Case Studies
Production outcomes begin with a business constraint — not a technology shopping list.
Explore how specialist AI teams are applying agents, GenAI, multimodal intelligence, digital twins, computer vision and predictive systems to real enterprise problems.
43 Use Cases · 9 Industries · 100+ AI Specialists Deployed
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5 Manufacturing case studies
Illustrative use cases and outcome figures; not independently verified client results. Reference architectures describe a plausible approach.
Combined equipment telemetry and historical maintenance information to detect anomalies and predict potential equipment failures.
Unplanned downtime
People deployed
Built computer vision models to automatically identify product defects and manufacturing inconsistencies during production.
Defect detection accuracy
People deployed
Created a real-time digital representation of production lines that simulates throughput, machine behaviour and bottlenecks before operational changes are deployed.
Production throughput
People deployed
Built an AI optimisation layer that continuously analyses machine state, production schedules, energy consumption and quality signals to recommend operating parameters.
Production cost
People deployed
Created a multimodal maintenance agent allowing engineers to combine equipment images, manuals, sensor data and natural-language questions during troubleshooting.
Mean time to repair
People deployed
Your outcome
We can help frame the opportunity, test the critical assumptions, assemble the right engineering capability and take the system from concept to production.
Add specialist AI capability.
Deploy a cross-functional AI pod.
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