Smart Factory Powered by Artificial Intelligence (AI)
Leverage Artificial Intelligence to implement Smart Factory initiatives and improve operational efficiency by 95%+
Propel your Smart Factory Journey with Artificial Intelligence (AI)
AI-driven Smart Factory solutions can be seamlessly integrated with IIoT, sensors, and PLCs on the shop floor, and combined with cyber-physical systems to significantly enhance production efficiency
Our AI-led Smart Factory solutions focus on 4 areas
Computer Vision Solutions come in handy to improve the efficiency of a variety of operations otherwise done manually
AI-led OEE Improvement
Process Optimization- Digital Twin
Preventive Maintenance
IIoT based Condition Monitoring
AI-led OEE Improvement
Enhance production efficiency using real-time data and minimize equipment downtime.
Machine Downtime Visibility
Equipment Availability Monitoring
Machine Performance Optimization
Process Optimization- Digital Twin
Leverage digital twins to simulate and optimize real-world processes for enhanced efficiency.
Dynamic Process Simulation
“What-If” Scenarios Analysis
Real-time Feedback Loop
Preventive Maintenance
Utilize data-driven insights to schedule maintenance tasks and prevent equipment failures.
Remaining Equipment Useful Life Estimation
Data-Driven Maintenance Planning
Automated Maintenance Alerts
IIoT based Condition Monitoring
Use real-time IIoT, and sensor data to detect equipment anomalies and and improve decision-making
Real-time Equipment Monitoring
Energy Consumption Optimization
Vibration Anomaly Detection
Smart Factory Solution Made Easy for You
Turnkey Solution
Complete solutions from sensor installation, data collection to application development
Real-time Processing
Process data in real-time to enable instant decision-making, and optimize operations
Versatile Data Handling
Analyze and interpret multiple data types for comprehensive factory intelligence
Rapid Deployment
Implement smart factory solutions in just a few weeks
Case Studies
A leading food manufacturer enhanced production efficiency and reduced downtime leading to cost savings of $2 million per annum