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Industry Solution

Manufacturing & Industry 4.0
MES Β· IIoT Β· Predictive Maintenance

We build smart factory platforms β€” Manufacturing Execution Systems, IIoT dashboards, and predictive maintenance tools that give manufacturers real-time visibility and control.

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🏭
Manufacturing & Industry 4.0
10+
Manufacturing Platforms
35%
Avg OEE Improvement
IIoT
Real-Time Sensor Data
ML
Predictive Maintenance
10+
Manufacturing Platforms
35%
Avg OEE Improvement
IIoT
Real-Time Sensor Data
ML
Predictive Maintenance
What We Build

Our Manufacturing & Industry 4.0 capabilities

We build smart factory platforms β€” Manufacturing Execution Systems, IIoT dashboards, and predictive maintenance tools that give manufacturers real-time visibility and control.

🏭
MES Platform

Production scheduling, WIP tracking, quality control, and OEE dashboards.

βœ“ Production order management
βœ“ WIP real-time tracking
βœ“ OEE calculation & dashboards
βœ“ Quality inspection workflows
πŸ“‘
IIoT Integration

Connect PLCs, sensors, and machines to the cloud via MQTT and OPC-UA.

βœ“ MQTT & OPC-UA protocols
βœ“ Edge computing gateway
βœ“ Real-time telemetry ingestion
βœ“ Device management portal
πŸ”§
Predictive Maintenance

ML models on sensor data to predict failures before they cause downtime.

βœ“ Vibration & temperature ML models
βœ“ Anomaly detection
βœ“ Maintenance work order automation
βœ“ MTBF prediction
πŸ‘
Digital Twin

Virtual factory models for simulation, optimisation, and remote monitoring.

βœ“ 3D factory visualisation
βœ“ Real-time sensor overlay
βœ“ Simulation & scenario planning
βœ“ Remote operations centre
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Quality Management

SPC, non-conformance management, CAPA workflows, and supplier quality.

βœ“ Statistical process control (SPC)
βœ“ Non-conformance management
βœ“ CAPA workflows
βœ“ Supplier quality portal
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ERP Integration

Connect to SAP, Oracle, and Microsoft Dynamics for production planning.

βœ“ SAP PP/QM integration
βœ“ Oracle Manufacturing Cloud
βœ“ BOM & routing sync
βœ“ Production cost accounting
Case Study

PrecisionMfg
IIoT Platform for 35% OEE Gain

A precision parts manufacturer needed real-time machine monitoring across 200 CNC machines, predictive maintenance ML models, and MES integration with their SAP system.

200
CNC Machines Connected
35%
OEE Improvement
60%
Unplanned Downtime Reduction
16 wks
Core Platform
Node.jsPythonInfluxDBKafkaAWS IoTTensorFlowGrafanaSAP API
Our Process

How we deliver

01
Factory Floor Assessment

Map production processes, identify sensor data sources, integration points with ERP, and KPI targets.

02
IIoT Architecture

Edge gateway design, data pipeline architecture, MQTT broker setup, and cloud data platform.

03
Sensor & Device Integration

Connect machines via MQTT/OPC-UA, validate data quality, and set up real-time ingestion.

04
MES Core Development

Production orders, WIP tracking, quality inspections, and OEE calculation engine.

05
ML Model Training

Collect baseline sensor data, train anomaly detection and failure prediction models.

06
Operator UAT

Factory floor testing with operators and maintenance technicians. Iteration on workflows.

07
Phased Production Rollout

Line by line rollout with parallel run against existing systems.

Technology

The tech stack we deploy

ReactNode.jsPythonInfluxDBApache KafkaAWS IoT CoreMQTTOPC-UATensorFlowGrafanaPostgreSQLDocker
FAQ

Manufacturing & Industry 4.0
questions

Answers before you decide.

Talk to a Specialist β†’
How do you connect to existing factory machines?+
We use MQTT for modern connected machines and OPC-UA for PLCs and SCADA systems. For legacy machines without network connectivity, we deploy edge gateways (Raspberry Pi or industrial PCs) with adapters for serial/Modbus protocols.
How does predictive maintenance work?+
We collect baseline vibration, temperature, current draw, and operational data from machines. ML models (isolation forest for anomaly detection, LSTM for time-series prediction) learn normal patterns and alert when deviations suggest impending failure. Typical lead time: 24–72 hours before failure.
Can you integrate with SAP?+
Yes. We integrate with SAP PP (Production Planning), QM (Quality Management), and PM (Plant Maintenance) modules via SAP RFC, BAPIs, or S/4HANA REST APIs. We handle BOM sync, production order updates, and quality inspection results.
What does a manufacturing platform cost?+
IIoT monitoring dashboard: $30K–$60K. Full MES with predictive maintenance: $80K–$180K. Complete Industry 4.0 platform with digital twin: $150K–$350K.
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