Industrial Protocol 4.0

Stop Reacting to Failures.
Start Predicting Them.

Predictive maintenance, computer vision QC, operational anomaly detection, and energy optimization. AI that sits beside your existing SCADA, MES, and ERP layers.

MTBF INCREASE+42.8%
ENERGY SAVINGS18.4 GWh

What Stalls Industrial Today.

Unplanned Downtime

Reactive maintenance costs orders of magnitude more than predictive intervention.

Late Defect Detection

Defects caught at the end of the line have already consumed materials and labor.

Operational Data Silos

Sensor, MES, and ERP data live in separate systems that never speak to each other.

Operational Capabilities

Sector-07 Systems Deployment Specs

Predictive Maintenance

Vibration, thermal, and acoustic models predict failure windows.

VibrationThermalAcoustic
ACCURACY: 98.4%LATENCY: 12ms

Computer Vision QC

On-line defect detection at production speed.

DefectsOn-line
THROUGHPUT: 1.2k/minREJECTION: <0.1%

Operational Anomaly Detection

Cross-stream pattern detection across sensors and MES events.

Cross-streamPatterns
SENSORS: 10,000+ALERTS: PRIORITY

Energy Optimization

Load forecasting and recipe-aware scheduling reduce kWh per unit.

ForecastingScheduling
SAVINGS: 22%ROI: 6 MONTHS

Asset System Logs

[14:22:01] SYS: CALIBRATION COMPLETE ON NODE_07
[14:22:08] WARN: VIBRATION SPIKE DETECTED - MOTOR_A2
[14:22:15] INFO: LOAD BALANCING SHIFTED TO GRID_B
[14:22:34] ALRT: THERMAL THRESHOLD EXCEEDED - ZONE_4
[14:22:42] INFO: AI OPTIMIZATION PLAN GENERATED
[14:22:50] SYNC: DATABASE MIRROR UPDATED
[14:23:04] WARN: PRESSURE DELTA FLAGGED - TURBINE_04
[14:23:18] INFO: INFERENCE CYCLE COMPLETE - 840 ops/s

Telemetry Feed

Predicted
Actual
Industrial telemetry data visualization — neon blue and orange line charts
SYSTEM HEALTH
99.8%
DATA THROUGHPUT
4.2 GB/s
AI INFERENCE
840 ops/s

Before. After. Measured.

Success Story // R&D

Efficiency Beyond Human Scale.

A mid-volume parts manufacturer added vibration-based predictive maintenance to twelve critical assets.

Before

Six unplanned stoppages per quarter on the monitored line.

After

Predictive alerts triggered service windows. Unplanned stoppages dropped to one in the following quarter.

1 / quarter
Unplanned stoppages
Hours ahead
Mean time to detect
Pre-staged
Spare parts logistics

Universal Connectivity

Industrial Ecosystem Ready

SCADAMESERPOPC-UAModbusEdge GPU

Your Next Failure Is Already in the Data.

Capture it before it captures your revenue. Deploy NovaFekra predictive intelligence across your critical assets.

Get Full Audit Integrates with your existing SCADA, MES, and ERP. Zero rip-and-replace.