computing environments to execute code and interact with real-world tools.[4] Founded in 2023, E2B operates on an open-source core + cloud service upsell model, where developers can access the open-source technology for free while paying for hosted sandbox cloud services through a SaaS subscription with usage-based billing.[3] The company serves AI Agent startups, B2B SaaS companies, professional services firms, and enterprise teams building agentic workflows—with adoption spanning 88% of Fortune 100 companies and over 1,000 total customers including Perplexity, Vercel, and Commure.[3][4]

The core problem E2B solves is fundamental to modern AI development: AI agents need safe, sandboxed environments to execute code and access external tools without compromising security or stability. Rather than forcing developers to build these capabilities in-house (which would take weeks and multiple engineers), E2B provides a ready-made infrastructure layer that enables agents to run complex, multi-tool workflows reliably at enterprise scale.[4]

Origin Story

E2B was founded in 2023 by Václav Mlejnský and Tomáš Valenta, two close friends who graduated from the Czech Academy of Mathematics and Physics and had previously collaborated on computer vision projects.[3] Their inspiration came directly from GPT-3.5's emergence—they recognized that as large language models became more capable, there would be an urgent need for infrastructure to safely execute the code and workflows these models generate. This insight led them to build E2B as an open-source cloud platform for AI Agent runtime, giving each agent its own isolated cloud "mini computer."[3]

The timing proved prescient. As AI agents evolved from experimental projects to production systems handling real business workflows, E2B's solution became essential infrastructure. The company achieved rapid adoption, reaching over 1,000 customers within roughly two years and securing enterprise-grade customers including Perplexity (which uses E2B for deep research agents) and major Fortune 100 firms.[3][4]

Core Differentiators

• Secure Sandboxing: E2B provides isolated, containerized environments where AI agents can execute arbitrary code without risk to host systems or other agents.[4]

• Real-World Tool Integration: Unlike basic code execution environments, E2B agents can access and integrate with external APIs, databases, and services—enabling complex multi-step workflows.[4]

• Developer-First Accessibility: The open-source core removes barriers to entry; developers can experiment for free before committing to paid cloud services.[3]

• Enterprise Trust & Performance: E2B's infrastructure is battle-tested across Fortune 100 companies, with customers reporting that issues are resolved in minutes and performance is "excellent."[4] This reliability is critical for enterprises deploying agents in production.

• Flexible Pricing Model: The "Hobby" plan offers $100 in free compute credits with no credit card required, while the "Pro" plan ($150/month) serves higher-concurrency needs, making it accessible to both startups and enterprises.[3]

• Proven Customer Success: Testimonials from CTOs and founders highlight that E2B "unlocked rich answers and interactive charts" (Perplexity), enabled agents to use 27 different tools simultaneously (Manus), and made LLM-generated API integrations reliable at scale (Gumloop).[4]

Role in the Broader Tech Landscape

E2B sits at the intersection of two major tech trends: the rise of agentic AI and the infrastructure gap it creates. As models like GPT-4 and newer frontier models become capable of reasoning, planning, and tool use, enterprises are moving beyond simple chatbots to deploy autonomous agents that can perform complex business tasks—research, data analysis, customer service, automation. However, this shift requires robust infrastructure that most organizations lack internally.

E2B's timing is critical because the agentic AI market is transitioning from hype to production deployment. Companies are no longer asking "Can we build AI agents?" but "How do we deploy them safely and reliably?" E2B answers that question, reducing time-to-market and lowering the technical barrier for enterprises to adopt agentic workflows. By 2026, as agentic systems become standard business infrastructure, E2B's role as a foundational layer—similar to how AWS became foundational for cloud computing—positions it as a critical piece of the AI stack.

The company also influences the broader ecosystem by democratizing agent infrastructure through open-source. This approach mirrors successful infrastructure plays (Docker, Kubernetes) where open-source adoption drives cloud service adoption. E2B's open-source core ensures developers across organizations experiment with and adopt the platform, creating network effects and lock-in.

Quick Take & Future Outlook

E2B is well-positioned to become the de facto infrastructure layer for enterprise AI agents, much as Stripe became for payments or Twilio for communications. The company's early adoption by 88% of Fortune 100 companies suggests strong enterprise demand and validates the core value proposition.

Looking ahead, E2B's growth will likely be shaped by:

• Expansion of agent capabilities: As agents become more sophisticated (handling longer workflows, more tools, more complex reasoning), E2B's infrastructure will need to scale accordingly.

• Vertical-specific solutions: While currently horizontal, E2B may develop industry-specific agent templates or integrations (healthcare, finance, legal) to accelerate adoption in regulated sectors.

• Competitive consolidation: As the agentic AI market matures, larger cloud providers (AWS, Azure, Google Cloud) may build competing offerings, making E2B a potential acquisition target or forcing deeper differentiation.

• Open-source ecosystem growth: E2B's open-source community could become a moat—similar to how Hugging Face built value through community-driven model development.

The fundamental insight remains: AI agents are becoming critical business infrastructure, and E2B owns a critical piece of that stack. For enterprises deploying frontier agentic workflows, E2B is no longer optional—it's essential.