The forecast is not trusted
So the control room overrides it anyway.
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Energy & utilities
Forecasts the control room will actually act on.
Load and generation forecasting, asset inspection from imagery, and outage analytics for generators, networks and utilities.
- Shadow mode before dispatch
- One-way OT boundary
- Backtested on your history
The starting point
What we hear in the first meeting.
If none of these sound like you, we are probably not the right call yet — and we will say so.
Inspection is a backlog of imagery
Thousands of frames, reviewed by eye.
OT and IT never meet
Operational data cannot cross the boundary.
Our approach
Nothing goes near the control boundary untested.
Here a wrong answer is not a bad recommendation, it is a dispatch decision. Everything we build runs in shadow until the operators trust it.
How we work →-
Forecasts with an error bar.
Confidence stated, not a single number.
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Shadow mode first.
Weeks of parallel running before it advises.
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Respects the OT boundary.
One-way data flow, no control path back.
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Explains itself.
Weather, outage and load drivers, visible.
Proof
How we have solved it in Energy & Utilities.
Challenge, solution, outcome. Names withheld, numbers not inflated.
Grid operator
- Challenge
- The control room overrode the load forecast most days.
- Solution
- A retrained forecast backtested on their own history, run in shadow for a quarter.
- Outcome
- Operators promoted it themselves once the error curves sat side by side.
Renewables operator
- Challenge
- Yield forecasting ignored the weather data they already paid for.
- Solution
- Site-level generation models using reanalysis and turbine telemetry.
- Outcome
- Dispatch and trading worked from one forecast, with stated error.
Distribution utility
- Challenge
- Line inspection imagery arrived faster than reviewers could look at it.
- Solution
- Automatic triage ranking frames by likely defect, with human confirmation.
- Outcome
- Reviewers worked the few hundred frames that mattered.
Teams we work with
Who we build for
Different teams, different first project. The platform underneath is the same.
Generation operators
Output forecasting and unit performance analytics.
Grid and network operators
Load forecasting, constraint and outage analysis.
Renewables and storage
Wind and solar yield forecasting, dispatch support.
Transmission and distribution
Line and substation inspection from imagery.
Control-room IT and OT
Infrastructure that passes a security review.
Regulatory reporting
Submission evidence assembled, not re-keyed.
Scope
What we deliver
Four things, in this order. Each one is useful on its own.
Data and constraint review
Two weeks with operations, OT and security.
Forecasting models
Load, generation and yield, with stated error.
Inspection triage
Drone, line and substation imagery ranked automatically.
OT-safe infrastructure
Segmented compute, one-way flow, monitored.
Engagement
How the engagement runs
No surprises about sequence, and no invoice before there is something to look at.
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Review data and boundary
What exists, and what may cross
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Backtest on history
Against your current forecast
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Run in shadow
Parallel, with no operational weight
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Advise, then operate
Promoted only once trusted
Under the hood
What it is built on.
Your existing systems stay. We add the layers that are missing and run them.
Data sources
- SCADA historian
- Weather reanalysis and forecasts
- Outage and work records
- Drone and line imagery
AI layer
- Load and generation forecasting
- Probabilistic error estimation
- Imagery defect triage
- Backtesting harness
Infrastructure
- Segmented OT-to-IT data flow
- In-country dedicated compute
- Shadow-mode deployment
- Monitored and patched
Private cloud
A boundary your OT team can sign off.
Segmented single-tenant compute with one-way data flow out of the operational network, and no control path back into it. Reviewable before anything is connected.
Explore private cloud- One-way OT data flow
- No write path to control
- In-country single tenancy
- Monitored and patched
What changes
- Backtested
- Against your own forecast history
- Shadow-first
- No dispatch advice untested
- One-way
- No control path from AI into OT
Worked examples
The write-ups behind this work.
Full situation, architecture and results on each one.
Predictive maintenance
Predicting failures on assets with no reliable network
38 Stations, one deployment
Infrastructure modernisation
Modernising an estate nobody had a complete map of
400 Hosts mapped, none by hand
Document automation
Forty thousand scanned documents a month, keyed in by hand
11 → 3 People on data entry
Free, no call required
The Energy & Utilities AI readiness checklist
The questions we work through before recommending anything — data readiness, hosting constraints, review process and the running cost at year two. Use it with any vendor, including the ones that are not us.
Get the checklist- What may cross the OT boundary
- How a forecast gets backtested fairly
- How long shadow mode runs
- Who promotes a model to advisory
Questions
Asked first, every time
Short answers. Longer ones are a conversation.
Will this touch our control systems?
No. Data flows one way, out of the OT network into a segmented environment. Nothing we build has a write path to a control system, and the architecture is designed to be reviewed by your OT security team before anything is connected.
How do you prove a forecast is better than ours?
We backtest against your historical actuals and your existing forecast over the same periods, then run live in shadow. You see both error curves side by side before anything changes in the control room.
Our historian is the only complete record. Is that enough?
Usually yes, supplemented with weather reanalysis and outage records. We assess data sufficiency in the first two weeks, and we will tell you if a forecast cannot be supported by what you hold.
Can it handle inspection imagery at the volume we generate?
Yes — triage is the point. The model ranks frames by likely defect so reviewers look at the few hundred that matter instead of the tens of thousands that do not. A person still confirms every finding.
Do you work with regulated reporting?
We build the extraction and reporting pipeline and the audit trail behind it. The submission stays yours, but the evidence for it is reconstructable.
Vocabulary
Terms worth knowing before the first call.
The words that come up most in Energy & Utilities conversations, in plain English.
Start with the forecast you override most.
Tell us which number the control room does not trust, and why.
- A reply within one working day, from an engineer rather than an account manager.
- An honest read on whether this is worth doing now, or in a year.
- No marketing list. Your details reach the solutions team and stop there.
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