We Are Almost There
The MODE Platform has just unveiled its groundbreaking first module: Syndrome Diagnostics (SD). As one of the few causation-based AI Failure Detection and Isolation (FDI) tools available, SD represents a significant leap forward in technology. Currently, SD is in advanced trials with select customers, delivering impressive results.
Don't miss out on this opportunity to revolutionize your operations. Become one of our exclusive trial customers by submitting an enquiry through our website today!
PHM Technology Ecosystem
Power of the PHM Ecosystem
Unlock value (improved reliability, availability, maintainability & safety) in your asset that is not achievable with traditional RAMS methods.
Utilize a common taxonomy through the life of a project and reduce communication errors between disciplines.
Capture & protect the knowledge in your project by efficiently digitising your RAMS data & analyses within your system models.
Perform key RAMS analyses with one click, reliably and consistently preserving the integrity of your analyses between design iterations.
Get out in-front of your competitors with improved RAMS system design, & performance providing superior system reliability, availability, maintability & safety.
Understand the cause of failures in your system using our failure depency maps & our Causation-based AI, allowing you to more reliably predict failures & optimise maintenance.
Our RAMS Model-based approach will optimise your maintenance, reducing Total Cost of Ownership (TCO) of your system.
Sydndrome Diagnostics (SD) utilizes our Digital Risk Twin (DRT) to predict crticial system failures before they happen, reducing unplanned downtime.
Why Choose MADE For Your RAMS?
Digital Risk Twin
MADE uses extensive libraries to create a digital representation of a physical system that is able to identify, analyse and mitigate technical engineering risk in complex mission-critical systems.Fast & Repeatable
Optimizing your system design to achieve your RAMS requirements shouldn’t be complicated to manage, track, or perform consistently across design iterations. MADE’s model-based approach simulates risk analysis rapidly and consistently performing key RAMS analyses with a level of integrity that enable systems to achieve hyper-performance.Single Source of Truth
A single source of truth in model-based analyses ensures that all stakeholders rely on a consistent and authoritative dataset, minimizing the risk of conflicting or unreliable information. This central data repository forms the foundation for robust decision-making, promoting transparency and accuracy in analytical outcomes.Automated & Objective
Identifying all your system risks should not be hit and miss. MADE’s model-based approach objectively identifies risks associated with your system at the earliest possible design stage, giving your team the opportunity to cost effectively design out failures or high demand maintenance strategies.Close the Loop
Our platforms work together to close the RAMS design Loop, improving RAMS integrity. Join the next generation of RAMS Risk Simulation.Explainability
Understand the functional nature of a system, identify and understand how failures occur step by step with a Digital Risk Twin. This alllows engineers to make cost effective design changes, at the earliest possible stage of design, that can ensure the reliablity of your asset.At PHM Technology we are RAMS people first and foremost. We live and breathe RAMS for complex, safety & mission critical organisations on a journey to better quality outcomes. We have pioneerd the shift-left for maintenance design, commercialising 35 plus years of experience in Maintenance Aware Engineering Design that we have encapsulated in our software Ecosystems.
As experienced engineers we have developed market leading model-based technology, the MADE & MODE Software Platforms. Our software platforms create and utilise Digital RAMS Twins and Causation-based AI to deliver solutions that solve real engineering challenges.
Our software is unique in the way it digitalises RAMS and integrates this data into the design and operation phases of assets, delivering a better quality product not achievable through other means.
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