Appreciate that — and totally agree. The “who cares / who pays” question is exactly why this hasn’t scaled before.
Our bet is that the timing’s finally right: local inference, smaller and more powerful open models (Qwen, Granite, Deepseek), and enterprise appetite for control have all converged. We’re working with large enterprises (especially in regulated industries) where innovation teams need to build and run AI systems internally, across mixed or disconnected environments.
That’s the wedge — not another SaaS, but a reproducible, ownable AI layer that can actually move between cloud, edge, and air-gapped. Just reach out, no intro needed - robert @ llamafarm.dev
Our bet is that the timing’s finally right: local inference, smaller and more powerful open models (Qwen, Granite, Deepseek), and enterprise appetite for control have all converged. We’re working with large enterprises (especially in regulated industries) where innovation teams need to build and run AI systems internally, across mixed or disconnected environments.
That’s the wedge — not another SaaS, but a reproducible, ownable AI layer that can actually move between cloud, edge, and air-gapped. Just reach out, no intro needed - robert @ llamafarm.dev