<div id="readability-page-1" class="page"><div>Today, we’re excited to announce that E2B has raised a $21M Series A funding round led by global software investor Insight Partners, with participation from Decibel, Sunflower Capital, and Kaya, along with prominent angels such as Docker's former CEO Scott Johnston. This investment comes as 88% of the Fortune 100 are already signed up on our platform, validating our vision of giving every enterprise AI agent its own cloud computer to work with. We’ve grown from a handful of early adopters to hundreds of millions of cloud sandboxes initiated at more than half of Fortune 500. Agents are already dramatically boosting human productivity, with compelling stats:
<ul>
<li>Code copilots generate at least a <a href="https://archive.is/X43PU" target="_blank" rel="noopener noreferrer" data-external="true">quarter of the world’s code</a>.</li>
<li><a href="https://medium.com/@arahmedraza/how-jpmorgan-uses-ai-to-save-360-000-legal-hours-a-year-6e94d58a557b" target="_blank" rel="noopener noreferrer" data-external="true">JPMC saved 360,000 hours</a> of manual work per year with document processing agents.</li>
</ul>
Yet, despite these gains, agent productivity remains capped due to inadequate infrastructure and tooling. Today's agents lack secure, scalable environments necessary to fully unleash their capabilities. And while enterprises are expecting to automate away between <a href="https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work" target="_blank" rel="noopener noreferrer" data-external="true">15% to 50% of manual tasks with agents</a>, we simply are not giving the agents the right tools and compute infrastructure to complete them. E2B solves this. And we’ve raised our $21M Series A to deliver a secure, scalable suite of infrastructure tools needed to deliver production-grade agentic workflows in enterprise.
We do this by giving AI agents instant-on, secure cloud machines equipped with the specialized tools they need to perform complex, multi-step tasks seamlessly and safely.
<h2 id="our-enterprise-traction-and-customer-success-to-date">Our Enterprise Traction and Customer Success to Date</h2>
It’s not often a young company can say its product is used by the vast majority of Fortune 100 firms. We’re excited that enterprises across industries have embraced E2B as the backbone for their AI initiatives. From AI research labs to high-security enterprise environments, E2B’s sandboxed cloud runtime is becoming the de facto, open-source standard for safe, scalable code execution by AI - from research labs to high-security enterprise environments:
<ul>
<li>Hugging Face and LMArena use E2B to <a href="/customers/how-hugging-face-is-using-e2b-to-replicate-deepseek-r1">securely scale AI research</a> with tens of thousands of concurrent machines with almost zero setup time.</li>
<li>Perplexity and Lindy <a href="/customers">integrate and scale agentic features</a> in days instead of weeks.</li>
<li>Groq relies on E2B for <a href="/customers/groqs-compound-ai-models-are-powered-by-e2b">high‑speed, secure code execution</a>.</li>
<li>Manus runs <a href="/customers/how-manus-uses-e2b-to-provide-agents-with-virtual-computers">fully functional virtual computers</a> to power autonomous multi‑agent systems.</li>
</ul>
We’re proud to be supporting dozens of use cases we never imagined when we started, and learning from each of them to further improve our product.
<h2 id="from-llms-to-autonomous-agents-why-production-grade-agentic-workflows-need-better-infrastructure">From LLMs to Autonomous Agents: Why Production-Grade Agentic Workflows Need Better Infrastructure</h2>
E2B is becoming the open-source standard for sandboxes for agentic workflows. In the near future, this will extend into a standardized interface allowing AI agents to seamlessly control and interact with diverse sandbox environments—from Linux interpreters and Windows VMs to Chrome browsers and operate on your infrastructure of choice - be it Kubernetes, Google Cloud, Azure, AWS, Cloudflare, or your in-house VPC. This approach transforms how agents execute complex tasks, ensuring they can securely chain operations, maintain state, and interact with external systems without ad-hoc infrastructure. By providing a shared, modular architecture, E2B encourages community-driven extensibility and innovation, aiming to establish a universal standard similar to web protocols.
Expanding the open-source standard, E2B will provide pluggable modules such as Secrets Vault for secure credential management, Sandbox Observability for real-time monitoring and compliance, and Shared Context for persistent, collaborative state management. These add-ons will enable enterprises to tailor their agent environments precisely to security and operational requirements. Ultimately, E2B's vision is a robust, open ecosystem where autonomous agents run safely, transparently, and flexibly—accelerating adoption from pilots to full-scale deployment.
Scaling the Future: Enterprise-Ready Infrastructure for AI Agents
It’s obvious that AI agents are here to stay. We've built the infrastructure to make it happen.
At the same time, we remain focused on practical needs—delivering a platform that's robust, reliable, and scalable enough for today's most demanding users. Our technology is already proving its worth at Fortune 100 scale.
Since October last year, we've supported hundreds of millions of sandbox sessions, with customers like Perplexity successfully testing our platform at high scale from the start. Now, with our latest funding, we'll expand our engineering, product, and go-to-market teams in San Francisco, accelerate development of our sandbox platform, and meet growing demand worldwide.
To our customers, thank you for trusting us with such critical parts of your stack – your stories of E2B in action inspire us daily. To the Fortune 100 companies on board, thank you for pushing us to meet the highest bars for security, compliance, and reliability. And to the AI builders and dreamers: we see you, and we share your excitement for what’s possible. Agents that debug software, agents that analyze and chart data, generating expert reports, agents that help train new models with reinforcement learning – all of these are being built on E2B right now, and many more are yet to come.
In 10 years, we see AI agents becoming as commonplace as apps on your iPhone, seamlessly integrated into daily tasks. Just as an iPhone app needs iOS, every agent will rely on its own secure and dedicated computing environment. With E2B, we are laying the groundwork for that future now, one sandbox at a time. We’re grateful to have incredible investors like Insight Partners on this journey with us, and we’re more motivated than ever to deliver on our promise: giving AI agents the cloud machines they need to think and to act.
Thank you for being part of our story. Here’s to the next chapter of E2B – <a href="https://e2b.dev/careers" target="_blank" rel="noopener noreferrer" data-external="true">come build with us</a>!
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<figure><figcaption>Tomas (CTO)&nbsp;and Vasek (CEO)</figcaption></figure></div></div>

E2B Blog & Customer Stories

Vaclav Mlejnsky

This Brings Our Total Funding to $32M to Build the Enterprise AI Agent Cloud, Close the 88% of F100 Using Us, and Hire Cracked Engineers

We Raised $21M to Give Fortune 100 Cloud for AI Agents

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