AIUPS|Data Analysis & Prediction AI Platform

Are These Challenges Holding Back Your Production?

Limited visibility into equipment and process data

Quality issues that are hard to predict and control

High AI adoption barriers and talent gaps

Disconnected production data across systems

AIUPS

Enables fast, low-barrier predictive analytics—helping manufacturers identify

critical factors, anticipate issues, and move toward zero-defect production.

From AI Models to Real Production Decisions

End-to-End AutoML, from Data to Prediction

A visual, no-code AutoML workflow that integrates data ingestion, feature engineering, and model training—no programming required.

  • AutoML for rapid predictive model creation
  • Real-time data streams with continuous model updates
  • Visual monitoring of model performance and predictions

Easier Data Integration. Faster Decisions

AIUPS connects PLC, MES, ERP, and sensor data—turning fragmented sources into a unified decision-ready foundation.

  • Automated feature extraction and standardization
  • Visual analytics and report generation
  • Key factor analysis and anomaly prediction

數據通 AIUPS

Three Proven Gains for Scalable Production Performance

Quality Improvement
Detect anomalies earlier with AI prediction models, reducing defect rates by 30%+

Capacity Optimization

Identify key process drivers to boost overall throughput by 10%+

Faster Decision-Making
Real-time data cuts manual analysis time by up to 90%

Lamp Lamp

From data collection to predictive decisions, AIUPS accelerates your journey to AI-driven manufacturing.

AIUPS

Typical Use Cases

Process Parameter Prediction & Quality Optimization

AI models identify key process drivers to stabilize yield and reduce variation.

Equipment Anomaly Detection & Predictive Maintenance

AI-powered PdM detects equipment issues early to prevent unplanned downtime.

Energy & Material Optimization

Analyze historical consumption data to determine optimal process settings.

Intelligent Decision Analytics

Generate production and management insights for faster, informed responses.

AIUPS

Core Features

AutoML Modeling

Build predictive models with low-code workflows for data prep, feature extraction, and training.

Real-Time Predictive Analytics

Monitor live production data and automatically detect anomalies and deviations.

Visual Dashboards

Track production, quality, and predictions through multi-dimensional visual insights.

Intelligent Alerting

AI-driven alerts proactively notify potential risks before issues escalate.

AIUPS

Proven Results

Precision Electroplating for Precious Metal Connectors

  • Established energy data baselines for plating equipment
  • Stabilized plating thickness near spec limits
  • Reduced precious metal usage and production cost

AI Chilled Water Optimization (Smart Chiller)

  • Annual energy savings of approx. NT$3.2M (8,000 hrs/year)
  • Variable-speed pump optimization reduced power use by ~50%

Multi-Factor Big Data Simulation for Raw Material Futures

  • Forecast error reduced from >10% to ±1.5%
  • Enabled advance procurement planning and cash flow optimization
  • Positioned clients as industry benchmarks

Green Zone Visualization Solution

  • Faster process tuning via dynamic parameter calculation
  • Real-time monitoring improves yield and quality stability
  • Virtual simulation minimizes trial risk and resource waste

Why Choose Foresight Technology – AIUPS?

AutoML for Everyone

Build high-accuracy AI models through a visual interface—no coding required.

Unified Data Hub for Smarter Decisions

Connect PLC, MES, ERP, and sensor data to centralize analysis and visualization.

Real-Time Prediction & Alerts

Continuously updated models detect anomalies early and reduce unplanned downtime.

Production-Ready AI

Supports on-prem deployment and shop-floor integration, ensuring AI works in real production environments.

Start Your AI-Powered Smart Manufacturing Journey Today

Book a demo to experience how AutoML and AI predictive models help you take control of critical production data and build zero-defect manufacturing capabilities.