Reduce unplanned downtime and cut costs with Airlinq’s IoT Connectivity Management Platform (CMP) for predictive industrial maintenance.

Pain Point: Manual Maintenance Schedules Drive Downtime and Cost

Maintenance is often scheduled in industrial environments based on fixed timelines rather than real-world equipment usage or conditional needs. This reactive approach leads to:

• Unexpected mechanical failures and production halts
• Over-maintenance of healthy machines and under-maintenance of failing ones
• Higher operational costs and reduced asset life cycles
• Missed opportunities to optimize performance based on real-time equipment data

Without access to granular, nuanced, sensor-driven insights, operators can’t proactively detect issues or adapt servicing based on actual machine behavior. This leads to operational inefficiencies and operator frustration.

Solution: Airlinq’s CMP Powers Predictive Maintenance

Airlinq’s CMP enables predictive maintenance by collecting real-time telemetry from machines and transmitting it to analytics platforms or AI engines. Using a connectivity management platform, manufacturers and industrial operators can expect to gain efficiencies by:

• Continuously monitor equipment performance using onboard sensors
• Trigger usage-based alerting when predefined thresholds are exceeded
• Integrate seamlessly with AI systems to predict failures before they occur
• Automate maintenance workflows based on actual operating conditions, not just on a schedule.

CMPs make deploying telemetry-driven insights easily across diverse machinery types, locations, and sizes without custom hardware or carrier lock-in.

Key Benefits of Predictive Maintenance with a CMP

Usage-Based Alerting Reduces Risk

• Track real-time metrics such as temperature, vibration, run-time hours, and pressure
• Set device-specific or group-based thresholds for automated alerts
• Respond to abnormal behavior immediately before breakdowns occur.

CMPs put actionable intelligence in your hands, so maintenance is based on need, not guesswork. This isn’t a maintenance subscription but a proactive monitoring subscription that helps mitigate maintenance needs. 

Device Telemetry Integration

• Supports integration with standard industrial sensors and connected modules
• Aggregates telemetry data into a unified dashboard for real-time analysis
• Compatible with both legacy machines and newer smart devices

Whether your machines are five years old or brand new, a CMP delivers telemetry that enables smarter maintenance decisions. With telemetry’s data and insights, your best people become more available to perform higher-value tasks.

AI-Ready API Access

• Open APIs allow seamless handoff of sensor data to third-party analytics or AI platforms.
• Supports integration with predictive maintenance engines such as AWS IoT, Azure IoT Hub, or custom ML models
• Enables centralized tracking, visualization, and root cause analysis across facilities

Airlinq’s IoT Connectivity Management Platform is built to connect with your existing infrastructure and scale with your analytics strategy. It’s a technology-agnostic approach that helps enterprise-level businesses go to market faster and address problems before they occur.

Real-World Applications

Manufacturers using CMPs for predictive maintenance have seen:

• 70% reduction in unplanned equipment failures (Source: SOMA)
• Up to 30% savings in maintenance costs by avoiding unnecessary service (Source: Frigate.AI)
• Greater asset longevity and increased uptime (Source: Machine Metrics)
• Improved safety from early fault detection (Source: Machine Metrics)

Built for Industrial Enterprise Scale

CMPs are designed for wide-scale industrial deployments with:

• Centralized control across multiple sites and device types
• Dynamic SIM management with failover support
• End-to-end security, data integrity, and audit logs

With Airlinq, you get a flexible platform that grows with your production needs—no rip-and-replace required.

Getting Started with Airlinq’s Predictive Maintenance

Start small or deploy across your full production footprint. With a connectivity management platform, you can:

• Connect your existing machinery via sensor modules
• Configure alert rules and telemetry reporting
• Feed data into your preferred analytics or AI engine