Control plane for secure sandboxing of local LLMs in agentic workflows

Control plane for secure sandboxing of local LLMs in agentic workflows targets a $8.0B = 200,000 mid-to-large engineering orgs x $40K ACV. Assumes broad enterprise and mid-market adoption where control planes are purchased by platform or security teams. total addressable market with medium saturation and a year-over-year growth rate of 30-45% annual growth driven by enterprise AI adoption and on-prem model hosting.

Key trends driving demand: Local model cost efficiency -- lower inference costs and data residency drive migration from cloud-hosted APIs to local runtimes.; Agentic automation -- teams are building multi-step agentic flows that require secure tool access and orchestration.; Enterprise security and compliance pressure -- need for auditable policies and RBAC on AI-driven actions is rising..