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On the recordRead 3 Oct 202627 facts
JFrog ML
Sunnyvale, California, and Netanya, Israel
On the record
- Alerts
- JFrog ML alerting documentation describes integrations with Slack, Opsgenie, and PagerDuty for model and feature-set alerts.docs.jfrog.com · read 3 Oct 2026
- Audience
- The product is intended for data scientists, ML engineers, and AI developers bringing AI and ML services into production.jfrog.com · read 3 Oct 2026
- Certifications
- JFrog's Trust Certificate Program lists SOC 2 Type II, SOC 3, IRAP, ISO 27001, ISO 27701, ISO 27017, TISAX, CSA STAR Level 1, Cyber Essentials, and KY3P by S&P Global.jfrog.com · read 3 Oct 2026
- Cloud providers
- The product page states that JFrog ML natively supports AWS, Google Cloud, and Microsoft Azure.jfrog.com · read 2 Oct 2026
- Clouds
- JFrog ML states native support for AWS, Google Cloud, and Microsoft Azure, with deployment on JFrog's platform or customer infrastructure.jfrog.com · read 3 Oct 2026
- Company
- JFrog says its Liquid Software journey began in 2008; an official JFrog-hosted company profile lists its founding year as 2008 and headquarters in Netanya, Israel, and Sunnyvale, California.jfrog.com · read 3 Oct 2026
- Deployment
- Models can be served as API endpoints, used for batch inference, and A/B tested.jfrog.com · read 3 Oct 2026
- Deployment options
- JFrog ML Cloud offers cloud deployment, while its hybrid architecture allows data and models to remain in a customer's cloud environment.docs.jfrog.com · read 2 Oct 2026
- Feature pipelines
- JFrog ML supports batch, streaming, and real-time feature transformations with end-to-end pipeline visibility.docs.jfrog.com · read 2 Oct 2026
- Feature Store
- The Feature Store supports batch, streaming, and real-time feature sets, but JFrog ML SaaS supports batch feature sets only; real-time and streaming feature sets require a hybrid deployment.docs.jfrog.com · read 3 Oct 2026
- Integrations
- JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations.jfrog.com · read 3 Oct 2026
- Lifecycle
- The platform supports data preparation, model building and training, deployment, monitoring, and pipeline automation.docs.jfrog.com · read 2 Oct 2026
- MLOps bundle eligibility
- The pricing page says Unified MLOps is available for Enterprise X and Enterprise + subscriptions, while Ultimate MLOps is available for Enterprise + subscriptions.jfrog.com · read 2 Oct 2026
- Model deployment
- Models can be deployed as REST endpoints, batch transformation jobs, or streaming applications.docs.jfrog.com · read 2 Oct 2026
- Model registry
- JFrog ML uses Artifactory as a model registry for versioning, traceability, and governance, and describes Xray scanning models, containers, and artifacts for vulnerabilities and license compliance issues.docs.jfrog.com · read 3 Oct 2026
- Model training
- The product page says users can train or fine-tune models, including building models from scratch.jfrog.com · read 2 Oct 2026
- Observability
- Its production observability features include performance metrics, model feature management, and inference analysis and queries.docs.jfrog.com · read 2 Oct 2026
- Product
- JFrog ML is an all-in-one solution to build, deploy, manage, and monitor AI workflows, from GenAI and LLMs to classic machine learning.jfrog.com · read 3 Oct 2026
