Integrates either with existing infrastructure (sensors / BMS) or install proprietary IoT hardware to collect asset performance data and critical operational parameters like leaks, fuel level etc. for continuous monitoring.
Integrates either with existing infrastructure (sensors / BMS) or install proprietary IoT hardware to collect asset performance data and critical operational parameters like leaks, fuel level etc. for continuous monitoring.
Embedded asset performance analytics along with visualized Maintenance and Fault history data ensures technicians to be agile and detect faults and perform diagnosis immediately.
Our Machine Learning Algorithms continuously search for signs of inefficient conditions like spikes, short cycling and other fault signatures to predict condition based maintenance requirements that helps avoid breakdown.
Enable preventive maintenance which is based on asset utility compared to periodical maintenance. Helps reduce maintenance labour costs and improve asset uptime.
Specialized asset specific algorithms track functionality and performance to recommend optimized configurations and low or no cost corrective actions that can extend asset life and save energy. Also alerts off-schedule operations in real-time to help take action that minimizes energy wastage.
30% Savings on maintenance and repair costs
Up to 25% cut in energy bills
Reduced downtime’s, improved asset utilization
Contact our team if you have any further questions. We are here to help you out!
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