| Q3Automator | Engine Health Monitoring (EHM) — core cycleCivil Aerospace / MRO | ✅ | Continuous algorithmic sensing and scoring of 10,000+ parameters per engine per flight. The Blue Data Thread feeds data into Rolls-Royce's cloud analytics platform in real time. A five-layer automated checking process (sense check, continuous testing, output validation, data integrity verification, human exception review) runs every 12 minutes over data from half a million flights. Anomaly flags and maintenance demand signals are generated without per-event human approval. The system prevents approximately 400 unplanned maintenance events annually fleet-wide.As of April 2026 |
| Q3Automator | Product-level engine digital twinCivil Aerospace / predictive maintenance | ✅ | For each in-service engine, a high-fidelity virtual replica is continuously updated from sensor data, operating in virtual space as the physical engine operates in the real world. It predicts maintenance needs based on actual operating conditions rather than statistical probability curves, with AI algorithms auto-detecting sub-optimal engine performance and triggering condition-based maintenance alerts. The twin also reduces the need for physical test rigs by supporting virtual design testing.As of April 2026 |
| Q3Automator | TotalCare long-term service agreement (LTSA) modelCivil Aerospace / business model | ✅ | A per-flying-hour revenue model under which Rolls-Royce assumes full maintenance responsibility for engines, so every AI-driven improvement in engine uptime and time-on-wing directly increases margin. LTSA invoiced flying-hour receipts were £5.5bn in 2024, up from £4.6bn in 2023. Civil Aerospace operating profit rose from £850m in 2023 to £1.5bn in 2024, driven in part by improved LTSA profit.As of April 2026 |
| Q3Automator | IFS and Uptake partnerships — fleet analytics and schedulingCivil Aerospace / MRO scheduling | 🔶 | Rolls-Royce collaborates with IFS (enterprise asset management) and Uptake (AI fleet analytics) to optimise Trent engine fleet maintenance scheduling. These partners analyse disparate data sets to continuously optimise performance and maintenance scheduling, with IFS integration creating the demand signal that flows from AI prediction to MRO scheduling to engine induction to return to service.As of April 2026 |
| Q5Partner | Intelligent Borescope — AI-augmented internal engine inspectionCivil Aerospace / MRO | ✅ | Combines AI-driven image analysis with advanced robotics to inspect hard-to-reach internal engine components without engine removal. Computer vision analyses borescope imagery and flags anomalies for engineer review, delivering a 75% reduction in inspection time for certain internal checks and an estimated £100m savings over five years. A DSTA Singapore partnership extends the same machine vision approach to RSAF aircraft engine inspection.As of April 2026 |
| Q5Partner | AI design simulation (Azure Databricks/Unity Catalog)Civil and Defence Aerospace / R&D | 🔶 | Uses Microsoft Azure Databricks, Unity Catalog, and high-performance GPUs to run complex simulations exploring design parameter spaces in hours rather than years. Engineers define design objectives, constraints, and evaluation criteria; AI explores the parameter space and returns candidate designs or performance predictions, and engineers select, refine, and validate.As of April 2026 |
| Q4Weaver | Smart Discovery — no-code AI analytics platformCross-division / engineering workforce | 🔶 | Suite of AI-powered no-code analytics tools developed with the Rolls-Royce@NTU Corporate Lab in Singapore, enabling domain-expert engineers without formal data science training to conduct complex analyses, root cause analysis, feature selection, and correlation identification. In documented cases, engineers identified root causes of manufacturing or operational issues in minutes rather than weeks.As of April 2026 |
| Q5Partner | SWARM miniature robots — engine inspectionCivil Aerospace / MRO | 🔶 | Tiny (~10mm) robot devices capable of crawling inside aircraft engines to perform visual inspection of hard-to-reach components, mounted with cameras providing a live video feed so engineers can see real-time internal engine state without disassembly. Current deployment status is in development / early demonstration.As of April 2026 |
| Q3Automator | Signature Analyzer — turbine blade inspection AIManufacturing / quality assurance | ✅ | ML and generative AI analyse machine vibration data from the drilling of microscopic cooling holes in turbine blades, a task previously done by laborious manual inspection. The system continuously monitors the drilling process and predicts defect patterns, achieving a 30% increase in machine utilisation and significantly reducing erroneous scrap.As of April 2026 |
| Q3Automator | PCB Line Optimizer (Dataiku partnership)Manufacturing / robotics | ✅ | AI automates complex decision workflows on a robotic printed circuit board production line, reducing a process that previously took eight weeks to a matter of minutes. Dataiku AI orchestrates the workflow automation while engineers govern the process parameters and exception handling.As of April 2026 |
| Q3Automator | Factory machinery predictive maintenance AIManufacturing / operations | 🔶 | AI-driven monitoring systems predict machine downtime on the factory floor, enabling proactive maintenance scheduling and contributing to the 30% increase in machine utilisation. The pattern mirrors EHM applied internally: the machine continuously monitors factory equipment health and generates maintenance demand signals for human maintenance teams to act on.As of April 2026 |
| Q6Optimiser | Aerogility enterprise fleet digital twinCivil Aerospace / global service network | 🔶 | An enterprise-level digital twin of Rolls-Royce's entire global service and support network, built in partnership with AI firm Aerogility, continuously models shop visit capacity, inventory levels, fleet utilisation, maintenance scheduling, and environmental impact, running complex what-if scenarios to optimise resource allocation across the fleet and model net-zero pathway strategies.As of April 2026 |
| Q6Optimiser | mtu EnergetIQ — Power Systems microgrid optimiserPower Systems / energy management | 🔶 | AI-driven optimisation of hybrid microgrid energy systems combining diesel, battery, and other sources. Operators set objectives such as cost minimisation, emissions targets, and reliability requirements, and the AI manages real-time energy routing and load balancing within those constraints.As of April 2026 |
| Q7Navigator | Artificial Chief Engineer (ACE) — naval autonomyDefence / unmanned naval vessels | ◻️ | An AI-driven on-board autonomous machinery control system designed for lean-manned and unmanned naval vessels during long-endurance missions, making condition-based decisions about ship machinery operation using algorithms to optimise the ship's systems. Sensor fusion from radar, HD cameras, thermal cameras, and LiDAR provides situational awareness. Funded by the UK Ministry of Defence's Intelligent Ship Phase Two programme.As of April 2026 |
| Q3Automator | GCAP/Tempest integrated power and propulsionDefence / sixth-generation combat air | ◻️ | Rolls-Royce is the exclusive propulsion provider for GCAP, the UK-Italy-Japan sixth-generation fighter programme targeting 2035 in-service. The integrated electric power and propulsion architecture must manage distributed energy demands for propulsion, directed energy weapons, advanced radar, and electronic warfare simultaneously, requiring AI for real-time demand balancing. The AI autonomy dimensions of GCAP itself — combat cloud, manned-unmanned teaming, targeting — are managed by the platform-level systems consortium.As of April 2026 |
| Q3Automator | FanSense — foreign object debris (FOD) detectionDefence / aerospace | ◻️ | AI-based digital foreign object debris detection system for jet engines, currently supporting the Pegasus engine, with a US Navy research contract (~$1m) to further develop and validate real-time FOD ingestion event monitoring. Current status is validation phase.As of April 2026 |
| Q3Automator | Small Modular Reactor (SMR) — 470 MWe PWRNew Markets / nuclear energy | ❔ | Rolls-Royce SMR is developing a 470 MWe pressurised water reactor, selected by the UK's Great British Nuclear competition in June 2025 and named a Vattenfall final-stage contender for Sweden in August 2025. Currently in regulatory design assessment with construction not commenced. AI relevance is prospective: plant monitoring, predictive maintenance, and operational control will require AI systems analogous to EHM for nuclear assets, but no current AI deployment exists.As of April 2026 |