E2B
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
HQUS
Team Size22
Open Jobs1
Total Funding-
Latest FundraiseUnknown
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
Product: Open-source secure sandbox runtime for executing AI-generated code and agent workflows
Use cases: Research agents, coding agents, AI data analysis/visualization, reinforcement learning, long-running sandboxes
Founders: Tomas Valenta and Vasek Mlejnsky
Employees: 22
Latest round (reported): Series A led by Insight Partners ($21M)
Secure execution environment and infrastructure for AI agents and AI-generated code.
AI infrastructure / Cloud runtime
$21M
Series A reported as $21M led by Insight Partners; round participants included Decibel, Sunflower Capital, KAYA, and angel investors
“Series A led by Insight Partners with participation from Decibel, Sunflower Capital, KAYA, and angels (reported $21M)”
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