PrioriAnalytica uses Machine Learning (ML) algorithms and eXplainable Artificial 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
The system provides quantified predictions assessing future operational conditions and requirements along with the corresponding impact on maintenance, delivering:
Transition from Reactive to Proactive Maintenance via Predictive Corrosion Management
Forecast and, therefore, optimized scheduled, and reduced unscheduled corrosion-related maintenance
Optimised spending on available assets, infrastructure, resources, personnel
Utilises existing platform maintenance and condition data to optimise availability
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.
Significantly reduce the reliance on manual inspection
Provide increasingly accurate advance warning of potential failure so that components can be ordered and replaced ahead of failure or degraded performance
Enhance proactive planned maintenance activities and reduce reactive maintenance leading to increased platform operational availability
Improved operational flexibility to simultaneously manage the repair of an item of plant and remain on deployment
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:
Improve situational awareness
Improve accelerated decision-making
Enable the deployment of advanced capabilities
Our solutions were developed primarily in the Oil & Gas and Energy sectors with new solutions adapted or developed specifically for application in the Defence Sector
PrioriAnalytica has proven success in Applied Operational Analytics to generate “Knowledge of the Reasoned Facts” across multiple industries and sectors
Pre-built Software Modules and Algorithms facilitate rapid configuration and deployment
XAI - eXplainable Artificial Intelligence
Auditable ‘white-box’ systems to allow interrogation against standards resulting in ‘Creditable Data’
Closed loop solutions – limited human interface
Platform Agnostic, Independent
Headquartered in Australia, with offices in the United States (PrioriAnalytica Inc.) and represented in the United Kingdom and Japan.
Australian Commonwealth
Royal Australian Navy
Ascent
L3Harris
Anglo American
Apex Energy Australia
Repsol
StepChange Global
Dedicated Systems Australia Pty Ltd
Applied Measurements Australia
Resonate Systems
The University of Adelaide
Flinders University (Australia)
NDET
University of South Australia
Australian Joint Acoustic Analysis Centre
Axant Advisory
Defence Teaming Centre (Australia)
Public Sector Advisory Board
Capital Park Partners
Corrovision: Winner of United States Navy ‘Sea, Air, Space’ 2023 Office of Small Business Programs Showcase
Defence Industry Security Program (DISP) (Australia)
ISO 9001 Quality Management Systems
Oracle Global Innovation Award
AIIA Awards Analytics in Industrial and Primary Industries (Australia)