Certification and safety evidence
Connect hazards, failure modes, causes, effects, controls and analysis outputs so engineering evidence remains traceable and consistent as the design evolves.
MADE helps aviation organisations connect design, reliability, safety, maintainability, certification and sustainment analysis into one trusted Digital Risk Twin.
Aviation platforms operate under extreme expectations for safety, reliability, operational readiness and cost control. Traditional document-based RAMS processes struggle to keep pace with design change, certification evidence and sustainment planning.
MADE enables teams to understand how failures propagate, how risk accumulates and how maintenance and design decisions impact operational outcomes across the lifecycle.
MADE supports aerospace teams managing high assurance, complex interdependencies and long lifecycle sustainment demands.
Connect hazards, failure modes, causes, effects, controls and analysis outputs so engineering evidence remains traceable and consistent as the design evolves.
Evaluate how design choices, component reliability, maintenance intervals and support strategies affect aircraft availability and lifecycle cost.
Understand how failures move through mechanical, electrical, avionics, propulsion and support systems using a connected model-based approach.
Support better maintenance planning by connecting reliability, failure behaviour, operational usage and supportability decisions.
Reduce rework by maintaining a single model-based source of truth that can reflect system changes and update downstream analysis.
Use system knowledge to support explainable diagnostics, fault isolation and prognostic health management strategies.
MADE creates a Digital Risk Twin of the aviation system, connecting design structure, failure logic, reliability data, safety analysis and supportability information into a living engineering model.
This allows aviation teams to move beyond isolated reports and understand the real system-level implications of risk, change, maintenance and operational decisions.
MADE supports streamlined aerospace certification by using a Digital Risk Twin and Model-Based Safety Analysis approach to help perform PASA/PSSA activities within an integrated analysis toolset. It supports recommended safety analysis techniques associated with ARP4761 and ARP4754, helping improve consistency, traceability, repeatability and understanding of system behaviour.
Complex aircraft systems require tools that maintain data quality, usability, integrity, currency and knowledge capture. MADE helps aviation organisations connect safety, reliability, supportability and lifecycle analysis around a consistent model-based foundation.
MADE supports executive decision-making, management efficiency, engineering productivity and research by connecting analysis outputs to one trusted system model.
Cost: Optimise and validate the accuracy of economic forecasting for design and support budgets.
Process: Ensure consistency and traceability of engineering validation across aviation engineering processes.
Technical: Integrate safety, reliability and supportability engineering analysis tools and data with enterprise IT architecture, including CAD and PLM.
Cost: Automate analysis to generate significant productivity and schedule improvements for projects and teams.
Process: Enable parallel and concurrent analyses based on a single source of truth — the MADE model.
Technical: Leverage GUI-based knowledge management to capture engineering decisions across the aviation lifecycle.
Cost: Enable cost-effective trade studies and allow engineers to focus on technical decision-making rather than data entry.
Process: Generate technically validated design and support concepts using a consistent, extensible analysis framework.
Technical: Improve data quality and process consistency through integrated model-based analysis.
Cost: Model-based simulation and automated analysis allow researchers to focus on outcomes rather than data entry.
Process: Structured models, taxonomies and automation support traceability of data used in research projects.
Technical: Integrated analysis improves data quality and process consistency across research and validation activities.
MADE can support RAMS and lifecycle decision-making across new aircraft development, legacy sustainment and advanced autonomous aviation systems.
Support reliability, maintainability, safety analysis and lifecycle planning for highly integrated passenger aircraft systems.
Improve mission readiness, supportability and risk visibility across complex defence aviation platforms.
Model autonomous systems, sensor dependencies, mission risk and maintenance strategies for uncrewed aviation assets.
Analyse failure propagation, reliability drivers and maintenance impacts across engine and propulsion subsystems.
Connect failure logic, redundancy, diagnostics and safety-critical dependencies across electrical and avionics architectures.
Improve maintenance planning, support equipment decisions and fleet-level sustainment outcomes.
MADE brings core RAMS and model-based analysis capabilities together in one environment.
Support manual, model-based or hybrid FTA workflows to understand top-level events, failure combinations and system risk contributors.
Generate and manage structured failure mode analysis connected to the underlying system model.
Evaluate system reliability, operational availability, downtime drivers and mission supportability.
Optimise maintenance concepts and support strategies based on failure behaviour, consequence and operational impact.
Support Digital Diagnostic Twin development by connecting failure logic, symptoms and diagnostic reasoning.
Strengthen traceability between requirements, design, RAMS outputs and lifecycle decision-making.
MADE helps teams move from fragmented analysis to connected engineering intelligence.
MADE turns fragmented analysis into connected aviation intelligence — helping teams improve safety, reliability, supportability, streamlined certification, lifecycle cost and operational availability through a living Digital Risk Twin.