Palantir Foundry
Palantir Foundry is an integrated operating system that streamlines the end-to-end machine learning lifecycle by connecting data integration, model development, and operational deployment. It enables organizations to build, deploy, and manage scalable AI models while ensuring full lineage and governance across the production environment.
Amazon SageMaker
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning models quickly. It offers comprehensive MLOps tools to automate pipelines, monitor model performance, and standardize the ML lifecycle for scalable production environments.
Iguazio
The Iguazio MLOps Platform enables enterprises to develop, deploy, and manage AI applications at scale with end-to-end automation and real-time performance.
Databricks
Databricks is a unified data and AI platform that streamlines the machine learning lifecycle with managed MLflow, enabling teams to build, train, deploy, and monitor models at scale.
DataRobot
DataRobot is a unified AI platform that automates the end-to-end machine learning lifecycle, enabling organizations to build, deploy, and manage models at scale with built-in governance and monitoring.
C3 AI
C3 AI offers a comprehensive enterprise AI platform that enables organizations to design, develop, deploy, and operate machine learning applications at scale. The solution streamlines the entire ML lifecycle, providing tools for model management, monitoring, and governance to ensure reliable production operations.
SAS Viya
SAS Viya is a cloud-native AI, analytic, and data management platform that streamlines the entire machine learning lifecycle from data preparation to model deployment and monitoring. It enables organizations to operationalize analytics at scale with robust governance and automation capabilities.
Dataiku
Dataiku is a unified platform that democratizes data science and AI, offering tools for the entire machine learning lifecycle from data preparation to MLOps deployment and governance.
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that empowers data scientists and developers to build, deploy, and manage high-quality models faster and with confidence. It streamlines the entire MLOps lifecycle through automated workflows, robust model management, and scalable infrastructure.
IBM Watson Studio
IBM Watson Studio provides a collaborative environment for data scientists and developers to build, run, and manage AI models at scale, streamlining the lifecycle from data preparation to deployment.