MLJAR-supervised is a modern, human-first AutoML framework designed to automate the entire machine-learning workflow. It handles data preprocessing, model selection, hyperparameter tuning, evaluation, and reporting — all with full transparency and reproducibility.
You upload your dataset → choose the target → and MLJAR-supervised finds the best model and documents every step.
Clear. Explainable. No black box.

MLJAR Studio is a complete desktop environment for data analysis and machine learning — built to help everyone work faster and more efficiently.
It combines Python, no-code tools, AutoML, visualizations, reporting, and “piece of code” blocks in one clean interface.
No library installation. No environment headaches.
Perfect for beginners — powerful for professionals.

MERCURY is the easiest way to turn any Python notebook into an interactive report, dashboard, or web app.
Add widgets → publish with MERCURY CLOUD → your users get a fully interactive experience without touching code.
Ideal for researchers, analysts, educators, and consultants.

We build tools that let you focus on insights — not infrastructure.

MLJAR, Inc.

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MLJAR, Inc.

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