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VÖRNTEC learns the normal behaviour of every asset on your site from your existing sensors, then surfaces the slow, silent failures that thresholds and per-channel alarms can't see. The shift is from reactive to condition-based maintenance.
Bethnal Green
A live anomaly score for every asset across every site, derived from the full sensor field rather than per-channel thresholds. Operators see degradation building hours, days, or weeks before any single instrument trips.
A multi-layer detection stack ingests data from your existing systems, scores anomalies in real time, flags failures ahead of time, and routes prioritised alerts straight into the tools your operators already use.
A representative sample of our growing fault library. The model surfaces any deviation from learned normal behaviour, and our engineering layer attributes the signature to a known failure mode.
Methane traps 82 times more heat than CO₂ over twenty years, and the energy sector is responsible for over a third of human methane emissions. Equipment that fails unexpectedly tends to vent, flare and release. Catching degradation early keeps assets running and cuts avoidable emissions as a side effect.
Tell us where your operations lose the most time or value. Within two business days we come back with a pilot proposal built around your assets: it runs alongside your existing systems, on data you already hold, against success criteria agreed with you in advance. No new hardware.
Schedule a pilot