01
Sense
Read the physical world
- IoT monitoring for transformers, turbines and transmission equipment
- Drones and computer vision to inspect lines, substations and solar panels
- AeroTrack follows field crews and equipment on large, remote sites
Mission Critical
Energy Sector
Find the failing asset before the grid does.
Grid and asset health monitoring, demand forecasting and always-on operations for power producers and utilities.
Drag to look around
Illustrative scene, not a customer site
What’s at stake
Where it hurts.
- 01
Assets are ageing and far apart.
Transformers, turbines and transmission lines are spread across territory that’s slow and costly to inspect.
- 02
Supply has become harder to predict.
Solar and wind make generation harder to forecast and the grid harder to balance.
- 03
Availability is not optional.
The IT, network and security systems behind the grid need the same reliability as the grid itself.
How it fits together
From the sensor to the decision.
02
Understand
Turn it into a live picture
- Machine learning forecasts demand and renewable generation
- A system twin connects SCADA with live asset data
- One lakehouse for operational and business data
03
Act
Warn or fix before failure
- Predict failures and plan maintenance from real-time condition data
- Anticipate outages using weather, equipment and historical data
- AIOps brings IT, network and security signals into one view
Where to begin
Where utilities start.
- Asset healthCondition monitoring on the transformers and lines you worry about most.
- Outage predictionAnticipate grid outages and plan crew dispatch before customers are affected.
- Infrastructure inspectionUse drones to find defects and vegetation encroachment automatically.
- Renewable forecastingPredict solar and wind generation to help integrate it into the grid.
Digital twin
Test it before you touch it.
Facility-, network- and city-scale simulations, integrated with SCADA and deployable on-premise.
Explore the twin- Predictive simulation and what-if analysis
- AI-driven predictive maintenance and anomaly detection
- Real-time sensor integration and streaming telemetry
Which asset keeps you up at night?
Start there. We’ll scope the sensors, data and models it needs.