Industry
Your control room watches the grid in real time on a wall of screens. The asset that failed on Tuesday had been telling you for weeks — in vibration data, in weather exposure, in an overdue inspection — but never in the same place at the same time.
Energy and utilities are instrumented to the second, yet the costliest events are still the ones nobody connected in time. The gap is not more telemetry. It is the distance between a sensor noticing something and a crew being sent to the right place with the right part.
Data domains
Assets
The physical estate — transformers, lines, turbines — with condition, age and maintenance history.
asset management (EAM) · condition monitoring · inspection records
Grid and network
Topology, flows, loading and real-time state — how the network is behaving right now and where.
SCADA · GIS · outage management
Metering
Consumption and generation reads down to the connection point, feeding demand and billing alike.
advanced metering infrastructure · meter data management
Customers
Connections, accounts, contact and service history behind every supply point.
CRM · billing · contact centre
Contracts and tariffs
Supply and connection agreements, tariffs and obligations that govern each customer relationship.
contract management · billing · tariff systems
Field service
Crews, skills, locations, work orders and parts — the capacity to actually intervene.
field service management · workforce scheduling · parts inventory
Market and trading
Prices, positions, generation and settlement — the commercial context of every operational choice.
trading systems · market operator feeds · settlement
Weather
Forecast and observed conditions by location — the biggest single driver of demand and asset stress.
weather forecast providers · lightning and storm feeds
Finance and cost
Cost, revenue, the value of lost load and the real cost of an outage or a failed asset.
ERP finance · regulatory reporting
Source systems
What the analytics estate usually looks like
Typical data flow
Real-time operational twin
For operations that move in minutes, not months. Machine and process data becomes a live picture of the operation that people and AI can both reason about.
Flagship experience
One live view of an asset — its telemetry, its condition, the weather it faces and the crew that can reach it — that turns an anomaly into a dispatched job.
Application opportunities
One live view of an asset — its telemetry, its condition, the weather it faces and the crew that can reach it — that turns an anomaly into a dispatched job.
Decision
This asset is behaving abnormally. How serious is it, and what is the right field response right now?
Give the control room the live network state, the likely cause of a disturbance and the safe options — in one place, at the speed the grid moves.
Decision
What is happening on the network right now, why, and what is the safe next move?
Rank field work by what it protects — safety, supply and cost — and match it to the crews and parts actually available.
Decision
Of all the work we could send crews to do, what should we do next and who should do it?
Put demand and generation forecasts next to the actions they should drive — positions to take, plant to ready, crews to pre-stage.
Decision
Given the forecast, what should we do now to be ready for it?
One view of a customer's connections, contracts, consumption and open issues, so the person serving them can resolve it in one contact.
Decision
What does this customer hold and owe, what is going wrong, and what is the right resolution?
Impact, readiness and speed are editorial judgement offered to help prioritise a conversation. They are not research statistics and they are not market data.
Illustrative demonstration. Kelvara Grid, its network, substations, crews and all data shown are fictional. The generated assessment is deterministic and requires no AI service.