Generation
Forecast capacity, compare plant conditions and plan maintenance.
Detect
Combine SCADA/IoT signals with asset registers, inspections and service history.
POWER & UTILITIESReliable, efficient,
Reliable, efficient,
resilient power.
Connect SCADA signals, maintenance records and field evidence so grid teams can detect credible risks, prioritise crews and maintain reliable service.
02 / GRID ENGINEERINGINTERACTIVE ELECTRICITY NETWORK
From generation to the customer, every signal matters.
Explore four operational layers. Select a layer to open the dedicated solution page; this architecture represents proposed data connections, not a live grid feed.
GENERATION
Generation
Output, dispatch and plant health
View application ↗TRANSMISSIONTransmission
Congestion, faults and line assets
View application ↗DISTRIBUTIONDistribution
Transformer health and field response
View application ↗CONSUMERSConsumers
Load forecasting and service quality
View application ↗01 SCADA / TELEMETRY02 MODELLED EXCEPTIONS03 ENGINEER REVIEW04 SERVICE OUTCOME
FROM GENERATION TO CONSUMER
A different operating challenge at every grid layer.
Technology needs differ across generating plants, transmission networks, DISCOMs and customer services.
Transmission
Assess asset health, right-of-way issues and reliability risks.
Distribution
Prioritise faults, loss signals and consumer service backlogs.
Consumer services
Streamline complaints, field visits and status communications.
FIELD REALITY
An alarm is only useful when someone can act.
Combine the signal with equipment age, loading, fault history and the crew responsible for checking it.
Prioritise
Rank exceptions by consequence, failure likelihood and field urgency.
Act
Generate approved work orders and log evidence from completion.
Learn
Use observed failure and repair records to refine decision thresholds.
UTILITY USE CASES
Explore the specialist solutions behind grid reliability.
Inspect how asset health, demand, loss anomalies and geospatial planning would connect with existing utility operations.
↗RELIABILITY
Asset Health Monitoring
Condition monitoring, failure risks and preventive maintenance.
↗FORECASTING
Demand Forecasting
Short-term load and peak-period decision support.
↗LOSSES
Energy Fraud Analytics
Suspicious consumption patterns for supervised investigation.
↗GEOGRAPHIC AI
Geospatial Asset Intelligence
Map infrastructure exposure and asset inspection priorities.
HOW TO BEGIN
Prove value on one feeder before scaling.
Select one utility asset group, assess available SCADA and maintenance records, and test whether warnings lead to better field decisions.
Asset historyCondition and work-order records
Decision baselineCurrent outage and repair workflow
Pilot boundaryA defined site, line or feeder
EvidenceMeasured reliability and effort
ONE PRACTICAL UTILITY JOURNEY
From an abnormal feeder signal to a field decision.
The opportunity is to prioritise maintenance, not to replace a utility's authorised protection, dispatch or SCADA functions.
01
Observe
Combine permissible network telemetry, asset history, outage events and inspection records.
02
Rank
Estimate which issues merit immediate verification, accounting for safety, critical loads and data quality.
03
Respond
Route reviewed work to authorised operators, capture field evidence and measure resolution.