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From raw data tofailure predicted

The first IIoT platform that closes the loop. Predict equipment failures, automatically trigger procurement, and eliminate unplanned downtimeโ€”all in one place.

SparkPlug Dashboard

247 sensors โ€ข 3 sites

Online
Overview
Sensors
Alerts
๐Ÿ›’Orders
๐Ÿ”ฎML PREDICTION
Bearing Failure Predicted
Pump #12 โ€ข 94% confidence โ€ข Est. 12-14 days
๐Ÿ“ˆ Vibration trending upโœ“ Auto-order queued
Temperature spike detected
1 hour ago

Compressor A brief excursion

โœ“ Auto-resolved
Pressure threshold alert
3 hours ago

HVAC Unit 3 - returned to normal

โœ“ Monitoring

The numbers don't lie

Industrial maintenance is broken. Here's the proof.

๐Ÿ’ธ
$0T

Lost to unplanned downtime annually

Siemens Global Report 2024 โ†—
๐Ÿญ
$0K

Average hourly cost of manufacturing downtime

Industry benchmark โ†—
โš ๏ธ
0%

Of manufacturers still use reactive maintenance

Despite 3.3x higher costs โ†—
๐Ÿ“ˆ
0x

ROI within 12-18 months

McKinsey research โ†—

The gap between detection and action

Your sensors work. Your alerts fire. But what happens next?

๐Ÿšซ
What you don't see

The Hidden Bottleneck

๐Ÿ“ก
Sensor detects anomaly
0 sec
๐Ÿ””
Alert fires
+1 sec
๐Ÿ˜ด
Alert sits in inbox
+2-8 hrs
๐Ÿค”
Someone sees it
+4-24 hrs
๐Ÿ“‹
Work order created
+8-48 hrs
๐Ÿ“ž
Procurement called
+24-72 hrs
๐Ÿ›’
Parts ordered
+48-168 hrs
4-7 days
Alert-to-order time
$260K/hr
Downtime costยน
โšก
What SparkPlug sees

Automated Response

๐Ÿ“ก
Sensor detects anomaly
0 sec
๐Ÿง 
ML predicts failure
+50ms
โš™๏ธ
Rule engine evaluates
+100ms
โœ…
Threshold โ†’ triggered
+150ms
๐Ÿ›’
PO created automatically
+1 sec
๐Ÿ“ง
Approver notified
+2 sec
๐Ÿšš
Parts arrive early
+1 day
< 2 seconds
Alert-to-order time
10-30x ROI
Documentedยฒ

ยน Siemens, "The True Cost of Downtime" | ยฒ Deloitte, "Predictive Maintenance and the Smart Factory"

Sync SparkPlug with Your Existing Tools

Connect to industrial protocols, B2B suppliers, and enterprise systems.

๐Ÿ“ก
๐Ÿญ
๐Ÿ“‹
๐Ÿ”ง
โš™๏ธ
๐ŸŒ

Industrial Protocols

๐Ÿ“กMQTT
๐ŸŒHTTP/REST
๐ŸญOPC-UA
๐Ÿ“ŠModbus

B2B Suppliers

โœ“McMaster-Carr
โœ“Grainger
โœ“Motion
โœ“MSC Industrial

Enterprise Systems

โœ“SAP PM
โœ“IBM Maximo
โœ“Fiix CMMS
โœ“UpKeep

Build your predictive maintenance stack

Your Intelligent Maintenance Platform

๐Ÿ“Š

Real-Time Monitoring

Connect any industrial sensor and see live data streams instantly. From vibration to temperature to pressureโ€”monitor everything that matters.

  • Support for 50+ industrial protocols (MQTT, OPC-UA, Modbus, HTTP)
  • Sub-second data ingestion with live streaming
  • Customizable dashboards and threshold alerts
  • Historical data with unlimited retention
Live Monitoring Dashboard
Live
๐Ÿ“ก
247
Sensors
๐Ÿ””
3
Alerts
๐Ÿ›’
8
Orders
โšก
99.7%
Uptime
Sensor Readings (24h)
Pump #12
Vibration
4.2 mm/s
Compressor A
Temp
72ยฐC
HVAC Unit 3
Pressure
4.1 bar
Motor B
Current
12.3 A

How it works

Four steps to automated maintenance

No six-month implementation. No consultants. Get up and running quickly.

๐Ÿ”Œ
1

Connect

Install our lightweight gateway or push data directly via API. Any protocolโ€”MQTT, HTTP, WebSocket, OPC-UA.

5-minute gateway setupNo code requiredAuto device discovery
โš™๏ธ
2

Configure

Use our visual builder to set thresholds, map sensors to parts, and define automation rules.

50+ industry templatesDrag-and-drop builderTest before deploy
๐Ÿ”—
3

Integrate

Connect your B2B commerce platform and configure approval workflows. Map parts to supplier SKUs.

One-click OAuthAuto SKU matchingApproval routing
โœ…
4

Automate

Activate your rules and let SparkPlug handle the rest. Parts get ordered automatically when thresholds trigger.

Real-time monitoringInstant alertsAuto-procurement

Works with any industry

One platform. Infinite applications.

SparkPlug adapts to your domainโ€”any sensor protocol, any supplier, any workflow. See how it looks for your industry.

CNC, Conveyors, Compressors

Monitor vibration, temperature, and current across your production floor. Auto-order bearings, belts, and filters before failures stop the line.

SparkPlug โ€” Production Floor Monitor
Live
CNC Machines
12
Conveyors
8
Compressors
4
Pumps
16
Spindle Vibration (mm/s)24h trend
24h agoThreshold: 4.5Now
Active Alerts
CNC Mill #3

Spindle vibration elevated

~12 days to threshold

Conveyor B

Belt tension dropping

Scheduled replacement

Auto-Orders
โšก
Threshold Triggered
Spindle Bearing Kit
Supplier: mcmaster.com
PO: PO-4821
Shipped
Drive Belt 48"
grainger.com
Delivered
Connected Suppliers
mcmaster.comgrainger.commotion.com
Sensors
VibrationTemperatureCurrentAcoustic

Don't see your industry?

SparkPlug connects to any sensor, any protocol, any supplier. If you can measure it, we can automate it.

Use Cases

See SparkPlug in action

Real scenarios showing how the prediction-to-procurement pipeline prevents failures and saves money.

โš™๏ธ

Predictive Bearing Replacement

Manufacturing
Saved $180K

Scenario

A CNC machine vibration sensor detects increasing amplitude at 47Hzโ€”a signature of inner race bearing wear.

SparkPlug Workflow

  1. 1Vibration pattern triggers ML anomaly detection
  2. 2SparkPlug identifies specific bearing SKU needed
  3. 3Purchase order auto-created via mcmaster.com
  4. 4Maintenance scheduled for next planned downtime
  5. 5Parts arrive 2 days before predicted failure

Outcome

Prevented $180,000 emergency repair and 12 hours of unplanned downtime.

โ„๏ธ

Cold Chain Compressor Failure Prevention

Cold Chain
Saved $45K

Scenario

Refrigeration unit compressor current draw increases 15% over baseline while cooling efficiency drops.

SparkPlug Workflow

  1. 1Current and temperature sensors detect trend
  2. 2Rules engine correlates efficiency decline
  3. 3Alert sent to facility manager via Slack
  4. 4Compressor motor and capacitor auto-ordered
  5. 5Tech dispatched with parts already on-site

Outcome

Saved $45,000 in spoiled inventory and maintained 100% uptime.

๐ŸŒก๏ธ

HVAC Filter Optimization

HVAC
Saved $8K/mo

Scenario

Building management system shows static pressure rising across air handler filter bank.

SparkPlug Workflow

  1. 1Pressure differential exceeds 80% threshold
  2. 2SparkPlug maps AHU to specific filter sizes
  3. 3Bulk filter order placed with approved supplier
  4. 4Delivery scheduled before pressure limit reached
  5. 5Energy savings from optimized airflow maintained

Outcome

Reduced energy costs 12% and eliminated emergency filter runs.

๐Ÿ’ง

Pump Station Compliance Protection

Water Treatment
Saved $37K

Scenario

Lift station pump shows increasing run time and decreasing flow rateโ€”signs of impeller wear.

SparkPlug Workflow

  1. 1Flow/runtime ratio triggers degradation alert
  2. 2Compliance documentation auto-generated
  3. 3Replacement impeller kit ordered automatically
  4. 4Work order created in CMMS with parts ETA
  5. 5Spare pump staged for quick changeover

Outcome

Maintained EPA compliance and avoided $37,000 penalty risk.

FAQs

Frequently Asked Questions

SparkPlug connects to virtually any industrial sensor through standard protocols including MQTT, HTTP/REST, WebSocket, Sparkplug B, OPC-UA, and Modbus. If your sensor can output data, we can ingest itโ€”temperature, pressure, vibration, humidity, current, flow rate, and more.

Early Access Program

Be among the first

Join our early access program and help shape the future of industrial maintenance.

Share your specific scenario and we'll show you exactly how SparkPlug can automate it.

We'll reach out within 24 hours to schedule a personalized demo.

SparkPlug
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