From sensor to drone to alert — a living digital twin of your industrial operations that monitors continuously, dispatches autonomous inspections, and alerts your team before problems become incidents.
Arrange a consultationWhen a sensor reading spikes at 2am, when equipment degrades slowly over weeks, when a compliance deadline approaches — your team needs to know before it becomes an incident. But the reality for most operators is fragmented SCADA systems, manual inspections, and engineers without the full picture at the moments that matter most.
GuardianVector builds a living knowledge graph of your entire industrial operation — every asset, sensor, and system connected in real time. Intelligence that understands the full context of your operation, proactively detects anomalies, dispatches autonomous inspections, and delivers evidence-backed alerts your team can act on immediately.
Every system your operation relies on — SCADA, IoT sensors, maintenance records, compliance documentation — connected into a single knowledge graph. Every asset becomes a complete, living profile of condition, history, and relationships.
Learn more →Anomaly detection and condition alerts that surface what matters: a temperature pattern preceding failure, a vibration signature indicating wear, a compliance deadline approaching. The right person on your team receives the right signal at the right moment.
Learn more →Drone dispatch, photo capture, computer vision analysis, and evidence-backed alert generation — all orchestrated by the operational digital twin. No human in the loop until the decision point.
Learn more →At 2am, a temperature reading spikes on Digester 3. Before your team wakes up, a drone has already inspected, photographed the issue, and your operations manager has a full briefing in their inbox.
Sensor readings deviate from the learned operating pattern — not a simple threshold breach, but a contextualised anomaly correlated across multiple data points.
The digital twin identifies the asset, its maintenance history, related equipment, and what similar patterns have meant before. The anomaly is classified and prioritised.
An autonomous drone is dispatched to inspect the asset. It knows exactly where to go and what to capture — thermal imagery, visual inspection, surrounding area.
Computer vision analyses the footage. A structured alert arrives: what was detected, photographic evidence, severity assessment, and recommended action. Ready to act on immediately.
That's not a dashboard alert. That's an autonomous intelligence loop — the difference between reacting to incidents and preventing them.
A connected intelligence layer built for operators who demand more from every asset and system.
A connected graph where every asset, sensor, system, maintenance record, and compliance requirement is linked — giving AI the full operational context to reason about your facility intelligently.
Guardian doesn't just alert — it acts. Drone dispatch, photo capture, computer vision analysis, and evidence-backed reporting. Your team focuses on decisions, not data gathering.
The digital twin updates continuously as sensor data flows in from every system. When a reading deviates at 2am, the response begins immediately — not when someone checks a dashboard.
For operations that demand data sovereignty, Guardian deploys on-premises with no cloud dependency. Your operational data never leaves your infrastructure.
We work with a small number of operators at a time. Let's discuss whether GuardianVector is right for yours.
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