Automate Model Selection. Zero Configuration.

Upload your dataset, select a target, and let our distributed Bayesian engine find the optimal machine learning architecture for your specific problem space.

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How it works

Three simple steps to production-ready models.

1. Upload Data

Securely upload your CSV dataset. We handle missing values, normalization, and automated preprocessing instantly.

2. Define Target

Select the column you want to predict. We automatically detect if it is a classification or regression problem.

3. Optimize

Our Optuna engine spins up and tests hundreds of hyperparameters in parallel to find the absolute best model.

Enterprise Infrastructure

Built on top of robust open-source libraries, containerized for massive scale.

Algorithm Search

Automatically tests across Logistic Regression, Random Forests, and XGBoost to find the global minima.

Native Preprocessing

Automatic imputation, scaling, and one-hot encoding handled directly in the ingestion layer.

Bayesian Optimization

Powered by TPE (Tree-structured Parzen Estimator) to intelligently navigate hyperparameter space.

Ready to train better models?

Stop guessing hyperparameters. Join Neural Net Insights today and let our bayesian optimization engine do the heavy lifting.

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