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Seldon is a Kubernetes-native MLOps platform that helps teams deploy, scale, monitor, and govern machine learning and AI models in production.
They provide model serving, inference pipelines, observability, A/B testing, canary deployments, and real-time monitoring across cloud and on-premise environments.
Their standout capability is Seldon Core 2, which connects models, processing steps, and monitoring components into scalable, data-centric pipelines.
They also support LLM deployment, guardrails, drift detection, explainability, multi-model serving, REST and gRPC, and 40+ integrations.
Seldon provides open-source components including Seldon Core 2, MLServer, Alibi Detect, and Alibi Explain, with no free trial information specified.
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| Free Usage Policy | Book Demo |
| Paid Upgrade Option? | Yes |
| Tool Release Year | 2014 |
| Founded by | Alex Housley |
| Employees | 51-200 |
| Location | London, United Kingdom | Social media presence |
| Popularity Index | 9.3 |
| Main Features | MLOps, LLMOps, Kubernetes Model Deployment, Real-Time Inference, Model Serving |
| Best Used For | Seldon is best used by data scientists, ML engineers, MLOps teams, AI platform engineers, and enterprises |
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