Operational data systems
The layer that stores and serves the condition history behind every target above.
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Critical Infrastructure
The site went blind when the connection dropped
We build monitoring and automation that run on-prem at your sites, offline-capable, with your control room in charge.
Remote sites and connectivity stay on this page. If your worry is the plan, the penalty and the market, start here: Energy →
Decades-old equipment fails in ways spreadsheets don't predict.
Asset managerPipelines and pumping stations sit far from reliable connectivity. Cloud-first tooling goes blind.
Field engineerSite visits miss the degradation between them, and the riskiest assets are farthest away.
Inspection leadRunning critical operations on rented dashboards means visibility ends where a vendor's API does.
Head of operations
What changes first
The remote asset stops being a blind spot
Condition is captured at the site and ranked, so degradation is visible before a visit.
Losing the link stops losing the data
The site keeps monitoring and logging while offline, then syncs when the link returns.
Alarms carry a verdict
Each anomaly ends with a named engineer's decision recorded against it: real, deferred or false.
Where the work leaks, and what we build
Ageing assets
Decades-old equipment fails in unpredicted ways
Models over your sensor data (vibration, temperature, current draw) that flag degradation before it becomes an outage. Trained on your assets, run on your hardware.
Your engineer accepts, defers or marks each anomaly false.
Alarms
The alarm that mattered arrived buried
Agents that watch telemetry, correlate alarms, and draft incident summaries for your control-room staff, who stay in charge of every action.
The control room decides. The agent drafts; it never clears.
Remote sites
Remote sites go blind when the connection does
Inference runs at the site. Local operation is the default, and the site syncs when connectivity allows.
You set what syncs and when. Local operation is the default.
Inspection
The riskiest assets are the hardest to reach
Defect detection over camera and drone imagery for lines, pipes, and structures, a supporting capability inside the monitoring systems we build.
An inspector confirms every detection before any work is raised.
A week with the system
- Monday
- A pump at the far end draws more current than last month.
- Tuesday
- The link to that site is down. The site keeps monitoring and syncs later.
- Wednesday
- A cluster of alarms on one feeder is correlated into a single drafted summary.
- Thursday
- An inspection image shows a defect nobody was due to visit for weeks.
- Friday
- The site report writes itself, and every alert carries the engineer's verdict.
Illustrative example. Nothing here is a measured result.
What we would watch with you
| What we watch | How it is measured | Baseline |
|---|---|---|
| Unplanned outage hours per asset per period | Automatic state capture, not operator recollection. | Estimated from paper today. The first honest figure looks worse. |
| Alert precision | Anomalies an engineer confirmed as real, against anomalies raised. | Typically unmeasured, and it is the target that decides adoption. |
| Time from anomaly to a recorded decision | The anomaly timestamp against a named engineer's decision. | Invisible today, because decisions are not recorded anywhere. |
| Share of work raised from condition evidence | The work-order origin field, enforced as a mandatory entry. | Often entirely calendar-or-breakdown, because nothing carries the evidence across. |
| Continuity under connectivity loss | Hours of offline site operation with monitoring intact. | Asserted in a datasheet and never actually measured. |
Questions operators ask
Can monitoring keep working when connectivity drops?
Yes. That is the design constraint we start from. Inference runs locally at the site; data syncs when links return. Operations continue offline.
How does predictive maintenance work in practice?
It depends on your assets. Accuracy is measured on them, not quoted from a brochure. We model your sensor history, flag degradation ahead of failure, and wire alerts into the workflow your team already uses.
Do we own the system, or rent it?
You are the owner. Software, models and configuration are delivered into your environment with documentation and handover. Support contracts are optional.
Infrastructure
Walk us through your sites.
Connectivity, asset age, failure history. We will scope what is worth automating and tell you plainly what is not.
Book a discovery call