AI Anomaly Detection · Predictive Intelligence · Industrial IoT

Catch Every Problem
Before It Becomes One.

NTS AI watches every sensor, every data stream and every process parameter — learning your normal baseline and flagging deviations the moment they occur. Minutes of warning instead of hours of downtime.

Real-timeContinuous monitoring
Self-learningAdapts to your baseline
Early alertsMinutes before failure
Any sensorPlug into existing IoT
94%Detection accuracy
30–60 minEarlier than rule-based
80%Fewer false alarms
Motor Vibration — Bearing B4 · Live Monitoring
0 2 4 6 Normal band ⚠ ANOMALY DETECTED Score: 94.2 · Threshold: 75 08:00 09:30 11:00 Now Predicted →
Bearing B4 · Vibration 4.2× baseline
Est. time to failure: ~36 hrs
3Active anomalies
248Sensors normal
94%AI accuracy
How It Works

From Raw Data to Early Warning.

01

Ingest All Sensors

Connect vibration, temperature, pressure, current, flow, voltage and process sensors from any IIoT or SCADA system.

OPC-UAModbusMQTTREST
02
BASELINE AI

Learn Your Baseline

The AI model trains on your historical data — learning the unique normal operating patterns, seasonal cycles and process interdependencies of your equipment.

LSTMIsolation ForestAutoencoder
03
Score: 87

Score Every Reading

Every incoming reading is assigned an anomaly score in real time. Deviations from the baseline — even subtle, multi-sensor patterns — are flagged immediately.

Anomaly scoreMulti-variateReal-time
04
WA SMS App !

Alert & Escalate

Alerts are routed to the right engineer via WhatsApp, SMS and mobile app — with anomaly type, affected asset, score and recommended action attached.

WhatsAppMobile pushWork order
What We Detect

Every Anomaly Type. Every Asset Class.

Bearing Vibration

  • Frequency signature analysis
  • IMF component tracking
  • Early fatigue detection
+6.2°C

Thermal Anomalies

  • Motor & transformer hot spots
  • Process temperature drift
  • Cooling system degradation
SPIKE

Current & Power Spikes

  • Motor current imbalance
  • Power factor anomaly
  • Load variation spikes
↑ 12%

Pressure Deviation

  • Pump & compressor anomalies
  • Leakage early detection
  • Hydraulic system drift

Motor & Drive Faults

  • Torque & speed irregularity
  • Drive current signature
  • Winding insulation trends

Flow & Level Anomalies

  • Tank level unexpected changes
  • Pipe flow rate deviation
  • Leak proxy detection
!

Process Parameter Drift

  • Setpoint deviation tracking
  • Gradual efficiency degradation
  • PLC output correlation
COP DROP

Energy Efficiency Anomalies

  • HVAC COP degradation
  • Specific energy consumption rise
  • Peak load anomaly pattern
!

Rotating Equipment

  • Pump cavitation signatures
  • Compressor surge detection
  • Gear mesh frequency shift

Multivariate Detection — Not Just Single Thresholds

Simple threshold alerts miss gradual failures and generate false alarms when one sensor spikes. NTS AI monitors the relationships between hundreds of sensors simultaneously — catching subtle multi-variable pattern shifts that no threshold rule could detect.

  • Correlates vibration + temperature + current together
  • Detects gradual drift — not just hard threshold crossings
  • 80% fewer false alarms vs threshold-based rules
  • Works on intermittent operating conditions
Threshold vs AI Detection Comparison
Threshold RulesNTS AI
False alarms High 80% fewer
Warning lead time 0–5 min 30–60 min
Multi-sensor No Yes — 100s
Gradual drift Misses it Detects it
Self-improving Manual tuning Auto-learns

Root Cause & Time-to-Failure Estimation

When an anomaly is detected, the AI doesn't just alert — it explains. Root cause analysis identifies which sensor pattern is driving the anomaly and time-to-failure estimation gives your maintenance team a planning window to act before breakdown.

  • Root cause ranked by contributing sensors
  • Time-to-failure estimate with confidence range
  • Historical similar anomaly pattern lookup
  • Auto work order generation with findings attached
Root Cause Report — Bearing B4
Contributing Sensors (ranked)
Vibration RMS
4.2× normal
Bearing temperature
+8.4°C
Motor current (phase A)
+3.1 A
Acoustic emission
Low freq rise
Estimated Time to Failure 24–48 hours · High confidence (87%)
URGENT
Industries Served

Anomaly AI Across Every Asset-Intensive Sector.

Manufacturing Bearing · Motor · Compressor · Quality
Energy & Solar Inverter · Transformer · Grid anomalies
Healthcare HVAC · Sterilisation · Pharma process
Agriculture Climate · Refrigeration · Pump systems
Cold Chain Reefer unit · Compressor · Temp drift
Facilities & BMS Chiller · AHU · Cooling tower anomaly
Oil & Gas Compressor · Pump · Pipeline integrity
Infrastructure Motor · Gearbox · Track vibration AI
94%Detection accuracy
30–60 minEarlier warning
80%Fewer false alarms
100sSensors per asset
Self-learnAdapts to your baseline
Auto WOWork order generation

Stop Reacting. Start Predicting.

Book a free anomaly detection workshop — we'll connect to a sample of your sensor data, run the AI model and show you what anomalies are already lurking in your equipment before the first alarm fires.