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On-prem and air-gapped. Host models inside the perimeter. Fine-tune on classified or operational data that never leaves.

• On-prem model hosting

  Serve models on hardware in facilities you already operate.

• Air-gapped fine-tuning

  Adapt weights inside the perimeter. Training data does not leave.

• No third-party cloud

  Inference, hosting, and fine-tunes run without an external model API.

• Custom weights stay in-house

  Bring approved GGUF models. They remain on premises you control.

• Audit-friendly

  Know which model ran, where, and on whose device.

• Sensitive workloads

  Built for environments where citizen and operational data cannot leave.

Public-sector Local Intelligence on premises you operate. Adheres to data-protection rules.