Track the performance of the equipment with a predictive maintenance strategy using IoT to detect possible defects and fix them before they fail.
Tracked the performance of more than 50+ equipment ensuring 99% machine availability.
Asset condition monitoring is a crucial part of every enterprise. It allows you to assess the performance of your industrial equipment, as well as maximize business output. Bursys helps you to check asset failure by analyzing production data to identify patterns and predict issues before the equipment fails.
Our IoT-based predictive maintenance solution monitors the real-time insights of your industrial equipment such as slow speed or breakage, alerts you with the probability of equipment failure, and allows you to schedule maintenance which reduces the future maintenance costs.
“Predictive maintenance could reduce the costs of factory equipment by up to 40%, while reducing downtime by up to 50%. As a result, these savings could amount to a staggering $630 billion per year by 2025” - McKinsey