About e2a

What is e2a?

e2a stands for Environment to Agent. It is an infrastructure platform for secure, isolated cloud runtimes. Teams use e2a when AI agents and automation services need a real compute surface with predictable startup, scoped secrets, browser access, and desktop workflows.

The Problem

Modern AI systems increasingly need to run tools, inspect browser state, and coordinate long-running work. Putting those workloads directly on shared application infrastructure creates security, cost, and operations risk. Traditional VMs can be slow and expensive, while lightweight containers do not always provide the isolation boundary production teams expect.

Our Approach

e2a gives each runtime its own microVM boundary, filesystem, and network policy. The platform is built around lifecycle control, resource metering, realtime output, and tenant-scoped credential handling so teams can operate AI workloads like infrastructure.

How It Works

1. Define a runtime profile with CPU, memory, storage, network, and surface requirements.
2. Route work into isolated capacity and stream logs, lifecycle events, and resource usage back to your service.
3. Tear down or persist workspace state depending on your retention and compliance requirements.

Provider Key Control

e2a is model-provider agnostic. Bring your own OpenAI, Anthropic, Google, or other provider credentials and inject them only into the runtime that needs them. We do not put those secrets in shared application logs.

Built For

• AI agent frameworks that need isolated compute capacity
• Developers building tool-using AI systems
• Companies isolating user-driven automation workloads
• Research teams testing model capabilities in controlled environments