Development phase

PredictiveMaintenance toolsMaintenance tools

Smart tools that monitor equipment and predict when maintenance is needed to prevent downtime.

Purpose & value

We build predictive maintenance tools that use real-time data to prevent unexpected equipment failure. By monitoring usage, condition or performance, you can fix issues before they become problems—reducing downtime and saving costs.

When to use

You want smart alerts based on actual usage or sensor data
You operate machinery or high-value assets
Your current maintenance approach is reactive or manual
You want smart alerts based on actual usage or sensor data
You operate machinery or high-value assets

Our process


01Define which equipment to monitor and the key thresholds

02Connect sensors, logs or existing telemetry systems

03Build dashboards and alert logic for real-time insights

04Enable tracking, reporting and historical logs

05Sync with your operations or maintenance calendar
Case study visual

Who’s involved

Project managerDevelopersClient engineering teamData team

Deliverables

Maintenance dashboard and smart alert systemLogging and reporting toolsForecast visualizations to support planning

Case study

We helped a manufacturing plant reduce machine downtime by 48% by building a predictive maintenance system that monitored usage levels and sent early alerts. The tool supported proactive scheduling and improved coordination between maintenance and operations teams.


The service pack

Frontend Development

Fast, intuitive interfaces across devices and browsers.

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Cloud Hosting & Deployment

Reliable, scalable hosting on AWS, GCP, or Azure.

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Third-party API Integration

Connect your system with other platforms and services.

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