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Industrial Equipment Monitor

by Losant

An application template for OEMs pairs edge agents on legacy PLCs with multi-tenant dashboards, streaming vibration, temperature and voltage telemetry from generators and pumps to customers.

Losant
Industry
Industrial & ManufacturingManufacturing
Use cases
Condition MonitoringPredictive Maintenance
Connectivity
BLELoRaWANLTE-MNB-IoT
Deployment
Public SaaSOn-PremisesEdge/Local
Services
Consulting/DevelopmentManaged Service
Available in
United States
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The solution

How Industrial Equipment Monitor addresses it

Industrial Equipment Monitor collects equipment condition and operating-state readings across factories and production lines and sends the readings to a cloud or on-premises application. Dashboards and configurable rules show condition trends and early fault indicators, retaining history by site, zone, or asset. This gives operations, maintenance, and reliability teams the context to plan maintenance before failure, helping them reduce unplanned downtime and unnecessary service and document the response.

What it is

Industrial Equipment Monitor is a condition monitoring, predictive maintenance solution by Losant, delivered as Public SaaS / On-Premises / Edge/Local, serving Industrial & Manufacturing.

How it works

Sensors, meters, tags, or controllers are installed at the relevant points across factories and production lines to capture equipment condition and operating-state readings. Readings move over BLE, LoRaWAN, LTE-M, and NB-IoT to a cloud or on-premises application, with a gateway or edge service added where required. The application organizes condition trends and early fault indicators by site, zone, or asset and keeps a history for comparison. When a rule identifies an exception, an alert gives the responsible team the context to plan maintenance before failure. Deployment can start with one area or asset group and extend to additional sites using the same monitoring and response workflow.

ConnectBLE, LoRaWAN, LTE-M, NB-IoT
AnalyzePublic SaaS / On-Premises / Edge/Local platform
ActConsulting/Development, Managed Service

Vendor documentation: link 1 · link 2 · link 3 · link 4 · vendor website

Evidence level: L4 · Verified outcomes: how evidence levels work

Why teams choose it

Condition-based service: Monitor actual conditions instead of fixed maintenance schedules

Less downtime: Early anomaly detection reduces repair costs and outages

Customer visibility: Branded multi-tenant dashboards give end-users insight and support recurring revenue services

Efficient field ops: Technicians get real-time insights before dispatch

Edge Compute Integration

Interfaces with legacy PLCs and controllers using edge agents to gather live telemetry

Multi-Tenant Application Template

Provides a starter template for OEMs to deploy tree-structured, customer-specific monitoring environments

Telemetry Visualization

Live and historical dashboards display trends like voltage, temperature, status, and diagnostics

Fault & Maintenance Alerts

Automates detection and notification of anomalies requiring attention or maintenance

Low-Code Workflow Engine

Enables the creation of logic and alert rules visually, while supporting fleet management and UI customization

Flexible Deployment

Runs as a cloud or on-premises application to match IT requirements

Documented deployments

Customer-confirmed$20,000 prior annual tool-loss cost

Connected tool tracking prevents tens of 1,000s in replacement cost

C&D Mechanical replaced manual inventory gaps with real-time equipment visibility

Mechanical contractor · North America: United States · Contractor tool and equipment fleet
Read the case →
Vendor-reportedReported remote water-main visibility and control

Clark Construction gains real-time remote monitoring and control of water mains

Clark Construction connected a flowmeter, pressure sensor, and control valve on job-site water mains to Losant's Enterprise IoT Platform.

US construction services company (~$4B+ annual revenue) · United States · Deployment scale not disclosed in the cited source
Read the case →

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