Predict Machine Failures Before
They Stop Production.
Monitor machine health continuously with AI-powered insights that detect early signs of failure, predict component health, and help maintenance teams plan action before unplanned downtime occurs.
Predictive
failure prediction
Early
failure warnings
Machine
health insights
Is Your Maintenance Team Facing These Challenges?
Unplanned failures, limited machine visibility, and reactive maintenance can disrupt production, increase costs, and make maintenance planning difficult.
Turn Machine Data into Predictive Maintenance Decisions.
IOT3Sixty combines machine signals and AI analysis to identify emerging failures and support maintenance decisions before production is affected.
Everything Your Maintenance Team Needs, in One Place
Machine Health Monitoring
View machine condition using operational, vibration, acoustic and thermal signals.
Vibration & Acoustic Analysis
Identify bearing wear, misalignment and other developing mechanical issues.
Thermal Monitoring
Detect abnormal temperatures and hot spots in critical equipment and systems.
Failure Prediction
Use machine patterns to identify potential failures before unplanned downtime.
Remaining Useful Life
Estimate operating life under current machine loads for better maintenance planning.
One Continuous Path from Machine Data to Planned Maintenance
Connect Machines
Collect relevant machine operating and condition data.
Capture Signals
Monitor vibration, acoustic, temperature and machine parameters.
Analyze Conditions
AI models evaluate signals for abnormal machine behavior.
Detect Anomalies
Identify patterns associated with component degradation.
Predict Failure
Estimate when a component is likely to fail.
Estimate Remaining Life
Calculate expected operating life under current conditions.
Plan Maintenance
Schedule intervention during planned production downtime.
Prevent Breakdown
Complete maintenance before the predicted failure affects production.
Connect Machines
Collect relevant machine operating and condition data.
Capture Signals
Monitor vibration, acoustic, temperature and machine parameters.
Analyze Conditions
AI models evaluate signals for abnormal machine behavior.
Detect Anomalies
Identify patterns associated with component degradation.
Prevent Breakdown
Complete maintenance before the predicted failure affects production.
Plan Maintenance
Schedule intervention during planned production downtime.
Estimate Remaining Life
Calculate expected operating life under current conditions.
Predict Failure
Estimate when a component is likely to fail.
What Changes on the Shop Floor
Less Downtime
Identify developing machine problems before unexpected breakdowns.
Better Maintenance Planning
Schedule maintenance around planned shutdowns and production requirements.
Faster Decisions
Give maintenance teams condition-based insights instead of relying only on fixed schedules.
Better Machine Visibility
Monitor equipment health using continuous operational signals.
Improved Productivity
Keep critical equipment available for planned production activities.
Smarter Maintenance
Prioritize maintenance based on predicted failure risk and remaining useful life.
Built for Modern Manufacturing Teams
INDUSTRIES
DEPARTMENTS
USERS
Questions Maintenance Teams Ask
Prevent Downtime Before It Starts
See how IOT3Sixty can turn machine condition data into earlier warnings, better maintenance planning, and more reliable production.
