Seldon

Machine learning deployment for enterprise

Take your machine learning projects from POC to production with maximum efficiency and minimal risk.

Bringing the power of DevOps to machine learning

Manage, serve and scale models in any language or framework on Kubernetes. Seldon accelerates data scientists and DevOps speed-to-production.

Familiar frameworks, unprecedented support

Seldon helps your data science team move faster and reduce the bottlenecks between POC and production. Our open-source machine learning deployment platform, built on Kubernetes and other cloud-native technologies, goes far beyond serving models.

With Seldon, you have the freedom to package and serve models built in any ML tool using powerful inference graphs that streamline the creation of dynamic experiments and ensembles. There are a broad range of ML pipeline configurations, so we engineered Seldon to work seamlessly with Kubeflow and CI/CD to support “GitOps”methodologies.

Machine learning deployment for every organisation.

No matter where you are in your machine learning capabilities, Seldon’s flexible pricing structures can power any organisation.

Scale up from pre-production to full enterprise licenses with a range of cost-effective and fully supportive pricing structures.