Assess the work
Start with the use case, recommended model, and expected team demand.
Private AI on hardware your organisation owns. CaseDesk turns a Mac, workstation, or server into a governed private AI connection. Keep the hardware and local runtime. Give your people one trusted way to use it.
No public IP, inbound firewall rule, or Kubernetes required.
Your local runtime stays on hardware your organisation controls.
Approved model. Health visibility. Controlled maintenance.
Ollama runs a model. CaseDesk governs the company service around it. Local runtimes are excellent tools for an individual developer; when a team depends on one machine, the operating questions change: which model is approved, who owns maintenance, whether the device is ready, and how internal tools connect without opening the runtime to the internet.
CaseDesk does not take over the hardware. It provides the approval and connection layer that lets the runtime serve a wider team without public exposure.
Start with the use case, recommended model, and expected team demand.
An owner authorises a Device Agent on the host. The first report is read-only.
Review capacity, model identity, runtime changes, and operating limits before anything changes locally.
Keep the runtime private while the connection reports health and maintenance state.
CaseDesk does not buy, operate, or pay for your hardware. It gives the local runtime a governed connection, a visible owner approval path, and a route to repeatable operations as demand grows.
Give internal developer tools an approved connection to a local model without exposing the host.
Use hardware you already own when utilisation, device support, and availability expectations are understood.
Talk through your workload, device ownership, operating boundary, and the path to a governed private AI service.
Talk to the CaseDesk team