Offline AI Workbench
Plug-and-play local AI workspace for air-gapped networks with model import and queueing
- Problem
- Developers in secure or isolated intranets cannot use cloud AI, and setting up Ollama with a frontend is painful. Multi-user concurrency also lacks simple queue management.
- Solution
- A deployable offline AI workspace bundling chat, image understanding, embedding, and image generation, with one-click model import and a built-in request queue (e.g., 2 running + 3 queued) for small teams.
- Users
- Developers and small teams in government, defense, finance, and other air-gapped environments.
- MVP
- Windows/Ubuntu installer; integrated Ollama and local image generation; manual model file import; Web UI with concurrency queue.
- Revenue
- One-time license ($99/seat) or annual subscription ($199/yr), with enterprise customization.
- Why now
- LLM capabilities are commoditizing but intranet deployment remains complex, and compliance pressures are rising.