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Use case

PromptConnext for enterprises needing local models

Keep code and inference on-premises with bring-your-own-model and a local-first privacy posture.

Regulated and security-conscious enterprises often cannot send code or prompts to third-party clouds. PromptConnext supports fully local models and keeps code and keys on the machine, so AI-assisted development stays inside your boundary.

Local-first by design

Connect local models via Ollama or vLLM. Your source code and credentials never leave the device, and only the shared task graph syncs when you choose to collaborate — never your code.

Enterprise controls

For teams, shared workspaces add SSO, role-based access, and two-way Jira/ClickUp status sync, while the AI-native graph stays authoritative for traceability. Talk to sales to enable these.

FAQ

Can we run entirely offline?
The desktop app and local models work offline. Collaboration sync is optional and only moves the task graph, not your code.

Start building with the AI you already have

Download PromptConnext, connect a model in minutes — including a zero-cost local option — and take your first project from scope to running code.