Development phase

PredictiveMaintenance 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

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

Creating fast, user-friendly web interfaces using frameworks like React, Vue.js or Flutter Web—optimized for performance, accessibility and seamless API integration.

See what's inside