Everything you need to build production ML

From data ingestion to model deployment, AutoML provides the complete ML infrastructure your team needs to ship AI products faster.

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Automated Training

Upload your data and let AutoML automatically try hundreds of algorithms and hyperparameter combinations to find the best model.

Real-time Predictions

Deploy models with a single click and get sub-50ms prediction latency with our globally distributed inference infrastructure.

Data Pipelines

Built-in ETL pipelines handle data cleaning, feature engineering, and transformations automatically based on your data types.

Model Monitoring

Track model performance, detect data drift, and get alerts when accuracy drops below your thresholds.

Version Control

Every model, dataset, and pipeline is automatically versioned. Roll back to any previous version instantly.

Enterprise Security

SOC 2 Type II certified, GDPR compliant, with end-to-end encryption and private model hosting options.

Automated Training

From data to model in minutes

AutoML automatically selects the best algorithms, tunes hyperparameters, and handles feature engineering for your dataset.

  • Neural Architecture Search
    Automatically find optimal model architectures for your data
  • Bayesian Optimization
    Smart hyperparameter tuning that learns as it searches
  • Ensemble Models
    Combine multiple models for better predictions
$ automl train --dataset sales.csv --target revenue
Training model...
✓ Data validation complete
✓ Feature engineering complete
✓ Model selection complete
✓ Best model: XGBoost (R² = 0.94)
Model ready for deployment!
Data pipeline visualization
Data Pipelines

Transform data effortlessly

Built-in pipelines handle messy real-world data automatically, from missing values to categorical encoding.

Automatic Data Cleaning

Detect and handle missing values, outliers, and data quality issues

Smart Feature Engineering

Generate derived features like date parts, text embeddings, and interactions

Real-time Transformations

Apply the same preprocessing at prediction time automatically

Model Monitoring

Stay ahead of model drift

Real-time monitoring and alerts keep your models performing at their best

Performance Tracking

Monitor accuracy, precision, recall, and custom metrics in real-time dashboards.

Track: Accuracy • F1 Score • AUC-ROC • Custom Metrics

Data Drift Detection

Automatically detect when incoming data distributions diverge from training data.

Detect: Feature Drift • Prediction Drift • Concept Drift

Smart Alerts

Get notified via Slack, email, or webhook when models need attention.

Channels: Slack • Email • PagerDuty • Webhook

Automated Retraining

Set up triggers to automatically retrain models when performance degrades.

Triggers: Schedule • Performance • Data Drift
Deployment

Deploy anywhere

Flexible deployment options for any infrastructure

Managed Cloud

One-click deployment to our globally distributed inference infrastructure

Your Cloud (VPC)

Deploy to your own AWS, GCP, or Azure account for maximum control

On-Premises

Run AutoML in your own data center for compliance and air-gapped environments

Ready to build production ML?

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