Industries / Energy & utilities
Fix assets before they fail.
Meters, sensors and outage records across the network. Juron forecasts load and ranks the assets most likely to fail.
Book a proof sessionProblems we solve
- Forecast load, including new large customers
- Rank assets by failure risk
- Predict equipment health in process plants
How results are measured
Outages against your current plan.
Every solution is tested on recent data it never saw and compared with how you work today. You decide what to switch on.
2.1×more failing assets in the top-ranked tenth, against age-based replacement · illustrative
The app your team uses
Asset planning app
Built on frozen, tested workflows. Deployed once and shared by role. Anyone can ask Juron how a number was counted.
APPS / NORTH NETWORKLive · v2
Asset risk · transformers
Assets ranked1,240
Failures in top tenth2.1×vs age-based
Planned this quarter38
| Asset | Risk |
|---|---|
| Substation 14 · T2 1987, 40 MVA | High |
| Substation 7 · T1 1994, 25 MVA | High |
| Substation 22 · T3 2003, 40 MVA | Medium |
| Substation 3 · T1 1979, 15 MVA | Low |
Why is a 1979 unit low risk?
Juron
Age alone is a weak signal here. This unit runs at 35% load with stable oil readings; units like it failed least often in the last 10 years.
Where the data comes from
Juron works with the data energy & utilities teams already have.
No migration project. Our team connects it during the pilot.
ProblemOutages from ageing assets
Built on:→ Data → Workflows → Frozen API → App
Juron→ Asset planning app