Keep AI copilots local by registering local/company resources for private tasking

Keep AI copilots local by registering local/company resources for private tasking targets a $9.0B = 3M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY (market for enterprise AI tooling and hybrid AI deployments — Gartner, 2024).

Key trends driving demand: Hybrid AI adoption — enterprises are adopting hybrid cloud patterns that mix cloud and on-prem inference, creating demand for orchestration tools that route workloads appropriately.; Privacy and compliance pressure — regulatory scrutiny and internal privacy programs push companies to keep certain data and inference local, increasing demand for private copilots.; Edge and efficient models — model optimizations and smaller LLMs make on-prem inference feasible for many tasks that previously required large cloud models.; Rising cloud inference costs — as usage grows, companies are motivated to offload some inference to cheaper local resources to control costs..