Global Network: Operational
•99.98% Uptime
Drive Industry 4.0 transformation with IoT-enabled production monitoring, predictive maintenance, supply chain optimization, and AI-powered workforce management. Reduce downtime by 50%, cut costs by 25%, and increase OEE by 30%.
Modern manufacturing demands real-time visibility, predictive intelligence, and seamless coordination across production lines, supply chains, and workforce operations. Unplanned downtime costs manufacturers an estimated $50 billion annually, while supply chain disruptions, quality inconsistencies, and labor shortages compound the challenge. Our Industry 4.0 solutions connect machines, sensors, and people onto a unified digital platform — enabling real-time production monitoring, AI-driven predictive maintenance, automated quality inspection, and intelligent workforce scheduling. The result is dramatically improved OEE (Overall Equipment Effectiveness), reduced operational costs, and supply chain resilience.
Measurable results and performance metrics
End-to-end Industry 4.0 solutions from shop floor to supply chain.
Real-time production line monitoring with IoT sensors, SCADA integration, and live OEE dashboards.
AI-driven predictive maintenance that forecasts equipment failures before they occur, eliminating unplanned downtime.
End-to-end supply chain visibility with demand forecasting, vendor management, and logistics optimization.
Intelligent scheduling and workforce management optimized for manufacturing operations.
Computer vision and AI-powered quality control that detects defects in real-time on the production line.
Manufacturing execution system with real-time analytics, cost tracking, and continuous improvement insights.
A proven approach for smart factory implementation with minimal production disruption.
Audit production lines, equipment, and current systems for transformation readiness.
Design sensor deployment, connectivity, and data architecture.
Install IoT sensors, integrate with SCADA/MES/ERP, and configure dashboards.
Train AI models, optimize processes, and scale across plants.
Real-world implementations delivering measurable business impact
Automotive Parts Manufacturer
Deployed predictive maintenance across 200+ CNC machines using vibration and thermal sensors, predicting failures 72 hours in advance.
50% downtime reduction, $3M saved annuallyFMCG Packaging Company
Implemented real-time IoT monitoring and automated downtime classification across 8 production lines.
OEE improved from 62% to 85%Electronics Manufacturer
Deployed computer vision quality inspection on PCB assembly lines, catching defects invisible to human inspectors.
99.5% detection, 40% faster inspectionSteel Fabrication Plant
Implemented AI-powered shift scheduling and skill-based crew allocation across 3 plants and 2,000+ workers.
35% less overtime, 20% higher productivityCommon questions about our manufacturing solutions
Yes, we support integration with all major SCADA platforms (Siemens, Schneider, Rockwell, Wonderware) and PLCs via OPC-UA, Modbus, MQTT, and custom protocols.
We install retrofit IoT sensors (vibration, temperature, current, acoustic) on existing equipment without modifying the machines. Data is transmitted via industrial gateways to our cloud platform.
Most manufacturers see ROI within 6-12 months. Typical savings include 50% reduction in unplanned downtime, 25% reduction in maintenance costs, and 20% longer equipment life.
Absolutely. Our platform is built for multi-plant, multi-region deployments with centralized dashboards, role-based access, and plant-level drill-down analytics.
Our computer vision models are trained on your specific products and defect types. We support metals, plastics, electronics, food, and pharmaceutical manufacturing.
We implement edge computing for latency-sensitive data, encrypted data transmission, on-premise deployment options, and ISO 27001 compliant data handling.
Get a free plant assessment and discover how Industry 4.0 technology can reduce downtime, cut costs, and boost production efficiency.
