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SmartMaintain monitoring vessel and industrial asset health

Predictive Maintenance Platform

Know what needs attention before it becomes downtime.

SmartMaintain turns live equipment signals into ranked maintenance decisions, coordinated work, and ready-to-order parts.

Request a product walkthroughSee the fleet outcome
01 / Overview02 / Watch the film03 / Product example04 / How it works05 / Outcomes

SmartMaintain in 41 seconds

See how a warning becomes a maintenance decision.

A short introduction to the signals, decisions, and coordinated actions SmartMaintain is designed to support.

Illustrative product scenarios and interface. Actual integrations and results depend on each deployment.

Interactive product example

One screen for equipment health and intervention priority.

Select an asset to review its current risk, remaining intervention window, and sensor trend. SmartMaintain keeps maintenance teams focused on the next useful action.

Illustrative sample data — this screen is not connected to live equipment.

Selected asset

Health signal / last 12 hours

Main engine 02

High risk

Intervention window

36–48 hours

Model status

94%

Recommended action

Inspect bearing assembly and reserve replacement kit.

From signal to action

Prediction only matters when the operation can act on it.

  1. 01

    Read sensor data

    Continuously ingest vibration, temperature, pressure, and equipment history.

  2. 02

    Detect anomalies

    Identify abnormal patterns before they become critical failures.

  3. 03

    Prioritise intervention

    Rank risk by asset, operational impact, and time to failure.

  4. 04

    Trigger action

    Create maintenance tasks and procurement signals inside existing workflows.

Operational outcomes

Designed around uptime, planning confidence, and coordinated action.

Procurement

Raises purchase orders before stock runs out.

Inventory Control

Live stock levels and reorder triggers.

Finance

Maintenance cost forecasting and budget alignment.

Prioritise intervention

Rank risk by asset, operational impact, and time to failure.

Read the vessel predictive maintenance case

Plan a practical first step

Bring to the assessment

An asset list, sensor units and timestamps, operating context, maintenance records and the engineering review process.

Define the deliverables

A condition-data map, agreed alert-review rules, an inspection workflow and an evaluation plan.

Agree how it will run

The on-page screen uses sample data. Confirm live connectivity and any work-order integration separately, then evaluate alerts with engineers before automation.

We confirm the demonstrable workflow, data access, integration work and success measures during scoping. Examples illustrate an approach; they are not verified customer results.

Predictive Maintenance for Ships: Data, Decisions and DeploymentPredictive Maintenance ResourcesMaritime Business Intelligence ConsultingDiscuss this workflow

Start with the decision

Turn one operational challenge into a measurable data plan.

Tell us about your challenge. We will reply to arrange an assessment and identify a practical route to delivery.

Request a data assessment