Predictive Maintenance Software
Know before assets fail. FacilityLane combines real-time sensor monitoring with AI-powered failure prediction so you can schedule repairs before breakdowns happen — not after.
From Sensor Data to Actionable Predictions
FacilityLane turns raw machine data into clear maintenance recommendations — helping your team act at exactly the right moment.
AI Failure Prediction
Machine learning models trained on your asset history and sensor streams identify failure signatures weeks in advance, giving maintenance teams time to act.
Real-Time Condition Monitoring
Connect vibration, temperature, pressure, current, and other sensors. FacilityLane streams and analyzes readings continuously against dynamic baselines.
Remaining Useful Life Forecasting
Know how much life is left in every critical asset. FacilityLane calculates remaining useful life (RUL) estimates and updates them in real time as conditions change.
Automated Alert Generation
When anomalies are detected, FacilityLane sends targeted alerts to the right team members and can auto-create a work order so response begins immediately.
IoT & Sensor Integration
Connect to existing IoT gateways, PLCs, SCADA systems, and sensor networks via MQTT, Modbus, BACnet, and OPC-UA. No rip-and-replace required.
Maintenance Cost Analytics
Compare predicted vs. reactive maintenance costs over time. Demonstrate ROI with clear dashboards showing failures prevented and downtime avoided.
From Reactive to Predictive in Weeks
Most teams cut unplanned downtime by over 40% within the first six months of deploying FacilityLane's predictive maintenance capabilities.
- Prevent unplanned downtime by catching failures weeks early
- Reduce maintenance costs by replacing parts only when truly needed
- Extend asset lifespan through optimally timed interventions
- Eliminate unnecessary scheduled maintenance on healthy equipment
- Improve technician efficiency with prioritized, data-driven work orders
- Build a continuous learning model that gets more accurate over time
What Our Customers Say
"FacilityLane flagged a bearing degradation on our main compressor three weeks before it would have failed. Fixing it planned cost us $4,000. An unplanned breakdown would have cost ten times that."
"We connected our existing vibration sensors in a single afternoon. Within two weeks the system had built baselines and was already surfacing anomalies our team hadn't noticed."
"Our unplanned downtime dropped by 55% in the first six months. The ROI conversation with leadership is now very easy because the data is right there in the dashboard."
Predictive Maintenance FAQs
Common questions about AI-powered predictive maintenance in FacilityLane.
FacilityLane supports data ingestion via MQTT, Modbus TCP/RTU, BACnet, OPC-UA, and REST APIs. It works with vibration, temperature, pressure, current, humidity, flow, and custom analog or digital sensor inputs. Data from existing IoT gateways, PLCs, and SCADA systems can be connected without replacing hardware.
Ready to Predict Failures Before They Happen?
Start your free trial today and connect your first assets to FacilityLane's AI-powered monitoring in minutes.