
“The first step toward autonomous manufacturing, where AI delivers results” Data and AI driven Performance
Machine365.Ai™
Machine365.Ai is an AI-based autonomous manufacturing solution that connects all your factory data to analyze energy, production, and equipment status in real time. By predicting anomalies in advance and suggesting improvements, it helps you cut costs, boost production efficiency, and reduce downtime.
Key Features

- 01
Integrated Shop-Floor Data Analysis
Connects production, equipment, PLC, and energy data on a single platform to analyze sources of waste on the shop floor
- 02
AI-Based Risk Prediction & Improvement Suggestions
Detects anomalies in advance, while the AI Agent identifies root causes and suggests improvements
- 03
Data-Driven Decision-Making
Reduces uncertainty and increases confidence in decisions based on real-time data and AI analysis
Key Benefits
Reduce Energy Costs
·Predicts power usage patterns and peak-risk periods to cut unnecessary electricity chargesImprove Overall Equipment Effectiveness (OEE)
·Analyzes productivity and downtime factors for each machine to quickly identify production losses and bottlenecksReduce Equipment Downtime
·Detects early warning signs from PLC data and alarm history to prevent unexpected equipment stoppagesOptimize Process Operations
·Analyzes utilization, output, and downtime together to diagnose the causes of efficiency loss and raise productivity
Key Functions
- 01
Energy Management
Visualizes energy flow by factory, line, and machine, while AI analyzes power usage patterns to predict peaks and propose cost-saving strategies
- 02
Real-Time Production Management
Diagnoses the root causes of production flow issues through production results, achievement rate against targets, output trends, and OEE analysis
- 03
Predictive Maintenance (PdM)
Monitors equipment operating status, PLC data, and corrective actions in one place, and prevents anomalies in advance with AI analysis
- 04
AI Agent-Based Conversational Diagnosis
Answers user questions with root-cause analysis of anomalies and concrete action plans