Industrial IoT · Predictive Maintenance
CNC-07 · Bearing B4
40kHz · LIVE
RMS Velocity
4.27 mm/s
Fault Freq
127.4 Hz
Conveyor-03 · Motor
IR · THERMAL
Ambient
23.4 °C
⚠ Hot Spot
87.6 °C
Pump-12 · RUL
ACOUSTIC · AI
Estimated Failure In
04
days
17
hrs
32
min
44
sec
✓ Bearing Degradation Detected
Prediction Confidence94.3%
Your machines are already telling you what's about to break.
◈VIBRATION ANALYSIS
◉THERMAL IMAGING
◎ACOUSTIC EMISSION
◈94.3% PREDICTION ACCURACY
◉72-HOUR LEAD TIME
◎ISO 10816 COMPLIANT
◈SCADA INTEGRATION
◉OPC-UA · MQTT · REST
◈VIBRATION ANALYSIS
◉THERMAL IMAGING
◎ACOUSTIC EMISSION
◈94.3% PREDICTION ACCURACY
◉72-HOUR LEAD TIME
◎ISO 10816 COMPLIANT
◈SCADA INTEGRATION
◉OPC-UA · MQTT · REST

Hardware that bolts onto
anything built after 1960.

Three sensor families cover every failure mode. Each unit is self-contained, battery-backed, and communicates over LoRaWAN — no PLC modification, no IT ticket.

UV-100
Vibration Sensor
VI

Detects bearing defects, imbalance, misalignment, and looseness via FFT analysis at the edge.

Measurement Range±16g
Sampling Rate40kHz
Sensor TypeMEMS Triaxial
CommunicationLoRaWAN Class A
Battery Life5 years
IP RatingIP67
Temp Range-40°C to 85°C
MountM6 stud / Epoxy
UT-200
Thermal Sensor
TH

Monitors winding temperature, hot spots, and thermal drift patterns indicative of insulation breakdown.

Measurement Range-40°C to 200°C
Accuracy±0.5°C
Sensor TypeIR + Contact
CommunicationLoRaWAN Class A
Battery Life4 years
IP RatingIP65
Field of View90°
MountMagnetic / Stud
UA-300
Acoustic Sensor
AC

Catches cavitation, partial discharge, and lubrication starvation before vibration signatures appear.

Frequency Range20Hz – 20kHz
Dynamic Range120dB
Sensor TypeUltrasonic AE
CommunicationLoRaWAN Class B
Battery Life3 years
IP RatingIP67
DetectionCavitation, Leaks
MountClamp / Adhesive
CNC Horizontal Machining Center · Click to Place Sensor
MOTORGEARSPINDLE
Vibration2
Thermal1
Acoustic0
Download the complete Sensor Placement Guide
47-page field manual covering 120+ machine types — free PDF
Get Free Guide →

Before you read another
word — run the numbers.

How much is unplanned downtime
costing you right now?

24
1200
$3,200
$500/hr$50K/hr
6
8h
Annual Cost of Inaction
$14.7M
Based on 24 events/year × 8h avg × $3,200/hr across 24 machines
Projected Annual Savings with Uptime
$10.6M
Customers average 72% reduction in unplanned downtime within 90 days
First-Year ROI
999+%
Payback Period
1 months
Edge Processing

FFT analysis runs on-device. Raw data never leaves your floor.

Baseline Learning

14-day adaptive baseline per asset. No configuration required.

Failure Mode Library

2,400+ pre-mapped failure signatures across 180 machine types.

Maintenance Scheduling

AI-generated work orders pushed directly to your CMMS.

The system flags
before your crew notices.

Watch anomaly detection run live. Drag the threshold slider to see how sensitivity affects alert volume. Every amber spike is a real bearing degradation pattern.

Live Anomaly Detection · CNC-07
THRESHOLD 6.5 mm/s
Alert Threshold6.5 mm/s
SensitivePermissive
Prediction Accuracy
94.3%
Avg Lead Time
72 hrs
False Positive Rate
< 2.1%
Alerts / Month
~14
Step 01
Signal Deviation Detected

Edge processor flags frequency signature outside learned baseline. Timestamp and severity score generated.

Step 02
AI Confirms Failure Mode

Cloud model cross-references against 2,400+ failure patterns. Confirms bearing inner race defect at 127.4Hz BPFI.

Step 03
Maintenance Order Created

Work order pushed to SAP PM / Maximo with part number, recommended torque, and 72-hour scheduling window.

Plant managers who
ran the numbers first.

“Uptime caught a bearing failure on our line 3 conveyor 68 hours before it would have seized. We rescheduled maintenance during a planned break and saved $43,000 in lost product.”

Marcus Delgado
Plant Manager · Hartfield Foods
$43K saved
single event

“We inherited 22 pump stations with zero maintenance history. Uptime's baseline learning gave us a full health picture in 3 weeks. We've reduced emergency callouts by 71%.”

Priya Nair
Operations Director · Clearwater Utilities
71%
fewer callouts

“Our reliability engineers used to spend 30% of their week doing manual rounds. Now the sensors do it. They're focused on the 3 machines that actually need attention.”

Tom Wickfield
Reliability Engineer · Lakeside Precision
30%
time reclaimed
SA
SAP PM
CMMS
OS
OSIsoft PI
Historian
RO
Rockwell FactoryTalk
SCADA
SI
Siemens MindSphere
IIoT
IB
IBM Maximo
EAM
IN
Infor EAM
CMMS
GE
GE Predix
IIoT
PT
PTC ThingWorx
IIoT
AV
AVEVA
MES
EM
eMaint CMMS
CMMS

REST API + MQTT broker included. Custom webhook integration in 2 business days.

Live in 48 hours.
Nothing to install.

Sensors arrive pre-configured. Mount them, scan the QR code, and your first anomaly detection is running before your next shift starts.

Monitor 3 Machines Free

Sensors shipped to your facility. Live in 48 hours. No credit card, no commitment — just data.

Sensor Placement
Field Guide

47 pages. 120+ machine types. Exact mounting positions, torque specs, and cable routing for CNC lathes, conveyors, pumps, and compressors.

✓Optimal sensor placement diagrams for 120+ machine types
✓Vibration severity thresholds by ISO 10816 standard
✓Thermal imaging guidelines for motor & gearbox inspection
✓Cable routing & IP67 weatherproofing checklist
✓No credit card required
✓Sensors shipped within 24h
✓Live data in 48h
✓Cancel anytime
✓SOC 2 Type II certified
✓99.97% platform uptime SLA