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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
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.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
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.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
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.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.