Can you control
risks before
damage is done?

Can you control risks before damage is done?

By monitoring the condition of your machines you can spot signs of trouble early. React to anomalies well in time to get more out of the machines you've already paid for. Acting before breakdowns happen reduces unplanned downtime that costs millions every year.

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Why does predictive maintenance matter?

Reduce unplanned downtime

Prevent costly repairs and unexpected halts in production. Detect early signs of wear and tear, abnormal vibration or behaviour before failures occur.

Reduce unplanned downtime

Prevent costly repairs and unexpected halts in production. Detect early signs of wear and tear, abnormal vibration or behaviour before failures occur.

Extend asset lifetime

Get more value out of existing equipment. Monitor asset condition to reduce mechanical stress and operate assets within safe limits.

Extend asset lifetime

Get more value out of existing equipment. Monitor asset condition to reduce mechanical stress and operate assets within safe limits.

Automate maintenance

No more manual checks and fixed maintenance intervals. Trigger alerts and actions based on real asset data, and focus maintenance work when and where it’s actually needed.

Automate maintenance

No more manual checks and fixed maintenance intervals. Trigger alerts and actions based on real asset data, and focus maintenance work when and where it’s actually needed.

Centralize visibility

Create a shared real-time view for maintenance teams, operators, and management. Gather all data on machine health from multiple assets and locations to one platform.

Centralize visibility

Create a shared real-time view for maintenance teams, operators, and management. Gather all data on machine health from multiple assets and locations to one platform.

Cutting down on downtime with Conneqtive

Conneqtive is the IT and IIoT unit of CURRENTA, the operator of one of Europe’s largest chemical clusters, CHEMPARK. Conneqtive transforms vast physical infrastructures into intelligent, data-driven ecosystems.They teamed up with akenza to create a predictive maintenance solution that monitors river water pumps for vibration and temperature to spot signs of trouble well before failures happen.

Sensors are retrofitted to existing pumps to transmit data securely via LoRaWAN to the cloud.

Maintenance teams have real-time visibility into asset health.

Unplanned downtime was reduced by up to 70%.

Service life of critical assets increased by roughly 30%.

Read the story

How does it work?

Setting up predictive maintenance doesn’t need to be complex. Support both brownfield and greenfield environments. No heavy engineering required.

Connect vibration, temperature, pressure and other machine health sensors.

Ingest and centralize data from assets across sites to akenza.

Visualize trends, compare behavior over time, or forward data to existing systems.

Use the Rule Engine to define rules and set alerts based on operational thresholds, value ranges and lifecycle parameters.

Features and services that suit your site

Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.
Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.
Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.
Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.

Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.

Custom thresholds
Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.
Custom rules
Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.
Cloud connectors
Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.

Custom thresholds

Define visual thresholds directly in your dashboard. Get an immediate visual cue of widget color change when a value enters the “pre-failure” zone. Avoid full system shutdown with reactive maintenance.

Custom rules

Use the akenza Rule Engine to define custom thresholds, operating ranges, and lifecycle parameters for machines and components. Combine e.g. vibration and temperature data to detect hazards. Trigger alerts and actions automatically when values drift outside expected behavior.

Cloud connectors

Data Flows allow you to pipe real-time sensor data directly into platforms like Azure IoT Hub, Google BigQuery, or Power BI. Send IoT data to ML models or BI tools for deeper analysis.