| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Model Registry Software | 7.4 (#14) | 7.9 (#7) |
| Spec score · Model registries | 7.3 (#24) | 7.8 (#16) |
| Audience | Deeploy is intended for governance officers, AI engineers and organisations scaling AI while addressing compliance requirements. | The product is intended for data scientists, ML engineers, and AI developers bringing AI and ML services into production. |
| Headquarters | Utrecht, Netherlands | Sunnyvale, California, and Netanya, Israel |
| Integrations | Documented integrations include Databricks, MLflow, Hugging Face, AWS SageMaker, Azure Machine Learning, IBM Watsonx, Slack and Microsoft Teams. | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. |
| Product | Deeploy is an AI governance platform for real-time control of agentic, generative and predictive AI operations. | JFrog ML is an all-in-one solution to build, deploy, manage, and monitor AI workflows, from GenAI and LLMs to classic machine learning. |
| Security controls | Guardrails can detect, filter and neutralize sensitive content and prompt-injection patterns in LLM inputs and outputs. | JFrog's self-managed AI/ML service uses a frontend on the customer's JFrog Platform instance and a backend hosted by JFrog; enabling it requires a direct internet connection to bridge.ml.frog.io and an Enterprise+ license with AI Catalog entitlement. |
