AI & Analytics Platform

Data Analytics & AI Models

From exploratory analysis to production AI models. Time-series forecasting, anomaly detection, clustering, and predictive analytics—all with visual tools or Python.

  • Time-Series Forecasting - Multi-variate predictions with ARIMA, Prophet, LSTM
  • Anomaly Detection - Identify outliers and patterns automatically
  • Embedded Analytics - Deploy as APIs or embed in existing tools

Analytics & AI Platform

Statistical analysis, AI models, and visualization—built for data teams

Analytics icon

Statistical Analytics

Exploratory data analysis, statistical tests, and visualization with drag-and-drop or code.

  • Descriptive statistics & distributions
  • Correlation & regression analysis
  • Hypothesis testing
  • Time-series decomposition
  • Interactive visualizations
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AI Models

Pre-built AI components or custom Python models. AutoML for rapid prototyping.

  • Classification & regression
  • Clustering & segmentation
  • Time-series forecasting
  • Anomaly detection
  • Model versioning & deployment

Analytics Capabilities

Visual or code-based analysis for any skill level

Drag-and-Drop Analysis

Visual analytics builder for quick exploratory analysis without writing code.

Python & R Support

Full Python environment with pandas, scikit-learn, TensorFlow, and more.

AutoML Pipelines

Automated feature selection, model training, and hyperparameter tuning.

Real-Time Scoring

Deploy models as REST APIs for real-time predictions in production.

Embedded Analytics

Embed charts, dashboards, or model outputs directly in your applications.

Scheduled Reports

Automated report generation and distribution on custom schedules.

Visual Analytics Builder

Visual Analytics Builder

Drag-and-drop interface for rapid data exploration. Connect data sources, apply transformations, and create visualizations—all without writing code. Perfect for quick analysis or building reusable analytics workflows.

Advanced AI Components

Advanced AI Components

Pre-built AI components for common use cases: forecasting, classification, clustering, and anomaly detection. Customize parameters visually or extend with Python for full control over your models.

Forecasting & Optimization

Forecasting & Optimization

Time-series forecasting with ARIMA, Prophet, LSTM, and ensemble methods. Multi-variate predictions, seasonality detection, and confidence intervals. Optimization algorithms for resource allocation and scheduling.

Analytics Use Cases

Analytics
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Use Case | 3 min to read

Supply Chain Planning Families

Analyze and form supply chain families.

Analytics
Multi-Channel Insights
Advanced Clustering
Analytics
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Use Case | 3 min to read

Multi Regression Analysis

Use out of the box correlation analysis paired with regression models - get results in minutes.

Regression models
Insights
Data Analytics
Analytics
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Standard Use Case | 3 min to read

Forecasting Excellence with AI & Forecastability

Use guided best-in-class (AI) forecasting methods and forecastability analysis to automatically detect and realize improvement potential.

Forecasting Methods
Forecastability
Forecasting Improvements

See Analytics in Action

Start Analyzing Your Data

From exploratory analysis to production AI models—get started in minutes.

30-day trial • Full Python environment • No vendor lock-in