AI Delivered, Fully Secured,
Lightning Fast

Store, secure, and manage your ML models, datasets, and artifacts in a central repository. Benefit from robust access controls for model sharing and automated versioning for reproducibility and easy rollback. Advanced scanning detects and blocks vulnerabilities and malicious components in every model.

Manage every model from research to production while simplifying experiment tracking for reproducible results. Train and fine-tune models with just one click, and deploy at any scale - from live API endpoints to Kafka streams. Track model performance, drift, and data changes with real-time monitoring and alerts.

Prepare and manage every feature for training and inference while reusing features across teams with a single source of truth. Ingest and process data from any source and build robust feature engineering pipelines.

Work with multiple ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and XGBoost, while leveraging your preferred data sources such as Snowflake, MySQL, Kafka, and more. JFrog is also fully integrated with Nvidia NIM, Hugging Face and most of the popular ML tools.