Akashic for energy and utilities · Utilities & grid operators
See the grid before it fails.
The telemetry that predicts a failure already exists. It sits in a historian nobody queries. Akashic unifies SCADA, metering, and asset data into one governed live picture, so the grid is maintained on condition, not on the calendar.
Telemetry signal
Temp · load · vibration
Asset graph
Feeder · substation · lineage
Enterprise record
Age · inspection · criticality
Thermal drift · TX-042 · Feeder 7
Flagged before the trip · work order ready
Telemetry
920/s
Condition
TX-042
Lead time
9 days
Systems joined
The outage reached you as phone calls, not as data.
What the historian held
11 days.
Thermal drift · recorded, never queried
The signal that predicted the trip was in the historian the whole time. No system ever asked it a question.
How you found out
Call centre
Peak evening · after the feeder tripped
The asset register said mid-life. The maintenance plan said next quarter. The control room learned of the outage from customers, and the post-mortem found the signal everyone technically had.
The gap between the historian and the control room is where the outage lives.
Historian
Day 1
Historian
Day 6
Historian
Day 11
What the grid is already saying
RESOLVE
One asset, full lineage
Live telemetry, inspection history, and asset record resolve into one register entry.
PATTERN
Thermal drift recognised
The signature that precedes a trip is matched against this transformer's own history.
ACT
Crew dispatched on condition
The work order carries the telemetry and the location, days before the peak load.
1
Telemetry locked in the historian
SCADA and sensor history accumulate in systems built for recording, not for asking. The signals that precede failure are stored and never seen.
2
Assets maintained on the calendar
Inspection and replacement run on fixed schedules. Healthy assets get serviced early, failing assets fail first, and the plan never learns.
3
Load forecast apart from live demand
Planning models run on historical aggregates while metering data streams in real time. The two meet in a monthly report, after the peak has passed.
None of these are people problems. All of them are architecture problems.
The grid has been talking all along. Now someone is listening.
Scroll through your own grid: the players you already have, and what changes when their data lands on one governed record.
- 01
The players
The grid already reports everything.
Feeders, substations, meters, the historian, the asset register: the signals exist. Nobody is listening to all of them at once.
- 02
Telemetry streams
The historian comes alive.
SCADA and metering stream onto the governed foundation, joined to weather and outage events in real time.
- 03
Assets resolve
Every asset carries its history.
Live telemetry links to inspection records and lineage, so condition is judged per asset, not per calendar.
- 04
The room sees it coming
Dispatched before the trip.
The thermal drift on TX-042 raises a work order on day two. Peak evening passes without a single call.
One live picture of the grid, governed end to end.
Akashic sits across your operational systems: streaming telemetry, resolving every asset into one record, and turning the historian from an archive into the thing that warns you first.
01 / Unify
Every signal, one foundation
Data Pipelines stream SCADA, AMI metering, weather, and outage events as they happen. Master Data resolves every asset, feeder, and site into one governed register.
02 / Govern
An asset record you can audit
The warehouse links live telemetry to inspection history and asset lineage. Regulatory reporting draws from the same governed record operations run on.
03 / Predict
Failure flagged before the trip
Models trained on your own telemetry recognise the drift that precedes failure and forecast load on live signals, so maintenance and dispatch run on condition.
04 / Act
The control room asks, the grid answers
Operators ask which assets are trending toward failure and get an answer with the telemetry, the history, and the location attached. Leadership sees grid health live.
Every module runs on the same governed foundation · every answer arrives with its lineage
What changes in the control room.
Same grid. Same crews. Failures seen coming instead of explained afterwards.
BeforeFailures explained in the post-mortem
AfterDrift flagged days before the trip
BeforeMaintenance on a fixed calendar
AfterCrews dispatched on asset condition
BeforeLoad planned on historical aggregates
AfterDemand forecast on live metering
BeforeOutages reported by the call centre
AfterThe grid reports on itself, with lineage
Let's talk about your grid.
Whether it's a historian full of unread signals or a maintenance plan that never learns, we'd like to show you what a grid that reports on itself actually looks like.