As aerospace maintenance, repair and overhaul (MRO) providers race to reduce turnaround times and improve asset availability, Derby-based AddQual believes the industry’s biggest opportunity lies not in aircraft production, but in the complexity of repair. While major digital engineering providers continue to focus on OEM production environments and Product Lifecycle Management (PLM), AddQual is positioning itself in a space many larger software businesses still struggle to address effectively: the highly variable, logic-driven world of aerospace repair operations. For Managing Director AddQual, the long-term commercial value in aerospace increasingly sits in the aftermarket.
“Repair is actually a bigger market than OEM,” explains Ben Anderson. “You build an engine once, but it may fly for 25 years and require multiple repair cycles throughout its life. That’s where the real operational challenge exists — and where the data opportunity is.” The company’s MiDAS platform has been developed specifically to support that challenge, bringing together digital inspection, process capability monitoring, repair decision support and operational intelligence into a single structured workflow. Rather than replacing engineering judgement, AddQual’s approach focuses on augmenting it — helping inspectors, engineers and OEMs make faster, evidence-based decisions using live production and inspection data.
Turning inspection data into operational intelligence
Many aerospace MRO operations still rely on fragmented systems, tribal knowledge and disconnected inspection processes, making it difficult to achieve consistent repair outcomes or learn systematically from historical failures. MiDAS has been designed to standardise how inspection and repair activity is planned, executed and analysed, transforming measurement data into actionable operational intelligence. The platform captures incoming part condition, process capability, inspection variables and repair feasibility data while monitoring key risk indicators throughout the repair journey. It also enables operators to model “what-if” scenarios around tolerance changes, process capability adjustments and acceptance limits to understand impacts on yield, throughput and turnaround time.In practical terms, this allows MRO businesses to move away from reactive repair decisions and towards faster “fail-fast” and “pass-fast” outcomes — reducing unnecessary downstream processing and improving repair confidence earlier in the inspection cycle. That capability becomes particularly important in turbine repair environments, where small inconsistencies can create major cost and scheduling implications for airlines and OEMs alike.
AI, automation and the growing importance of repair intelligence
The wider aerospace industry is already moving rapidly toward predictive maintenance and AI-assisted inspection. Major OEMs including Rolls-Royce, Airbus and Boeing are investing heavily in platforms capable of analysing large volumes of operational and sensor data to predict failures, optimise maintenance intervals and reduce aircraft-on-ground events. But while many enterprise systems perform well in structured OEM manufacturing environments, AddQual sees a significant gap in repair-focused decision intelligence.
“MRO is far more difficult because there’s a huge amount of logic involved,” says Anderson. “Every repair scenario can be different. You’re constantly making decisions based on condition, capability, risk and historical outcomes.” That variability is precisely where AddQual believes its digital inspection architecture provides an advantage. The company’s “Zero Defect Journey” framework maps the entire repair process from incoming condition assessment through guided inspection, feasibility checks, repair routing and OEM-ready evidence generation. The objective is not simply automation for automation’s sake, but creating structured, traceable and defensible repair decisions that improve consistency across the operation.According to AddQual, the benefits include:
- Earlier out-of-limit detection
- Faster scrap, concession or repair-path decisions
- Reduced rework and variation
- Improved repair yield
- Stronger OEM confidence
- Faster turnaround without increasing operational risk
- Accelerated inspector capability development
- Greater audit and compliance readiness
The system also creates a feedback loop from historical repair outcomes, enabling organisations to learn from previous failures and optimise future inspection strategies. One example highlighted internally is the ability to identify recurring failure patterns on specific engine programmes and adjust future inspection routing accordingly.
Digital twins become operational tools
AddQual is also embedding digital twin capability into its wider digital manufacturing and repair portfolio. Rather than treating digital twins as standalone visualisation tools, the company sees them as operational modules capable of supporting repair feasibility, process optimisation and decision validation in real-world MRO environments. This aligns with a wider industry shift toward simulation-led maintenance planning, where virtual representations of components can help predict wear, evaluate repair scenarios and reduce unnecessary processing. For AddQual, however, the emphasis remains on practical deployment rather than theoretical capability
Positioning for the next phase of aerospace MRO
As airlines continue to face pressure around fleet availability, cost control and ageing aircraft infrastructure, demand for smarter repair decision-making is only expected to increase.Industry-wide adoption of AI in MRO may still face challenges around data quality, integration and regulatory assurance, but the direction of travel is increasingly clear: faster, more connected and evidence-driven maintenance operations. For AddQual, the opportunity lies in helping aerospace businesses bridge the gap between inspection activity and operational intelligence.Rather than competing directly with enterprise-scale PLM providers, the company is carving out a niche around repair-centric data workflows — an area where OEMs, airlines and MRO providers still face significant inefficiencies.Anderson believes the next six months will be critical in turning that positioning into new commercial conversations."We’re helping organisations make better decisions from the data they already have.”
