CloudDash Predictive Maintenance Cloud Dashboard Software

AI-driven insights, smart sensors, and expert guidance to keep your critical assets running at peak performance.

Dashboard interface showing machine status donut chart, top 5 machine issues bar graph, machine health line graph, repair schedules, and recent notifications for Belt Motor at Site 01.

Key Metrics

Monitoring Uptime

24/7

Continuous machine monitoring and alert system

Amount of sensors up at a time

999+

Synchronised Sensors

AI-Driven Insights

Cloud Dashboard

Real-Time Sensor Streaming

CloudDash ingests vibration, ultrasonic, temperature, and electrical readings instantly, displaying continuous machine behaviour with no delay. Users gain a live window into equipment performance, enabling fast reactions to abnormal patterns as they occur.

Instant Anomaly Alerts

The system detects sudden deviations in sensor data and sends immediate alerts to operators. These notifications highlight abnormal spikes, noise bursts, or temperature jumps, ensuring issues are seen and addressed the moment they emerge.

Facility-Level Segmentation

CloudDash organizes machines by area, floor, or full facility, giving teams a clear, structured view of where issues arise. This segmentation simplifies monitoring large sites, enabling quick identification of problem zones and targeted on-site response.

Custom Monitoring Dashboards

Teams create dashboards tailored to their machines, choosing specific sensors, thresholds, and visual layouts. This flexibility ensures operators see only the most important live metrics, reducing noise and improving response efficiency.

Key Features
Comment section showing notes on motor belt replacements and detections, and machine inspection with dates and times.
User interface showing expandable menus for Vibration Graph and Temperature Graph, with an expanded Ultrasonic Graph displaying orange waveform data labeled in mm/s over seconds.
User interface menu listing machine sites with 'Site 02 - FU2' highlighted in white and red glow.
Dashboard statistics showing 2 repairs scheduled, an increase of 2 from last month, with sections indicating repair and awaiting repair counts.
AI Analysis notification indicating turbine blade fracture detected at 9:21 am.

Made for large teams and multiple locations

Dashboard list for Machines at Site 01 showing Machine 001 with status indicators for belt motor, misalignment fan, and activities including replacement belt ordered, issue resolved, inspection and installation updates timestamped 5 minutes ago.

Ready to transform your asset reliability?