IoT Condition Monitoring Software

Turn Live Equipment Data Into Smarter Maintenance Action.

Connect IoT sensors, machines, PLCs and industrial controls to DreamzCMMS. Monitor equipment condition in real time, detect threshold breaches and abnormal behavior, and automatically trigger the right inspection or work order before a small warning becomes expensive downtime.

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Vibration • Temperature • Pressure • Runtime • Humidity • Movement • Threshold Alerts • Automated Work Orders • Asset Health

Based on 200+ reviews on

  • INC 5000 2026
  • Globee Awards 2026 Gold Winner — Technology
  • capterra-shortlist-2026
  • software-advice-frontRunners-2026
  • Capterra Best Value-2025
  • G2 high performance

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Maintenance technician reviewing IoT asset condition
Live Asset ConditionCompressor 04 • Plant 1
Air Compressor 04Utility Room • Connected

LIVE

6.8 mm/sVibration
82°CTemperature
7.1 barPressure

Live Vibration Trend
Alert threshold 8.0 mm/s
6.8 mm/s

Condition InsightVibration trending upward. Continue monitoring.

IoT GatewayCONNECTED
Vibration SensorLIVE
TemperatureLIVE
PressureLIVE
Runtime MeterLIVE

IIoT + CMMS + AI

Trusted By Global Brands Across The World

From Sensor Data to Maintenance

One connected workflow from equipment condition to completed work.

DreamzCMMS combines condition monitoring with CMMS execution, so sensor alerts do not end in another dashboard.

1
ASSET

Identify Critical Assets

Prioritize equipment where failure or downtime has the biggest operational impact.

2
DATA

Choose Parameters

Track vibration, temperature, pressure, humidity, movement, runtime and other relevant signals.

3
IOT

Connect Sensors

Pair connected sensors, devices or industrial-control data with the correct asset.

4
RULE

Set Conditions

Define thresholds, monitoring intervals and the rules that determine when action is required.

5
WO

Trigger Maintenance

Create alerts, inspections or maintenance work orders automatically when conditions are met.

Why Condition-Based Maintenance

Maintain equipment when condition says it needs attention.

Reduce manual checks and unnecessary maintenance while giving your team faster visibility into changing asset health.

Reduce Unplanned DowntimeCatch deteriorating conditions before they become production-stopping failures.
Fewer Manual InspectionsUse live readings to reduce routine walkarounds and repeated meter checks.
Better Asset UtilizationUnderstand real equipment condition instead of relying only on calendar assumptions.
Lower Maintenance CostPrioritize work using actual condition and avoid maintenance that is not yet required.

Industry Recognition

Award winning CMMS software

Recognition from software review platforms for value, ease of use, functionality and customer support.

capterra-shortlist-2026
software-advice-frontRunners-2026
Capterra Best Value-2025
Getapp Best Function Feature-2025
Capterra Best ease of use-2025
Softwareadvice Best Customer Support-2025
G2 high performance

Sensors & Condition Parameters

Monitor the signals that reveal how equipment is really performing.

Different assets fail in different ways. DreamzCMMS can use the condition parameters that matter for your equipment and maintenance strategy.

VIB

VibrationDetect imbalance, bearing wear, looseness and mechanical changes.

TEMP

TemperatureTrack overheating, cooling issues and abnormal thermal behavior.

PRES

PressureMonitor pumps, compressors, hydraulic and pneumatic systems.

RUN

Runtime & MetersTrigger service based on actual usage rather than calendar intervals alone.

HUM

HumidityMonitor environmental conditions for facilities, storage and sensitive equipment.

MOVE

Movement & Other InputsUse movement, current, acoustic or other available equipment signals.

Veda AI + IoT Condition Data

Ask what changed, which assets are at risk, and what should happen next.

Bring real-time readings together with work orders and maintenance history. Veda can help maintenance teams find the equipment that needs attention and move directly from insight to action.

DetectSurface threshold events and unusual condition trends.
ExplainReview condition signals with asset and maintenance history.
ActCreate or prioritize inspections and maintenance work.

Ask Veda

“Which assets exceeded vibration thresholds today?”
“Show temperature trends for Compressor 04.”
“Which equipment has repeated sensor alerts this month?”
“Create an inspection for assets with critical readings.”

See IoT Condition Monitoring With Your Equipment

Show us your machines, sensors or industrial-control data and we can walk through how the maintenance workflow would work in DreamzCMMS.

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Real-Time Asset Health Monitoring

See live condition readings in the same place as the asset.

Group sensor data by equipment so technicians do not have to jump between a monitoring platform and the CMMS to understand what is happening.

✓Live sensor values by asset
✓Warning and critical thresholds
✓Condition and event history
✓Asset maintenance context
✓Multi-site equipment visibility
✓Reliability and downtime reporting

6.8 mm/sVibration • Warning
82°CTemperature • Rising
7.1 barPressure • Normal
4,128 hRuntime • Tracked

Compressor 04Warning
Packaging Motor 03Normal
Chiller Unit 02Normal
Pump 08Critical

Automated Alerts & Work Orders

Bridge the gap between a sensor alert and the maintenance response.

When a configured condition is reached, automatically route the event into your maintenance workflow instead of leaving someone to watch dashboards and manually create work.

✓Threshold-based triggers
✓Automatic work-order creation
✓Priority and escalation rules
✓Technician notifications
✓Inspection and repair workflows
✓Event-to-resolution history

Sensor Reading

→

Condition Rule

→

Work Order

WO-2184 • Inspect Compressor BearingTriggered automatically • Vibration exceeded configured threshold • Priority: High
Assigned to Reliability TeamAsset history, current reading and technician checklist attached to the work order.

Already Have Sensors or SCADA Data?

Connect the data you already collect with maintenance actions inside DreamzCMMS.

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Industrial IoT Integrations

Connect sensors, controls, gateways and enterprise systems.

DreamzCMMS can sit between equipment condition data and the maintenance processes your teams already use.

Integrations

  • SAP
  • Sage Intacct
  • Stripe
  • Zebra
  • CIMCON
  • Oracle NetSuite
  • Intuit QuickBooks
  • Propelr
  • Microsoft Dynamics 365
  • Xero
  • Razorpay
  • Samsara
  • Odoo
  • TallyPrime
  • RevRex
  • PhonePe
  • Chainway
  • CardConnect
  • Codat
  • Siesa
  • Unleashed
  • Shopify
  • Monnit
  • Birdeye
  • SAP
  • Oracle NetSuite
  • Microsoft Dynamics 365
  • Odoo
  • Sage Intacct
  • Intuit QuickBooks
  • Xero
  • TallyPrime
  • RevRex
  • Stripe
  • Propelr
  • Razorpay
  • PhonePe
  • CardConnect
  • Codat
  • Zebra
  • Chainway
  • CIMCON
  • Samsara
  • Monnit
  • Siesa
  • Unleashed
  • Shopify
  • Birdeye

Asset Health & Reliability Analytics

See whether condition monitoring is actually improving maintenance performance.

Use condition data together with work history and reliability metrics to understand which assets are improving, where alerts are recurring, and whether more work is being completed before failure.

✓Asset health and alert trends
✓MTBF and downtime analysis
✓Recurring sensor-event analysis
✓Condition-triggered work-order history
✓Planned vs reactive maintenance
✓Reliability reporting by asset or site

Reliability & Condition DashboardLIVE
87%Average Asset Health
418hMTBF
14Condition Alerts

Asset health trend
Reactive maintenance trend

Customer ratings & proofGet a quick view of CMMS ratings from trusted independent review platforms. publishing.
G2
Capterra
Software Advice
Up City

Where IoT Condition Monitoring Fits

Monitor the assets where early warning makes the biggest difference.

MFG

Manufacturing

Motors, pumps, compressors, conveyors, production and packaging equipment.

F&B

Food & Beverage

Refrigeration, processing, storage, temperature and utility equipment.

UTIL

Utilities

Distributed pumps, electrical assets, pressure systems and critical infrastructure.

FAC

Facilities

HVAC, chillers, boilers, water systems and other building equipment.

IoT Condition Monitoring FAQ

Common questions about IoT-based condition maintenance.

What is IoT condition monitoring software?

IoT condition monitoring software collects equipment readings such as vibration, temperature, pressure, humidity, runtime and movement, then helps teams identify when an asset is moving outside its expected operating condition.

How is condition-based maintenance different from preventive maintenance?

Preventive maintenance is commonly scheduled by time or usage. Condition-based maintenance uses actual equipment readings and configured operating limits to determine when maintenance attention is needed.

Can DreamzCMMS automatically create work orders from IoT sensor values?

Yes. DreamzCMMS supports rules containing parameters, thresholds and monitoring intervals. When received sensor values meet those conditions, the system can generate a maintenance work order automatically.

What types of equipment data can be monitored?

Common parameters include vibration, temperature, pressure, humidity, movement and runtime. Other device or industrial-control data can also be used when available through a supported integration.

Can DreamzCMMS connect sensor data with asset and maintenance history?

Yes. The goal is to keep the condition event connected to the asset and the maintenance response so teams can understand what changed, what work was done and what happened afterward.

Do we need to replace our existing sensors or industrial controls?

Not necessarily. The right approach depends on what equipment data you already have, how it can be accessed and what maintenance workflow you want to automate. DreamzCMMS can be integrated with existing systems where suitable interfaces are available.

Connect Equipment Condition Directly to Maintenance Execution.

See how DreamzCMMS can combine IoT sensors, industrial controls, threshold rules, live asset health, automated work orders and maintenance history in one workflow.

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