Transform Traditional Manufacturing into an Intelligent, Connected Factory
Epsum Labs' Smart Factory Platform integrates machines, people, processes, and data into a single digital ecosystem — delivering real-time visibility, intelligent decision-making, predictive maintenance, and continuous optimisation.
Traditional manufacturing faces limited real-time visibility, frequent equipment failures, manual data collection, production inefficiencies, high energy consumption, quality issues, inventory tracking challenges, and a lack of data-driven decision-making — all holding back growth and competitiveness.
Key Benefits
Increase Production Efficiency and OEE
Reduce Downtime
Optimise Energy Consumption
Improve Product Quality
Enable Predictive Maintenance
Automate Production Monitoring
Improve Inventory Visibility and Workplace Safety
Support Digital Transformation Initiatives
Platform Modules
Industrial IoT (IIoT) Platform
Connect and collect data from machines, equipment, and industrial assets via PLC/SCADA integration, OPC UA/Modbus connectivity, edge device integration, and secure multi-plant device management.
Real-Time Production Monitoring
Live production tracking with shift-wise, machine-wise, and line-wise monitoring, production dashboards, throughput tracking, and batch management for complete operational visibility.
Production Analytics
OEE analysis, downtime analytics, bottleneck analysis, capacity utilisation monitoring, yield analysis, and KPI dashboards to drive manufacturing performance improvements.
AI-Powered Predictive Maintenance
Machine health monitoring, failure prediction, remaining useful life analysis, vibration and temperature analytics, condition monitoring, and predictive alerts to minimise downtime and lower maintenance costs.
Energy Management System
Real-time energy monitoring, load management, demand forecasting, power quality monitoring, solar monitoring, carbon emission tracking, and energy KPI dashboards to reduce costs and improve sustainability.
Quality Management & AI Inspection
AI-based defect detection, visual inspection systems, statistical process control, rejection and root cause analysis, and quality dashboards to reduce defects and improve consistency.
Digital Twin
Virtual representations of physical assets and processes for equipment simulation, process optimisation, what-if analysis, performance prediction, and virtual commissioning.
Warehouse & Inventory Intelligence
Real-time raw material, WIP, and finished goods tracking with barcode/RFID integration, inventory analytics, stock forecasting, and material consumption analysis.
Computer Vision & Video Analytics
AI-enabled cameras for defect detection, PPE compliance monitoring, fire and smoke detection, vehicle tracking, material counting, intrusion detection, and safety monitoring.
Industrial AI Assistant
A natural language AI assistant that answers operational questions, provides equipment diagnostics, retrieves SOPs, performs root cause analysis, and generates reports — reducing dependency on manual analysis.
Safety & Compliance Management
Safety incident tracking, hazard monitoring, permit management, compliance dashboards, PPE monitoring, audit management, and emergency alerts for a safer, more compliant workplace.
Executive Dashboard & Business Intelligence
Plant performance dashboards, multi-plant comparison, financial analytics, and automated MIS reporting to give management complete enterprise-wide visibility and strategic decision support.
Industries Served
Steel & Metal Plants
Mining
Cement
Power Generation
Automotive
Chemical
Pharmaceutical
Food & Beverage Manufacturing
Textile
Oil & Gas
Logistics & Warehousing
Business Outcomes
15–30%
Reduction in Downtime
10–25%
Increase in Production Efficiency
10–20%
Energy Savings
Improved Product Quality, Safety, and Asset Utilisation
Faster Decision Making and Higher Profitability
Monitor. Predict. Optimise. Automate. Innovate.
Build the factory of the future with an end-to-end Smart Factory Platform that connects machines, people, and processes into a single intelligent ecosystem.