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OpsSense

INTELLIGENCE LAYER

Fix it in the two weeks before it fails

Vibra, Therma, and Volta sensors stream condition data into the same model as your work history. When risk rises, a work order opens — before the breakdown does.

AI recommendation

Prioritise WO-2411 · bearing risk

opssense.ai/predictive-maintenance Live
Predictive Maintenance
Open
42+3
On-time
96%+2pt
Avg age
1.8d−0.4
OrderAssetStatus
WO-2418Pump P-114In progress
WO-2417Chiller CH-02Scheduled
WO-2411AHU-7Blocked
WO-2405Line 3Closed

CAPABILITIES

What it handles for you.

Vibration analysis

OpsSense Vibra tracks vibration and temperature on rotating equipment — bearings, imbalance, and misalignment show up early.

Thermal and humidity trends

Therma sensors catch drift in HVAC, cold chain, and electrical rooms before setpoints are breached.

Energy signatures

Volta metering reveals degradation as changed power draw — often the first symptom of mechanical wear.

Anomaly detection

Models learn each asset's normal and flag deviation — no threshold tuning required to start.

Failure risk scoring

Condition data and work history combine into a per-asset risk score with the evidence attached.

Automatic work orders

Risk above threshold opens a prioritized work order with findings, suspected cause, and suggested parts.

Health trends

Watch degradation curves per asset and plan the intervention into the next planned window.

Bring your own sensors

Already instrumented? Existing sensors and SCADA historians feed the same models via MQTT, Modbus, and OPC-UA.

[ HOW IT WORKS ]

How a prediction runs

1

Sensors stream vibration, temperature, and energy data through the Edge gateway into the asset's record.

2

Models baseline each asset's normal behavior across operating conditions.

3

A deviation is detected — rising vibration on a pump bearing — and the risk score climbs.

4

The Reliability Agent opens a prioritized work order with the evidence, suspected cause, and parts suggestion.

Why teams switch

  • Convert breakdowns into planned work at a fraction of the cost
  • Deploy sensors and see first insights in days, not quarters
  • Justify every intervention with the signal that triggered it
  • Extend PM intervals on assets the data says are healthy

Built to move the numbers.

−38%
unplanned downtime in year one
10–14 d
median early warning before failure
3.9×
return on monitored critical assets

Illustrative targets — customer-validated figures pending publication.

See your operations run themselves.

A 30-minute walkthrough with an operations engineer. Your assets, your workflows, your questions.