Solution · Energy

Every asset monitored before it fails

Telemetry and predictive maintenance for transformers, generators, and distributed assets: less unplanned downtime, longer asset life, and decisions driven by field data.

0%

less corrective maintenance with predictive asset monitoring (industry benchmark)

The challenge

When an asset fails without warning, the cost has already arrived

Without telemetry and without an early sign of wear, maintenance becomes an emergency and the fleet's useful life shrinks. The gaps we see most:

Corrective maintenance is expensive and reactive

Replacing a part only after the equipment stops costs a fortune and always arrives late. Without an early signal of wear, every intervention becomes an unplanned emergency.

Distributed assets with no visibility

Transformers, generators, and substations spread across the territory without telemetry become blind spots. The crew learns of the problem only once it's already an incident.

Unexpected equipment failure

A transformer or generator that stops without warning takes down supply, triggers regulatory penalties, and compromises the life of the next asset in the chain.

No field data to decide with

Without history on temperature, vibration, and load, the decision to keep, repair, or replace becomes guesswork. The data that separates a healthy asset from a failing one is missing.

How we implement

From the field sensor to the health of every asset

An IoT architecture built for the energy sector, turning field telemetry into planned maintenance and assets that last longer.

Asset sensors and telemetry

We instrument transformers, generators, and substations with temperature, vibration, and load sensors, with telemetry over MQTT arriving in real time. That's the ability to see every asset in the field, even the most remote ones.

Predictive maintenance

Models analyze each piece of equipment's operating pattern and anticipate wear before the breakdown. It becomes feasible to swap emergency corrective work for planned intervention, at the right moment, while the asset is still healthy.

Distributed asset management

A living inventory of every asset, with location, history, and health status consolidated in one place. The operation starts prioritizing crews and resources by real criticality, not by ticket order.

Asset health dashboard

A digital twin with health indicators, anomaly alerts, and a risk ranking per piece of equipment. Management sees where to act first and projects each asset's useful life based on field data.

Technologies

Technologies & partners

IoT
MQTT
Python
Time-series DB
Node.js
AWS
IoT
MQTT
Python
Time-series DB
Node.js
AWS

Common questions about IoT for assets

Let's put your assets under predictive monitoring

Bring your fleet of transformers, generators, and substations. You'll leave the conversation with a clear technical path, from the field sensor to the asset health dashboard.