Every event. Every sensor. One bus.
The Signal Bus ingests 2,800+ events per minute from barcode scanners, IoT door contacts, RFID readers, GPS trackers, reefer temperature probes, and scale systems. Each event is classified, routed to the correct engine, correlated with active contexts, and archived for learning replay. Safety-critical signals jump the queue. No event is ever dropped.
Self-healing. Self-explaining.
When Guardian detects a failure — crashed engine, stalled pipeline, connectivity drop — it restarts, reroutes, and narrates what happened in plain English. No pager duty. No 3 AM calls. The system explains itself and logs recovery patterns to prevent recurrence.
Cortex
Learning replay buffer. Every signal event archived and replayed to improve predictions. 52 files, always learning.
Predictor
Anomaly forecasting, throughput modeling, carrier ETA prediction, dwell estimation. Feeds Guardian before problems happen.
Memory Engine
Persistent context across shifts, days, and weeks. Remembers carrier patterns, seasonal trends, crew performance curves.
Circuit Breakers
Automatic load shedding when engines spike. Prevents cascade failures. Guardian monitors breaker state and auto-resets.
6 Vertical Plugins
Warehouse, fleet, ecommerce, manufacturing, ports, energy. Each plugin adds domain-specific prediction models and signal handlers.
Learning Loop
Every prediction is scored against reality. Accuracy drifts trigger automatic recalibration. ONE gets smarter every shift.
This isn’t a rules engine.
| Capability | ONE | Custom ML Pipeline | Rules Engine | No AI |
|---|---|---|---|---|
| Self-healing (auto-recovery) | ✓ Guardian | Manual | — | — |
| Anomaly narration (plain English) | ✓ | — | — | — |
| Signal bus (2,800+ events/min) | ✓ | Custom | — | — |
| Learning loop (auto-recalibrate) | ✓ | Manual retrain | — | — |
| Circuit breakers | ✓ | Manual | — | — |
| Vertical plugins (6 industries) | ✓ | Custom | Custom | — |
| Detention prediction | ✓ 30min early | Possible | If/then | — |
| WMS + twin + voice integration | Native | API | API | — |
| Setup time | 15 min | Months | Weeks | N/A |
How ONE Changes Warehouse Operations
Most warehouse AI is either a rules engine with "if dwell > 90 min, send alert" logic, or a custom ML pipeline that costs six figures and takes months to deploy. ONE is neither. It’s a 34-module neural engine that processes 2,800+ signal bus events per minute, predicts anomalies before they happen, narrates root causes in plain English, and self-heals crashed subsystems in under 2 seconds.
The learning loop is what makes ONE fundamentally different. Every prediction is scored against reality. When ONE predicts a trailer will hit detention at 90 minutes and it actually hits at 87, that 3-minute delta feeds back into the model. When a carrier consistently arrives 15 minutes late, ONE automatically adjusts buffer calculations for that carrier. The system gets more accurate with every shift.
Guardian eliminates the concept of downtime for AI systems. When an engine crashes — memory spike, database timeout, network partition — Guardian detects it within heartbeat interval, restarts the engine, replays missed events from the signal bus buffer, and narrates the entire incident in the activity log. No pager duty, no 3 AM calls, no manual intervention.
Six vertical plugins extend ONE beyond warehouse operations: fleet management, ecommerce fulfillment, manufacturing, port operations, and energy. Each plugin adds domain-specific signal handlers, prediction models, and scoring functions. The warehouse plugin handles dock assignment scoring, detention prediction, and crew optimization. The fleet plugin handles route efficiency, fuel tracking, and ELD compliance. All share the same signal bus and Guardian infrastructure.
Ready to see ONE Neural Engine in action?
Book a live demo and see every feature running on real warehouse data.