AI Agent Sandbox-as-a-Service

A managed platform providing ultra-fast, secure sandboxed environments for running AI agents. Solves the problem of safely executing agent code at scale with sub-millisecond overhead using copy-on-write VM technology.

The explosion of agentic frameworks—LangChain, AutoGen, CrewAI—has created a genuine infrastructure gap: developers building agents need isolated, ephemeral execution environments that don't exist cleanly in current cloud offerings, and the pain is measurable in both security incidents and latency complaints. E2B is the closest named competitor, though it's still early-stage itself, which signals the space is real but not yet locked up. The $10k–50k MRR band is plausible if you land a handful of AI-native startups or teams running agents at volume, since they'll pay meaningfully for reliability and speed that reduces their own infrastructure burden. The biggest risk is that cloud providers—AWS, GCP—absorb this at the platform layer within 18 months, the same way they've commoditized container orchestration, leaving a narrow window to build switching costs before the problem gets "good enough" solved by default.