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Predictive maintenance
software for critical assets.

Vibration and temperature sensors on pumps, motors, compressors and fans. When a reading crosses its limit, the right people know and the repair is planned before the breakdown.

What predictive maintenance is

Act when the data says so, not when the calendar does.

Reactive maintenance repairs after a failure. Preventive maintenance acts at fixed intervals, sometimes too early, sometimes too late. Predictive maintenance follows the real condition of the machine and acts when the data shows a change.

A bearing that starts to wear changes its vibration weeks before it fails. If someone is watching the signal, it is replaced in a planned stop, with the part on the shelf and no unplanned downtime.

See the full reactive, preventive and predictive comparison.

Condition monitoring

Read asset health. Don’t guess it.

Sensors on critical equipment send readings to PREDIKTIS continuously. Each asset gets a clear status, Normal, Warning or Critical, based on the limits you set.

  • Overview of normal, warning and critical assets with the time of the last sync
  • One card per asset with the latest reading and active alert
  • Charts and sensor analysis to compare readings over time
  • Vibration analysis to spot imbalance, misalignment and wear early
Pumps and gearboxes fitted with sensors● Pump P-02 · 2.1 mm/s · Normal
Alarms

The right alert, in the right inbox.

Set a warning value and a damage value for every sensor and choose who is notified by email. Every alarm is stored with its reference values.

  • Two levels per sensor: warning and damage
  • Notification emails configured per device
  • Alarm history per asset, by day, week, month or year, exportable
Condition monitoring in PREDIKTIS
From alarm to job

The warning becomes a planned intervention.

Because monitoring and work orders live in the same platform, a bearing alarm becomes a ticket on the asset, with a technician, planned hours, priority and the parts it needs.

  • The ticket is closed with photos and time spent
  • The cost lands on the right cost center
  • The alarm and repair history stays with the asset
Work orders in PREDIKTIS
What to monitor

The machines worth fitting with sensors.

We start with the assets whose downtime costs the most. The list is agreed together during the assessment.

01

Pumps

Pumping stations, circulation and transfer pumps. Bearing vibration and temperature.

02

Electric motors

Drives on production lines, fans and conveyors.

03

Compressors

Compressed air and cooling, where one stop blocks the whole process.

04

Gearboxes

Gears where wear shows up in vibration first.

05

Generators

Backup generators and standby motors that must start when needed.

06

Anomaly detection In development

Models that learn each machine’s normal behaviour from its own history.

FAQ

About predictive maintenance.

What is the difference between preventive and predictive maintenance?
Preventive maintenance acts at fixed intervals, for example every 2,000 hours. Predictive maintenance acts when sensor data shows that the machine’s condition is changing, so you avoid both unnecessary work and failures between services.
What do the sensors measure?
Vibration and temperature on critical equipment. Each sensor has a warning and a damage limit, against which the asset gets a Normal, Warning or Critical status.
Do you use artificial intelligence?
Today, alarms work on limits you set and on trend analysis. The anomaly detection module, which learns each machine’s normal behaviour, is in development. INFOSEC CENTER SRL was selected for the BSC AI Factory 2026 programme to support this work.
Who receives the alerts?
For each device you choose who is notified by email. The alarm can then become a ticket in the work orders module.
How do we start?
With an assessment of your critical assets, then a pilot on one site with targets agreed beforehand. After the pilot, we extend to more assets and sites.
Pilot project

Start with your
most critical machine.

A pilot on the assets that matter most, with targets agreed before we start.