Back to Case Studies
Energy & Infrastructure
Energy & Utilities
ClientNational Grid & Utilities Operator
SectorEnergy & Infrastructure
Timeline10–14 weeks
StatusActive / Deployed
Operational Challenge
Reactive maintenance practices and poor visibility into physical assets.
Key Success Factor
Converted telemetry data into actionable operational intelligence.
Solution Implemented
Built a Spatial AI and Digital Twin platform for predictive maintenance and asset intelligence.
Solution Architecture
Leveraged real-time spatial telemetry and physics-informed ML to create a high-fidelity digital twin that predicts structural stress points and equipment failures.
Spatial AIDigital TwinsIoT Sensor FusionPredictive Analytics
Architecture
Infrastructure Deployed
NODE_01
Real-time IoT monitoring
NODE_02
Predictive maintenance models
NODE_03
Centralized operational dashboards
ROI & Metrics
Business Impact
KPI Node 01
30–45% reduction in downtime
KPI Node 02
Higher asset utilization
KPI Node 03
Improved operational visibility
"The transition from reactive to predictive maintenance has saved millions in unscheduled downtime and optimized our engineering resources."
Director of Operations
National Grid & Utilities