On-Demand VM Agent Executor

AI developers struggle to give agents access to real VMs with proper filesystem, bash, and Docker without managing infrastructure. This tool spins up and tears down VMs on-demand, letting non-infra teams automate agent tasks that need real compute. Target: AI/ML engineers and startups building AI agents.

Demand for sandboxed compute that agents can actually run code in is surging as teams ship LLM-powered workflows that go beyond text generation — coding agents, CI bots, and autonomous pipelines all need real shell access, and cloud providers don't offer a clean abstraction for ephemeral, agent-controlled VMs. E2B is the closest incumbent, and it's already gaining traction, which validates the category but also means differentiation on pricing, latency, or Docker-in-VM support will be the deciding factor. The $2k–10k/mo band is plausible if customers are billed per execution-minute rather than seats, since heavy agent users can rack up real compute costs quickly, but the ceiling stays low unless the product moves upmarket toward teams running thousands of parallel agent runs. The biggest risk is getting squeezed from both sides — AWS and Modal keep adding primitives that close the gap, and E2B can outspend on integrations, leaving a narrow window before this becomes a configuration layer rather than a product.