Predict mechatronic equipment failures up to 30 days in advance. Nylastra FargoSUP combines edge vibration, acoustic, and thermal telemetry with two-stage machine learning to eliminate office downtime across HVAC, elevators, and server power stacks.
Benchmarked on 3,008 multi-building operational IoT records across 18 continuous features to deliver reliable early failure prevention.
Office equipment fails rarely (7.3% baseline rate). Our cost-sensitive loss trees overcome class imbalance to catch early micro-vibration harmonics and thermal drift without false-alarm fatigue.
Calculates optimal maintenance intervals in days, predicts system uptime percentage, and detects energy efficiency decay before thermal impedance inflates commercial utility bills.
Zero rip-and-replace. Magnetic non-invasive vibration pucks, current clamp transducers (CTs), and BACnet/IP gateways integrate with Trane, Daikin, Otis, and Schneider equipment in minutes.
Estimate direct operational capital saved by preventing catastrophic breakdown events and reclaiming HVAC energy efficiency.
Based on an 88% reduction in unplanned mechatronic breakdowns and 8.4% HVAC energy recovery.
Start with a single building pilot or deploy predictive intelligence portfolio-wide across national properties.
Connect with our Mechatronics engineering team to receive sandbox access or schedule an on-site BACnet sensor survey.