Predictive Maintenance System for Industrial Equipment & Manufacturing
A complete predictive maintenance system combining wireless sensors, real-time monitoring, and industrial predictive analytics to help factories reduce downtime and improve asset reliability.
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The Value in 3 Numbers
Real asset data, no guesswork
Verified improvements you can measure
All-inclusive condition monitoring pilot with simple terms
Deploy a Predictive Maintenance System in Your Factory in 60 Days
If you’re evaluating predictive maintenance software systems or vendors but not ready for a full-scale rollout, this pilot provides a structured way to validate real-world performance.
This predictive maintenance system for industrial equipment gives your team visibility into asset health, using wireless IoT sensors that continuously monitor vibration, ultrasound, and temperature.
Unlike basic predictive maintenance software companies or standalone dashboards, this is a fully managed predictive maintenance solution that includes:
- Predictive maintenance sensors installed on critical equipment
- Industrial predictive maintenance software and analytics
- Real-time predictive monitoring system dashboards
- Expert-led diagnostics and interpretation
- Condition-based monitoring and predictive maintenance strategy design
By the end of the program, your team will clearly understand:
- Which assets are at risk of failure
- How predictive machine maintenance reduces downtime
- Where vibration anomalies indicate early faults
- What a full predictive maintenance program would look like at scale
- ROI potential of a full predictive maintenance platform
This is a comprehensive introduction to industrial predictive maintenance solutions with no long-term commitment.
What You Get in the UpNow Pilot
60 Sensors for 60 Days
Each IP69-rated 3-in-1 sensor tracks ultrasound, vibration, and temperature.
Hands-On Installation
Our experts handle every installation, ensuring accurate placement and full functionality.
Expert Monitoring by CAT II+ Certified Analysts
Your assets are actively monitored by certified CAT II+ condition monitoring analysts who review trends, validate findings, and ensure insights are accurate, relevant and actionable.
Expert Consultative Support
Guidance from certified maintenance and reliability professionals to interpret the data and understand how it informs your predictive maintenance strategy.
Pilot Summary Report
Recommendations based on observed data, helping you make informed decisions about the next steps.
No Long-Term Commitments
Run the 60-day pilot risk-free.
What Previous Clients Are Saying About Our Wireless Condition Monitoring Sensors & Software
How Our Predictive Maintenance System Works
Discovery
Define assets, goals, and support needs
Install
1-day setup followed by hands-on training with a CAT II+ Analyst
Monitoring
60 days of structured check-ins and expert consultations
Decision
Final review with clear ROI and expansion plan.
Predictive Maintenance Sensors Built for Industrial Environments
Our predictive maintenance equipment is designed for harsh industrial environments and continuous monitoring of rotating equipment.
The MistLX is an IP69-rated, advanced data-acquisition device that integrates a high-resolution ultrasonic sensor, a vibration sensor, and a temperature sensor into a compact form factor.
Predictive Maintenance Software System & Industrial Analytics Platform
Our predictive maintenance software transforms raw sensor data into actionable intelligence through a cloud-based predictive maintenance platform.
- Automated alerts and highly accurate diagnostics
- Intuitive dashboards and sortable work orders to streamline decisions
- ISO 27001-certified to ensure your information is protected
Advanced Machine Health Monitoring Using Ultrasound, Vibration & Temperature
UpTime’s wireless machine health monitoring solution combines ultrasound, vibration, and temperature sensing in one device, enabling earlier fault detection and stronger predictive maintenance outcomes.
Ultrasound Monitoring
Ultrasound monitoring detects the earliest signs of mechanical and electrical faults, often before vibration changes occur. It helps identify:
- Early bearing defects
- Lubrication issues
- Air or gas leaks
- Electrical arcing or discharge
This allows maintenance teams to detect failures months in advance.
Vibration Monitoring
Vibration monitoring tracks how equipment moves and performs during operation, making it essential for identifying:
- Bearing failures
- Misalignment
- Imbalance
- Mechanical looseness
- Gear and motor faults
Continuous vibration monitoring helps teams identify developing problems before they cause downtime.
Temperature Monitoring
Temperature monitoring provides an additional layer of asset protection by detecting abnormal heat caused by:
- Excess friction
- Electrical faults
- Overloaded components
- Lubrication breakdown
Combined with vibration and ultrasound data, temperature monitoring helps confirm faults and improve diagnostic accuracy.
By combining ultrasound, vibration, and temperature condition monitoring. UpTime delivers earlier fault detection, more reliable diagnostics, and stronger predictive maintenance outcomes.
Predictive Maintenance FAQs
How Does UpTime’s Predictive Maintenance System Actually Work?
UpTime’s predictive maintenance system combines wireless sensors, cloud-based software, and certified analyst interpretation to continuously monitor asset health.
Unlike software- or sensor-only predictive maintenance platforms, UpTime collects real-time vibration, ultrasound, and temperature data directly from equipment and turns it into actionable maintenance recommendations through expert review and industrial predictive analytics.
This creates a complete predictive maintenance system for industrial equipment—not just dashboards or alerts.
What Makes UpTime Different From Other Predictive Maintenance Companies?
Most predictive maintenance companies in the USA focus on either software or sensors alone.
UpTime is a fully integrated predictive maintenance solution provider that includes:
- Wireless predictive maintenance sensors installed on-site
- Real-time machine vibration monitoring and condition data
- Industrial predictive maintenance software (UpCastCM)
- Certified analyst interpretation (not just automated alerts)
- A structured 60-day predictive maintenance pilot program
This combination ensures teams don’t just collect data, they actually improve maintenance decisions and uptime outcomes.
What Sensors Are Used for Predictive Maintenance in the UpTime System?
UpTime uses industrial-grade predictive maintenance sensors that combine three technologies in one device:
- Vibration sensors for predictive maintenance
- Ultrasound detection for early fault identification
- Temperature monitoring for thermal anomalies
These IoT sensors for predictive maintenance are designed for rotating equipment such as motors, pumps, compressors, and gearboxes, allowing earlier failure detection than vibration-only systems.
How Early Can UpTime Detect Equipment Failures?
UpTime’s predictive maintenance system can often detect developing issues months in advance by analyzing changes in vibration, ultrasound, and temperature patterns.
Because analysts monitor the system, subtle degradation trends are identified earlier than typical condition-based monitoring systems or automated predictive maintenance software alone.
This gives maintenance teams time to plan repairs rather than react to breakdowns.
Can UpTime’s Predictive Maintenance System Scale Across Multiple Facilities?
Yes. UpTime’s predictive maintenance system for factories is built for scalability.
The cloud-based predictive maintenance platform supports:
- Multi-site asset tracking
- Centralized industrial predictive analytics
- Scalable wireless predictive maintenance monitoring
- Consistent reporting across facilities
This makes it suitable for organizations moving from single-site pilots to enterprise-wide predictive maintenance deployment.