Built for utilities
We help utilities see, predict and control their infrastructure in real-time.
Noethon is a dashboard-based operations product for electricity, water and gas teams. It combines live telemetry, asset context, alerts and field workflows into one workspace so operators can act earlier and with less manual triage.
Demand spike predicted at 18:30 in feeder cluster B7.
Designed around AMI, SCADA, GIS, OMS and field operations instead of generic enterprise language.
Start with one district, feeder cluster or gas corridor before expanding to wider rollout.
Validate alerts, workflow impact and savings on historical or shadow-mode utility data.
Products
Three products. One operational logic.
Noethon is organized as focused products, not generic infrastructure language. Each module maps to a measurable utility problem.
Predict feeder stress before service quality drops.
Give electricity operations teams one view for load anomalies, outage risk, event queues and field priorities.
- Feeder and transformer anomaly scoring
- Demand spike forecasting from live and historical signals
- Priority queues for operator and field teams
Detect leak patterns earlier and reduce non-revenue water loss.
Combine district flow, pressure drift and meter anomalies into a practical leak detection workspace.
- District metering and pressure anomaly detection
- Leak-risk queues for field inspection teams
- Consumption pattern review before failure escalates
Watch pressure, demand and incident response in one view.
Track pressure deviations, abnormal demand behavior and response workflows without jumping between systems.
- Pressure deviation and abnormal demand alerts
- Incident prioritization with field follow-through
- Shared operational context for safety response
Use Cases
Problems utilities already pay to solve.
The buying story is direct: identify the risk earlier, route the right action faster and lower the cost of each event.
Detect leaks before failure
Score night-flow drift, pressure changes and meter irregularities before crews are dispatched blindly.
Predict demand spikes
Forecast feeder load stress before service quality drops, then push the event into one operator queue.
Catch pressure drift earlier
Monitor corridor behavior, abnormal demand and shutoff risk without switching between separate systems.
Reduce operational costs by up to 18%
In pilot simulations, tighter triage and fewer unnecessary truck rolls translate into lower per-event cost.
How It Works
Connect the data you already have, then turn it into one decision layer.
Modern B2B utility software should say exactly what it does: read signals, score risk and route action.
Ingest utility signals
Read telemetry, alarms, meter events, asset context and work queues from systems utilities already operate.
Score risk and predict events
Use rules and simulation models to rank leak risk, pressure drift, load spikes and response priorities.
Route the right action
Push one prioritized queue to operators and field teams so decisions happen faster and with less manual coordination.
Pilot
Built to prove value in a narrow pilot before scaling.
Utilities do not buy vague future language. They buy a clear product, a visible dashboard and measurable pilot outcomes.
Start with one utility problem, not a full platform rollout.
- Leak lead time before field failure
- Demand spike warning horizon
- Truck roll reduction and cost per event
- Alert-to-dispatch time
No invented case studies. Start with pilot projects, data simulations and a narrow scope that buyers can inspect.
Contact
Request a product walkthrough or a pilot plan.
If you run electricity, water or gas operations and want to evaluate a real use case, we should start with one district, one dashboard and one measurable outcome.
Write to us for a live product walkthrough, pilot scope definition or integration discussion.
info@noethon.com