PHM Technology (PHMT) delivers Digital Risk Twin solutions that optimize the design and maintenance of complex systems in mission- and safety-critical industries. As the global standard for engineering decision support, PHMT enables digitization to enhance asset reliability, safety, and maintainability. Our Model-based RAMS approach integrates dynamic modeling, simulation, and real-time data sharing to reduce ownership costs and improve decision-making. By leveraging Causationbased AI, we provide predictive insights that identify and mitigate risks early. PHMT empowers organizations with smarter, more resilient engineering systems that drive efficiency, reliability, and long-term operational success.
PHM Technology develops a range of software tools aimed at assisting OEM’s and operators of mission critical systems to better manage their risk, system complexity, safety and total cost of ownership to produce a better system/asset. Our two software platforms are:
MADE
• MADE provides safer more reliable assets through better, faster and cheaper risk analyses using Model-based RAMS. MADE Consists of 4 modules:
– Modelling - Generate a Digital Risk Twin (DRT)
– Safety Risk Assessment (SRA) - Automate and standardize failure/ hazard analysis
– Reliability Availability & Maintainability (RAM) - Model-based analysis enables continuous trade studies
– Prognostics Health Management - Verification of diagnostics & PHM Trade Studies
MODE
• MODE is a collection of software that aims at lowering cost of ownership through improved quality of data and causation-based AI for failure detection and isolation (FDI). MODE software includes:
– Syndrome Diagnostics (SD) - Causation-based AI for Failure Detection & Isolation
– Guided Reporting & Inspection tool (GRIt) - an intelligent, manual failure reporting solution that speeds up the reporting process and Increases the accuracy of operational data capture by maintainers
– Availability Optimization AI (AOAI) - an intelligent maintenace optimization solution. AOAI leverages the Digital Risk Twin (DRT) to drive real-time decision optimization for maintenance. Including: Opportunistic Maintenance, Maintenance Prioritization, Maintenance Effectiveness and Fleet Availability Optimization
– Autonomous Failure Reporting And Corrective Action System (aFRACAS)
- an automated process to address systemic failures in the system. Based on the DRT, relevant analyses and data is used to identify, justify and track corrective actions
MADE Advantages:
• The only Model-Based RAMS tool in market
• Utilizes a Digital Risk Twin (DRT)
• Uses structured engineering taxonomies
• Digitizes domain knowledge
• Standardized analysis workflows
• Traceability and high-fidelity failure dependency mapping
• Repeatable analysis
MODE’s SD Advantages:
• A Causation-based AI approach
• Engineering context into failure identification
• Optimized performance with less data
• Fast ROI
• Adapts to system changes quickly
• Prevents critical failures
• High prediction integrity
• Faster fault detection
• Early detection of incipient failures
• Robust solution that reduces Overfit
• Transparent decisions
PHM Technology provides comprehensive global support for both MADE and MODE through strategically located offices across North America, Europe, and Australia, ensuring coverage across all major time zones. Our expert teams offer end-toend technical assistance, from installation to ongoing training and optimization, meeting the stringent security and reliability demands of mission-critical systems. Where country-specific requirements apply, PHM Technology delivers localized support through dedicated offices or leverages a network of trusted partners, including Siemens, to ensure seamless integration and compliance. This global support framework guarantees our customers receive timely, secure, and expert-driven assistance whenever and wherever needed.
• Amazon Kupier
• L3 Harris
• NASA
• Blue Origin
• Williams International
• Lockheed Martin
• Northrop Grumman
• Boeing
• Bombardier
• BAE Systems
• Hyundai
• Rheinmetall
• Gulfstream
• Microsoft
• United States Army
• United States Navy
• Navantia
• Austal
• General Dynamics Land Systems
• KBR Engineering
• Oshkosh Defence
• Siemens
• Dentsu Soken Inc
• CDT
• Integral Analytics