Noethon logo Request a Demo

Built for utilities

Grid Intelligence Water Intelligence Gas Intelligence

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.

AMI, SCADA, GIS, OMS inputs Operator and field workflows Pilot-ready simulations
Noethon Live Workspace Istanbul North Utility Zone
Simulation mode
Grid Water Gas
Demand forecast next 6h

Demand spike predicted at 18:30 in feeder cluster B7.

Leak lead time +36h
Demand visibility 24h ahead
Action queue 1 workspace
Built for utilities

Designed around AMI, SCADA, GIS, OMS and field operations instead of generic enterprise language.

Pilot projects

Start with one district, feeder cluster or gas corridor before expanding to wider rollout.

Data simulations

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.

Grid Intelligence

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
Best fit DSOs, outage rooms, meter operations
Water Intelligence

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
Best fit Water utilities, leak teams, NRW programs
Gas Intelligence

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
Best fit Gas operations, safety teams, service control

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.

Water

Detect leaks before failure

Score night-flow drift, pressure changes and meter irregularities before crews are dispatched blindly.

Key outcome Earlier inspection queues and lower non-revenue water exposure
Grid

Predict demand spikes

Forecast feeder load stress before service quality drops, then push the event into one operator queue.

Key outcome Earlier balancing decisions and fewer manual escalations
Gas

Catch pressure drift earlier

Monitor corridor behavior, abnormal demand and shutoff risk without switching between separate systems.

Key outcome Faster response planning for gas events
Cross-utility

Reduce operational costs by up to 18%

In pilot simulations, tighter triage and fewer unnecessary truck rolls translate into lower per-event cost.

Key outcome Measured against dispatch volume, lead time and cost per event

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.

01

Ingest utility signals

Read telemetry, alarms, meter events, asset context and work queues from systems utilities already operate.

02

Score risk and predict events

Use rules and simulation models to rank leak risk, pressure drift, load spikes and response priorities.

03

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.

90-day pilot structure

Start with one utility problem, not a full platform rollout.

Weeks 1-2 Historical data and workflow mapping
Weeks 3-6 Alert models, dashboard setup and operator review
Weeks 7-12 Shadow mode or live pilot measurement against baseline KPIs
What we measure
  • Leak lead time before field failure
  • Demand spike warning horizon
  • Truck roll reduction and cost per event
  • Alert-to-dispatch time
Trust signals
Built for utilities Pilot projects Data simulations

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