Every company can rent the same frontier models. So the edge is AI trained on your own data. FLock's answer is private AI that runs inside your walls. Before an enterprise trusts AI with sensitive work, it needs 4 checkboxes: 1. Where it runs: On-premises, at the edge, in a private cloud, or fully air-gapped. Your data never leaves your environment. 2. What it learns from: Your own data, through fine-tuning and federated learning. Models train across data silos. The raw data stays where it is. 3. Who sees what: Fine-grained access control. Each user only reaches the data they're cleared for. 4. Whether it's compliant: GDPR, HIPAA and EU AI Act ready by design. We worked with NHS trusts and UCLH to train a glucose monitoring alerts model together. Cross-site predictions improved. Not one patient record moved. And it's not just healthcare. Biotech, pharma, law firms, banking and finance, crypto, defense, public services and other regulated industries need private AI too. Enterprises can keep ownership of the model, the data and the controls. That's how your company should adopt AI too.