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DirectoryAI & ML PlatformsML Platforms & MLOps

ML Platforms & MLOps Vendors

Model training, deployment, and lifecycle management. This directory lists 34 ml platforms & mlops vendors, compiled from public sources.

AWS SageMaker

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Integrated AI and ML platform for enterprise data and model lifecycle management

Activeloop

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GPU-optimized AI data platform powering advanced machine learning applications

Airflow (Apache)

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Programmatically author, schedule, and monitor scalable workflows in Python.

Argo Workflows

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Kubernetes-native workflow engine for orchestrating containerized jobs

Azure ML Pipelines

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Automate and standardize machine learning workflows for scalable team collaboration

Azure Machine Learning

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Enterprise-grade AI service for end-to-end machine learning lifecycle

BentoML

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Flexible AI/ML model serving and inference platform for enterprises

Cleanlab

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Ensure trustworthy AI with real-time error detection and remediation

ClearML

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Enterprise AI infrastructure platform for scalable ML development and deployment

Comet ML

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Enterprise-grade AI developer platform for monitoring and optimizing AI agents

DVC (Iterative)

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Open source data version control for AI and machine learning workflows

Dagster

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Unified platform to build, scale, and observe AI and data pipelines confidently

Determined AI (HPE)

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Open source platform for efficient AI model training and management

Flyte

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Open source platform for dynamic AI and ML workflow orchestration

Google Vertex AI

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Unified AI platform for building and deploying enterprise generative AI applications

Guild AI

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Neutral control plane for deploying and governing AI agents across platforms

Hera (Argo)

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Open-source Python SDK for building scalable ML workflows on Argo Workflows

Kedro

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Open-source framework for production-ready data and ML pipelines

Kfp (Kubeflow Pipelines)

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Open-source platform for building and managing ML pipelines at scale

Lightning AI

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Open-source platform for scalable machine learning model development and deployment

Luigi

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Python framework for building complex batch job pipelines with dependency management

Metaflow (Netflix)

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Open-source framework for managing real-life ML, AI, and data science projects

Modular (Mojo)

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Unified AI inference platform optimized from kernel to cloud.

Neptune.ai

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Comprehensive ML experiment tracking and model management platform

OctoML

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Optimizing machine learning model deployment with AI-driven automation

Paperspace (DigitalOcean)

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Cloud GPU platform for scalable AI and machine learning workloads

Polyaxon

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Open source MLOps platform for scalable machine learning on Kubernetes

SageMaker Pipelines

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Serverless ML workflow orchestration for scalable MLOps automation

Seldon

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Open-source platform for scalable machine learning deployment and monitoring

Snorkel AI

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AI data development platform accelerating frontier AI and agentic systems

Spell

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End-to-end machine learning platform for scalable AI model development and deployment

Valohai

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Scalable, cloud-agnostic MLOps platform for automated machine learning workflows

Vertex AI Pipelines

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End-to-end managed machine learning pipelines on Google Cloud.

ZenML

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Unified AI control plane for scalable, reproducible machine learning workflows

Listings are compiled by CIOPages from public sources and are presented in alphabetical order — not ranked, rated, or endorsed. Profiles may be incomplete or out of date. Search & filter this category →

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