July 28, 2025
5 min read
@SiliconANGLE
E2B secures 1M to develop open-source sandboxed cloud infrastructure enabling secure, scalable AI agent deployment for enterprises.
E2B shares its vision of sandboxed, cloud environments for every AI agent after raising $21M in funding
Agentic cloud infrastructure startup E2B announced it has raised $21 million in early-stage funding to develop a new open-source infrastructure for securely running artificial intelligence agents in the cloud. The Series A round was led by Insight Partners, with participation from Decibel, Sunflower Capital, Kaya, and notable angel investors including former Docker Inc. CEO Scott Johnston. E2B, officially FoundryLabs Inc., aims to provide businesses with a dedicated, open-source cloud infrastructure stack for AI agents. The company believes AI agents are best hosted in secure, sandboxed cloud environments that offer safe computing and browser capabilities to automate complex business tasks. Co-founder and CEO Vasek Mlejnsky explained that the idea for a sandboxed cloud environment came from his experience building an agentic system. He realized existing cloud infrastructure is designed for humans, not AI agents, limiting their efficiency.“How can we expect AI agents to do the same work as humans if we can’t give them the same environment to use the tools we use?”Mlejnsky emphasized that enterprises have high expectations for AI agents, but scaling them on legacy infrastructure is challenging. E2B addresses this by equipping AI agents with safe, scalable, and high-performance cloud infrastructure, along with tools to help agents scale in production. With E2B’s sandboxed environments, AI agents gain access to computational resources similar to human workers, including a personal computer, browser, file system for data storage, and compute platforms to execute AI-generated code. Companies can rapidly spin up and shut down these sandboxed environments, scaling to millions of virtual personal computers. This enables enterprises to deploy large numbers of agents that can operate more efficiently than humans. The infrastructure supports secure, simple runtimes that facilitate reinforcement learning loops and rapid agentic workflows.
“All of the main use cases we see for AI agents need not only high scale but also extremely high speed,” Mlejnsky said. “Agents building a full website and making research reports need to give you an answer in a lower seconds. There’s no other way to do this today, especially securely and no open-source alternative than us that customers can deploy inside their clouds.”Holger Mueller, analyst at Constellation Research Inc., noted that E2B makes a compelling case architecturally and usability-wise for specialized infrastructure for agentic AI systems.
“The key will be how well E2B is able to use the funding to materialize this new architecture it’s promising,” Mueller said. “Enterprises will be watching, because we are moving toward an agentic future that’s likely to come much sooner than later.”E2B’s vision has been embraced by dozens of Fortune 500 companies and AI leaders such as Hugging Face Inc., Perplexity AI Inc., and Manus. The company plans to use the new funding to establish its open-source sandbox protocol as the universal standard for AI agents and add features like secrets vaults and orchestration tools for managing fleets of agents from a single console. Praveen Akkiraju of Insight Partners called E2B a pioneer of "essential infrastructure" for AI agents and predicted its sandboxed cloud environments will become widely adopted.
“We believe that E2B’s open-source sandbox standard will become a cornerstone of secure and scalable AI adoption across the Fortune 100 and beyond.”Source: SiliconANGLE - Published July 28, 2025