tech://neural_fabricExplainable, anomaly-aware systems

A 3D view into the intelligence layer.

Norfolk Royal Inc runs a dual control stack: one side keeps CPI stable with fraud defense, the other side coordinates footwear-apparel sourcing, fulfillment, and distribution for operational stability.

loop_time
24ms
Decision loop latency under normal load.
drift_guard
0.7%
Attribution drift detected before it spreads.
events
9.8M/day
Event throughput for learning + anomaly tracing.
coverage
120+ nets
Unified orchestration layer across networks.
principles

Why the system behaves predictably

Performance marketing is a noisy control problem. The stack is built to reduce noise, preserve explainability, and move spend without breaking your attribution truth.

Control loops, not dashboards

You don't win by watching charts. You win by turning signals into safe, repeatable actions.

capability
Pacing feedback
capability
Guardrail policies
capability
Saturation detection
Anomaly-first data model

Every spike has a signature. We store the signature and the evidence trail, not just aggregates.

capability
Cohort fingerprints
capability
Event integrity checks
capability
Traceable decisions
Network fabric orchestration

Treat networks as interchangeable execution engines. Control stays constant, routing adapts.

capability
Unified controls
capability
Rule-based routing
capability
Safe reallocation
next

Want to see your signals mapped in this fabric?

We’ll take a small sample of your channel data and build a drift + anomaly trace. You’ll get a clear list of control levers — and what each lever is expected to change.