Developing product

C12 Controlled AI Runtime

A local-first control and evidence layer being built to supervise model and agent execution rather than treating model output as automatic authority.

Current engineering direction

Contain execution. Preserve evidence. Keep authority explicit.

StatusActive development

The public site describes the direction and validated foundations. It is not a public hosted AI service or a finished enterprise product.

Direct local runtime supervision

Start, observe, probe, stop, and recover local model processes inside a defined runtime boundary.

Multi-model control

Separate model identity, contract, session, prompt, output, and runtime state rather than merging everything into one chat surface.

Policy before action

Prompts, tools, outputs, and execution requests can be allowed, denied, redirected, throttled, or escalated through explicit policy.

Receipts and telemetry

Important lifecycle and interaction events are captured for review, diagnosis, export, and recovery.

Human and software authority

A model can propose. A defined control surface decides whether anything executes, changes state, or leaves the system.

Local-first deployment

The architecture is aimed at organizations that need clearer ownership of models, data paths, runtime behavior, and evidence.

Claim boundary

C12 is not currently presented as an independently validated compliance platform, a fully autonomous system, or a secure document-processing center. Those capabilities require separate engineering, validation, and deployment controls.