Every other vendor sits above the platform.
Nebbos is the platform.

OpenAI, Anthropic, Google, Meta — the model providers train the world’s best generalists. They cannot see your workload, your operators, your systems of record. They cannot govern a call because the call never reaches their runtime. They are downstream of the platform.

Every AI-native application vendor sits above the model AND above the platform — they call a frontier API and render the response. Their governance ends at the API boundary. What the call touched, what it consumed, what it committed — opaque to them, opaque to you, only auditable at the model provider they don’t control.

Vertex, SageMaker, Databricks — the MLOps stack governs the model. It does not govern the call. When your compliance officer asks “which decision consumed which tokens under which policy,” MLOps has traces of inference, not traces of governance.

Nebbos is where the AI call lives. Every call carries its own audit, its own metering, its own isolation. Every action passes through the approval graph. Every consumption traces to a business decision. Not a wrapper. Not a dashboard. The substrate.