PrioriAnalytica uses Machine Learning (ML) algorithms and eXplainable Artifficial Intelligence (XAI) to build advanced “Operational Analytics” solutions for the Defence, Resources, Energy and Logistics sectors.
Our solutions can predict failures up to six weeks in advance, allowing maintenance and remedial action before the faults occur, ensuring asset uptime.
Our clients can better manage maintenance cycles by predicting failures and hence enabling spare parts holdings to be optimised as well as realising efficiencies in workforce tasking.
CorroVision provides quantified probabilistic predictions of maintenance requirements informed by operational conditions and requirements
Using AI/ML, CorroVision models ‘corrosion severity’ at the Component, Aircraft and Fleet level in response to previous deployments, environmental conditions, maintenance performed, and condition data
Vibraite monitors mechanical plant: engines, motors, pumps, bearings, shafts etc., providing instantaneous identification of fault onset, classification and progression tracked. Forecast progression and timeframe enable mitigating actions prior to failure.
Sonar & Signals providing automated undersea acoustic signal solutions for the Processing, Exploitation and Dissemination (PED) of acoustic data via Dynamic ML
Signal-Background Separation and Generative ML to:
Headquartered in Australia, with offices in the USA (PrioriAnalytica Inc.) and represented in the UK and Japan.