KenIoT turns data from connected sensors and equipment into useful operational insights. Monitor equipment health, detect unusual behaviour and identify potential failures before they lead to unexpected downtime.
Whether you manage a factory, railway system, fleet or agricultural operation, KenIoT helps you understand what's happening across your connected assets and make better-informed maintenance decisions.
AI-powered IoT monitoring, sensor analytics and predictive maintenance for industrial operations.
Plant 1 · Line 2 · Motor M-14LiveMotor M-14 bearing vibration is rising. Work order WO-1042 created.
Simulated sensor data
Vibration, temperature and power readings from motors and pumps show up as trends before they become breakdowns.
Feeder 1 · 71 °CFeeder 2 · WatchMachines rarely go from working perfectly to failing without any warning signs. Changes in temperature, vibration, pressure or power consumption can indicate that something isn't operating as expected.
But when sensor data is spread across different systems, identifying these changes and understanding what they mean can be difficult.
KenIoT brings sensor intelligence together to help your team spot unusual patterns and investigate potential problems earlier.
KenIoT combines IoT connectivity, AI-powered sensor analytics and predictive maintenance capabilities to help you understand the condition of your equipment and infrastructure.
12 sensors · liveKnow what's happening across your connected assets.
Collect and monitor data from compatible sensors and industrial systems. Track available readings such as temperature, vibration, pressure, humidity and power consumption to understand operating conditions as they change.
Vibration 4.2 mm/sSpot unusual behaviour before it becomes a bigger concern.
KenIoT analyses sensor readings to identify patterns that differ from expected equipment behaviour. Detect unusual changes, investigate potential issues and help your team respond before a small problem develops into a major disruption.
Panel · 71 °CMove from fixing breakdowns to planning ahead.
Use equipment data, historical patterns and anomaly detection to identify signs of potential equipment failure. Help maintenance teams prioritise inspections, plan servicing and reduce dependence on reactive repairs.
Rotor · healthyUnderstand how your assets are performing.
Monitor equipment conditions through available sensor data and asset-specific indicators. Compare current readings with expected operating patterns to help identify equipment that may need inspection or maintenance.
Alert · M-14Know when a reading needs your attention.
Configure alerts for supported anomalies, operating thresholds and equipment conditions. Help the relevant team investigate unusual readings without continuously checking every sensor dashboard.
Trend · liveUnderstand what's changing over time.
Review historical sensor readings, equipment behaviour and detected anomalies. Use trends and reports to investigate recurring issues, understand operating patterns and support maintenance planning.
KenIoT turns incoming equipment data into information your team can use.
Integrate compatible sensors, industrial equipment and existing monitoring systems. Support for specific devices and communication protocols depends on your infrastructure and deployment requirements.
KenIoT analyses available sensor readings and operating history to establish expected behaviour for monitored assets. The initial learning period and baseline quality depend on the available data and equipment conditions.
AI models compare incoming readings with expected patterns and configured conditions. When unusual behaviour is identified, the system can flag the issue for investigation.
Review alerts, investigate potential faults and use supported maintenance integrations to plan the next steps. Your team can make informed decisions about inspections, repairs and equipment servicing.
Different industries rely on different types of equipment, sensors and operating conditions. KenIoT helps teams monitor connected assets and understand changes that may affect performance.
Monitor machine temperature, vibration, pressure and other available readings. Identify unusual operating patterns and support predictive maintenance across production equipment.
More on industrial →Monitor compatible railway equipment, signalling systems and infrastructure sensors. Identify unusual readings that may require inspection and help maintenance teams prioritise potential issues.
More on smart cities →Connect compatible soil moisture, weather and irrigation sensors to understand field conditions. Use sensor insights to support irrigation planning and identify abnormal equipment or system behaviour.
More on agriculture →Monitor available vehicle health data, including engine-related readings and other connected sensor information. Identify unusual operating patterns and support proactive vehicle maintenance.
More on smart cities →Monitor connected facility systems and compatible equipment sensors. Track available environmental or operational readings and alert relevant teams when configured conditions require attention.
More on healthcare →Monitor compatible equipment and environmental sensors across connected infrastructure. Identify unusual readings and support maintenance planning for critical assets.
More on smart cities →Imagine a motor running continuously on a factory production line.
For weeks, it operates within its normal temperature and vibration ranges. Then its vibration readings begin changing, even though the machine is still running.
Without continuous monitoring, the change may go unnoticed until the motor overheats, production slows or the equipment fails.
With KenIoT, sensor data can be analysed against the motor's expected operating behaviour. An unusual pattern can trigger an alert, giving the maintenance team a reason to inspect the equipment.
The team can investigate the cause and decide whether maintenance is needed before the problem escalates.
The goal isn't to predict every breakdown perfectly. It's to identify meaningful warning signs earlier and give your team more time to act.
Illustrative example and data
Integrate compatible sensors and industrial systems instead of necessarily replacing your entire infrastructure.
Use AI-powered anomaly detection to highlight unusual equipment behaviour that may otherwise go unnoticed.
Use early warning signals to help plan inspections and maintenance before potential faults disrupt operations.
Use equipment health indicators and detected anomalies to help teams decide which assets need attention first.
Bring available sensor data, alerts and equipment information into a central monitoring view.
Review trends and past anomalies to understand recurring issues and support longer-term maintenance planning.
An IoT monitoring platform connects to compatible devices and sensors to collect, display and analyse data. It helps businesses monitor operating conditions, identify unusual readings and understand how connected equipment is performing.
KenIoT is Intelense's IoT and sensor intelligence solution. It brings together data from compatible sensors and industrial systems to support real-time monitoring, anomaly detection and predictive maintenance.
Predictive maintenance uses equipment data and condition indicators to identify signs of potential failure. It helps maintenance teams investigate problems and plan servicing based on equipment condition rather than relying only on fixed schedules or waiting for a breakdown.
AI anomaly detection learns or uses expected operating patterns and compares them with incoming sensor data. When readings deviate from those patterns, the system can flag the change for investigation. Not every anomaly indicates a fault, so alerts may require human review.
Depending on supported integrations, KenIoT can work with sensors that measure variables such as temperature, vibration, pressure, humidity, soil moisture and electrical current. The exact range depends on the devices and communication protocols supported by the deployment.
KenIoT is designed to integrate with compatible existing sensors and industrial systems. For older equipment without digital outputs, additional retrofit sensors or gateways may be required.
KenIoT can identify unusual sensor patterns that may indicate developing equipment issues. This gives teams an opportunity to investigate and plan maintenance earlier. Actual downtime reduction depends on the equipment, data quality, detection performance and maintenance response.
Maintenance tickets or work orders can be created through supported integrations and configured workflows. Availability depends on the maintenance management system and deployment setup.
KenIoT is designed to support connected asset monitoring across different operational environments. Multi-site visibility, user permissions and reporting capabilities depend on the deployed configuration.
The time required to identify an anomaly or predict a potential failure varies by equipment type, failure mode, sensor availability and historical data quality. Some abnormal readings may be identified quickly, while reliable failure prediction may require a longer learning period and sufficient operating data.
Book a demo with Intelense. Share your equipment types, existing sensors, communication protocols and maintenance challenges so the team can help you explore a suitable IoT monitoring setup.
Modules share one engine and dashboard, so they combine easily.
Uses AI video analytics on your existing CCTV to flag missing PPE, restricted-zone entry, human-vehicle risks, fire, smoke and falls.
Learn more
Turns your existing CCTV cameras into business intelligence. Track footfall, customer movement, dwell time and queues without manually reviewing footage.
Learn more
AI perception, dynamic path planning and fleet coordination that help autonomous robots work safely alongside people.
Learn moreFrom real-time sensor monitoring to AI-powered anomaly detection and predictive maintenance, KenIoT helps you turn equipment data into actionable operational insights.
Give your team a clearer view of asset health and more opportunities to address potential problems before they lead to unexpected downtime.
Tell us about your equipment, existing sensors and operational challenges. We'll help you explore how KenIoT can fit your infrastructure.
KenIoT by Intelense | Intelligence at the Edge.
