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Seldon is a Kubernetes-native MLOps platform for deploying, monitoring, explaining, and production governance.

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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 PolicyBook Demo
    Paid Upgrade Option? Yes
    Tool Release Year2014
    Founded byAlex Housley
    Employees51-200
    LocationLondon, United Kingdom
    Social media presence
    Popularity Index9.3
    Main FeaturesMLOps, LLMOps, Kubernetes Model Deployment, Real-Time Inference, Model Serving
    Best Used ForSeldon is best used by data scientists, ML engineers, MLOps teams, AI platform engineers, and enterprises

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    Seldon Core 2 does not require a time-limited trial because the core framework is open source. Enterprise capabilities are provided separately, with access and commercial terms.
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