Machine Learning

One-Click AutoML

Effortlessly train dozens of machine learning models. AutoML handles preprocessing, algorithm testing (XGBoost, RandomForest, etc.), and tuning to find the best model for your data — no code required.

Configure Your Training in Seconds

Choose your target variable and select a training mode—Fast, Balanced, or Comprehensive. That's it. The system handles the rest, from feature engineering to model selection.

AutoML configuration screen.

Transparent Results

Understand Every Model

AutoML provides a detailed leaderboard comparing all trained models on key metrics like Accuracy, Precision, and Recall. Understand which algorithms performed best and why, and deploy the winner with a single click.

View Documentation
AutoML leaderboard comparison.

Common Use Cases for AutoML

Solve Real Business Problems

Build powerful predictive models for the challenges that matter most to your business.

Classification

Predict Customer Churn

Build classification models to identify customers at risk of leaving.

Regression

Forecast Sales Demand

Use regression to predict future sales, revenue, or inventory needs.

Classification

Detect Fraudulent Transactions

Train anomaly detection models to flag unusual and suspicious activity in real-time.

Clustering

Segment Your Customers

Use clustering algorithms to automatically group customers based on behavior and attributes.

Frequently Asked Questions

Have questions? We have answers. If you can‘t find what you‘re looking for, feel free to contact us.

It's an automated machine learning tool that allows you to train, tune, and compare multiple state-of-the-art ML models on your dataset without writing any code. Upload your data, pick a target to predict, and the system does the rest.
AutoML tests a wide range of algorithms for your data, including Gradient Boosting models (XGBoost, LightGBM), Random Forests, Logistic Regression, and more.
No. AutoML is designed for business analysts, marketers, operators, and data scientists who want rapid baselines. It automates complex tasks so you can focus on outcomes.
Training time depends on dataset size and mode ('Fast', 'Balanced', or 'Comprehensive'). A fast run on a typical dataset can finish in minutes.