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E2B, a startup providing cloud infrastructure specifically designed for artificial intelligence agents, has closed a $21 million Series A funding round led by Insight Partners, capitalizing on surging enterprise demand for AI automation tools.
The funding comes as an remarkable 88% of Fortune 100 companies have already signed up to use E2B’s platform, according to the company, highlighting the rapid enterprise adoption of AI agent technology. The round included participation from existing investors Decibel, Sunflower Capital, and Kaya, along with notable angels including Scott Johnston, former CEO of Docker.
E2B’s technology addresses a critical infrastructure gap as companies increasingly deploy AI agents — autonomous software programs that can execute complex, multi-step tasks including code generation, data analysis, and web browsing. Unlike traditional cloud computing designed for human users, E2B provides secure, isolated computing environments where AI agents can safely run potentially dangerous code without compromising enterprise systems.
“Enterprises have enormous expectations for AI agents. However, we’re asking them to scale and perform on legacy infrastructure that wasn’t designed for autonomous agents,” said Vasek Mlejnsky, co-founder and CEO of E2B, in an exclusive interview with VentureBeat. “E2B solves this by equipping AI agents with safe, scalable, high-performance cloud infrastructure designed specifically for production-scale agent deployments.”
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Seven-figure monthly revenue spike shows enterprises betting big on AI automation
The funding reflects explosive revenue growth, with E2B adding “seven figures” in new business just in the past month, according to Mlejnsky. The company has processed hundreds of millions of sandbox sessions since October, demonstrating the scale at which enterprises are deploying AI agents.
E2B’s customer roster reads like a who’s who of AI innovation: search engine Perplexity uses E2B to power advanced data analysis features for Pro users, implementing the capability in just one week. AI chip company Groq relies on E2B for secure code execution in its Compound AI systems. Workflow automation platform Lindy integrated E2B to enable custom Python and JavaScript execution within user workflows.
The startup’s technology has also become critical infrastructure for AI research. Hugging Face, the leading AI model repository, uses E2B to safely execute code during reinforcement learning experiments for replicating advanced models like DeepSeek-R1. Meanwhile, UC Berkeley’s LMArena platform has launched over 230,000 E2B sandboxes to evaluate large language models’ web development capabilities.
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