Technicians manually checked 2 million cooling holes monthly. Now, ML targets specific defects, cutting resolution to near real-time.
A century-old global aerospace manufacturer delivering propulsion and power solutions for land, sea, and air applications.
Design cycles relied on manual processes taking years to complete, while quality control required technicians to manually inspect 2 million cooling...
“Digital is a key enabler of our transformation. And whilst we are already seeing clear benefits—whether in engine design, operations, or customer solutions—there’s still much more to unlock.”
Power and propulsion systems for aviation, defense, and energy sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Rolls-Royce's Manufacturing and maintenance is part of this use case:
Related implementations across industries and use cases
Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
Engineers spent 2–3 days manually tagging complex diagrams. AI now extracts that data in under an hour, improving accuracy.
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Technicians manually checked 2 million cooling holes monthly. Now, ML targets specific defects, cutting resolution to near real-time.
A century-old global aerospace manufacturer delivering propulsion and power solutions for land, sea, and air applications.
Design cycles relied on manual processes taking years to complete, while quality control required technicians to manually inspect 2 million cooling...
“Digital is a key enabler of our transformation. And whilst we are already seeing clear benefits—whether in engine design, operations, or customer solutions—there’s still much more to unlock.”
Power and propulsion systems for aviation, defense, and energy sectors.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Rolls-Royce's Manufacturing and maintenance is part of this use case:
Related implementations across industries and use cases
Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
Engineers spent 2–3 days manually tagging complex diagrams. AI now extracts that data in under an hour, improving accuracy.
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.