Agent code-execution pain: easy, secure sandboxing instead of Firecracker

Enterprises building LLM-driven agents and platform teams that expose tool and code execution to models face a concrete pain: running untrusted code safely at scale is slow, operationally heavy and hard to audit. With an addressable market of roughly 120,000 enterprises and a $6.0B opportunity at an assumed $50K ACV, security, developer platform and compliance teams in finance, healthcare and large SaaS vendors feel this acutely as agentization increases. The product would be a managed, API-first secure sandboxing runtime that trades the complexity of microVMs like Firecracker for lightweight isolation (WASM/WASI and language sandboxes), a policy engine for allow/deny controls, and full auditable traces for every execution. The engineering targets would be explicit — sub-50ms cold starts and order-of-magnitude lower resource overhead than a microVM approach — while offering enterprise features such as RBAC, multi-tenancy and integrations for SIEM and policy as code. This moment is attractive because teams prefer managed, API-first developer tooling and enterprises are allocating meaningful budgets to LLM runtimes and security; the math is simple if you can win even a few hundred logos at ~$50K ACV. The macro trends — agentization of workflows, API-first tooling, and heightened cloud security/compliance focus — increase both demand and willingness to pay, reflected in the market score and revenue potential metrics provided. To stand out, focus relentlessly on developer ergonomics, an auditable policy-driven control plane and a clear compliance pathway (SOC2/FedRAMP roadmaps), while being honest that the biggest challenges are engineering trust (proving isolation comparable to Firecracker) and the sales cycle to convince conservative security teams.