Combine process data with AI analysis to optimize key parameters and improve yield and productivity.
NumOps AI Data Analytics Platform
Turn enterprise data
into AI-driven decisions
Build predictive models and spot trends in your data.
Manage analysis and deployment in one place.
Process anomaly detection rate97.5%
Diagnosis speed↑ 60×x
Energy savings20%+
* Results shown are from individual deployments. Actual results vary with data quality and application environment.
NumOpsINTELLIGENT DATA WORKSPACE
WHY NumOps
From Data to AI-Driven Decisions
Turn operating data into forecasts and better decisions.
CAPABILITIES
Six Predictive AI Capabilities
Classification, Forecasting and Anomaly Detection
Build models for classification, regression, forecasting, anomalies and clustering.
Expert System
Build a rule base from rules and conditions—no historical data required—to emulate expert know-how and decision logic.
Classification
Train AI models on historical data to classify equipment, products or events automatically for quality management and risk assessment.
Regression
Train AI models on historical data to predict continuous metrics such as yield, energy use and output, and track key trends.
Anomalies
AI models identify abnormal events and data automatically, giving early warning of potential risks and operational issues.
Time Series
Analyze historical data and cyclical patterns to forecast future demand, capacity and key metrics.
Clustering
Group data automatically by its characteristics—no predefined labels needed—to support customer analysis and market segmentation.
USE CASES
Predictive AI Applications
Use operational data to forecast, detect anomalies and improve decisions.
Process Optimization
Combine process data with AI analysis to optimize key parameters and improve yield and productivity.
Monitor process parameters in real time and flag anomaly risks early to reduce downtime and quality losses.
Analyze historical data with AI models to recommend optimal settings and cut energy use and operating costs.
Analyze equipment sensor data with AI to predict failure risks, optimize maintenance and keep production stable.
Combine environmental sensor data with AI analysis to optimize climate control automatically and improve crop quality and yield.
FEATURES
Smart Data Processing Tools
Built-in tools for data cleaning, transformation, and feature engineering enhance data quality and improve model accuracy.
Model Analysis
Compare models with a leaderboard, feature importance and evaluation metrics to find the best one and understand its predictive performance.
Built-in tools for missing values, label encoding and feature engineering improve data quality and model accuracy.
Turn expert know-how into a reusable rule base that defines decision logic and judgment criteria.
Publish models, integrate them via API and deploy them at the edge to put them into production smoothly.
Run batch predictions on large datasets and export the results to speed up analysis and decisions.
NumOps WORKFLOW
How NumOps Works
Prepare data, train models and put predictions to work.
- 01Data Upload and Analysis
Upload CSV or XLS data. NumOps flags format issues, missing values and outliers.Data Upload and Analysis - Data Preprocessing
- Merge Versions
- Model Training
- Model Analysis
- Deploy and Go Live
INTEGRATION
From Data to On-Site Decisions
NumOps × WinEdge
Connect data sources, deploy models and act on predictions.
Sensors / IoTSCADA / PLCMES / ERP SystemsHistorical Data (.csv/.xls)
Data Preparation
Data AnalysisData PreprocessingFeature EngineeringDataset Management
Model Development
Expert SystemClassification ModelRegression ModelAnomaly Detection ModelTime-Series ForecastingClustering Model
Model Analysis
Model LeaderboardTest Set AnalysisFeature ImportancePerformance Metrics
Deployment & Output
Model DeploymentAPI PublishingBatch PredictionRule-Based Inference
Edge DeploymentReal-Time InferenceDevice IntegrationMulti-Site ControlData Backhaul / Live Monitoring
Process TuningProcess AnomaliesEnergy SavingsFailure PredictionSmart Greenhouses
01
Data Sources
Sensors / IoT
SCADA / PLC
MES / ERP Systems
Historical Data (.csv/.xls)
02
NumOpsData AI Training Platform
Data Preparation
- Data Analysis
- Data Preprocessing
- Feature Engineering
- Dataset Management
Model Development
- Expert System
- Classification Model
- Regression Model
- Anomaly Detection Model
- Time-Series Forecasting
- Clustering Model
Model Analysis
- Model Leaderboard
- Test Set Analysis
- Feature Importance
- Performance Metrics
Deployment & Output
- Model Deployment
- API Publishing
- Batch Prediction
- Rule-Based Inference
03
WinEdgeReal-Time Edge Inference Platform
Edge Deployment
Real-Time Inference
Device Integration
Multi-Site Control
Data Backhaul / Live Monitoring
04
Applications
Process Tuning
Process Anomalies
Energy Savings
Failure Prediction
Smart Greenhouses
DEPLOYMENT
Deployment Architecture and System Requirements
Deploy on-premises and keep your data and models under your control.
Software requirements
| Item | Version |
|---|---|
| Operating System | Ubuntu 20.04 or later |
| Docker Engine - Community | 20.10.17 or later |
Deployment architecture
- Flexible on-premises / private cloud deployment
- Data stays 100% on-site, under your control
- Multi-user collaboration and access control
- Hardware resource scheduling and quota management
Hardware requirements
| Item | Minimum | Recommended |
|---|---|---|
| CPU | Intel® 9th Gen Core™ i5 / i7 (AMD64 / x86) | Intel® 13/14th Gen Core™ i5 / i7 |
| Memory | 16GB | 128GB |
| Storage | 1TB HDD | 1TB SSD + 2TB HDD |
| Ports | USB 2.0 / 3.0 (for security dongle) | |
Recommended compatible hardware
PRICING
Purchasing Options
Choose the licensing model that fits your use case and budget.
Perpetual Plan
- Perpetual license
- Full GPU server configuration
- Private cloud / on-premises deployment
- Full control of your data
- Lifetime technical support
Best forLong-term use, sensitive data
Annual Plan
- Annual license
- Full GPU server configuration
- Private cloud / on-premises deployment
- Regular system updates
- Annual technical support
Best forFlexible budgets, phased needs
Perpetual Model Plan
- Perpetual license
- Private cloud / on-premises deployment
- Includes SDK and API (licensed per computer)
Best forDevelopment teams that need SDK/API integration