Plans & Pricing

Your Tools, Your Terms

Get your models into production with no wasted spend or unnecessary complexity. With flexible support and modular add-ons, you can scale confidently as your needs evolve.

An Open Source lightweight inference server for your machine learning models, built to deploy ML models in simple environments. 

Features

Support

A Modular framework with a data-centric approach, built to put models into production at scale, especially for data-critical, real-time use cases (e.g., search, fraud, recommendations).

Features

Support

Licensing

Accelerator programs including hands-on support plus the option to add modules, to ensure your machine learning projects are set up and maintained efficiently.

Features

Support

Module Add Ons

Accelerator programs including hands-on support plus the option to add modules, to ensure your machine learning projects are set up and maintained efficiently.

Features

Support

Core 2 is a Modular framework with a data-centric approach, designed to harness the growing complexities of real-time deployment and monitoring.

Features

Support

Licensing

Modular Add‑Ons for Maximum Flexibility

CORE+ Add-On

Add powerful explainability tools to your production ML pipelines, including a wide range of algorithms to understand model predictions for tables, images, and text covering both classification and regression.

Includes

CORE+ Add-On

Add real-time and batch monitoring to your ML pipelines, spotting drift, outliers, and adversarial inputs across all data types. It helps teams boost model quality, build trust, and meet global AI regulations.

Includes

CORE+ Add-On

Simplify the deployment, support for common design patterns (RAG, prompting, and memory) and lifecycle management of Generative AI (GenAI) applications and LLMs.

Includes

CORE+ Add-On

Model Performance Metrics (MPM) Module enables data scientists and ML practitioners to optimize production classification & regression models with model quality insights.

Includes

FREE DOWNLOAD

The Essential Guide to ML System Monitoring and Drift Detection 

Learn when and how to monitor ML systems, detect data drift, and overall best practices, plus insights from Seldon customers on future challenges.

FREE DOWNLOAD

The Essential Guide to ML System Monitoring and Drift Detection 

CONTINUED LEARNING

Explore new perspectives shaping the future of machine learning and AI.

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