Stop juggling AI providers — CLI routes queries to the best model automatically

Developers and AI teams are increasingly forced to juggle multiple LLM providers and local/edge models, causing ad-hoc integrations, unpredictable costs, inconsistent latency, and fragmented governance for roughly 2M teams. That operational complexity wastes engineering time and creates compliance and cost-control risks for companies adopting LLMs. Build a developer-first CLI router that automatically selects the best model per query using policy, latency, and cost signals, and can transparently route to cloud APIs or local runtimes with built-in auditing and cost accounting. It would expose simple rules, provider plugins, CI/CD hooks, and observability so teams can standardize access without rewriting applications. The market is timely and sizable — a $4.0B addressable market (2M teams × $2K ACV), with a market score of 88/100 and revenue potential 82/100, driven by model proliferation and rising enterprise governance needs. It can differentiate by being CLI-centric for developer ergonomics, offering hybrid local/cloud routing and strong policy-driven controls and cost optimization that platform or single-provider solutions lack. The main challenges are integration complexity, staying current with rapidly changing model capabilities and APIs, and convincing conservative enterprise buyers of clear ROI.