{
  "slug": "azure-automated-machine-learning-automl",
  "name": "Azure Automated Machine Learning (AutoML)",
  "description": "Azure Automated Machine Learning (AutoML) is a cloud-based service provided by Microsoft that automates the time-consuming, iterative tasks of machine learning model development. It enables data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity while sustaining model quality.",
  "url": "https://optimly.ai/brand/azure-automated-machine-learning-automl",
  "logoUrl": "",
  "baiScore": 92,
  "archetype": "Challenger",
  "category": "Cloud Computing",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "aws-sagemaker-autopilot",
      "name": "Aws Sagemaker Autopilot"
    },
    {
      "slug": "datarobot",
      "name": "DataRobot"
    },
    {
      "slug": "google-cloud-vertex-ai-automl",
      "name": "Google Cloud Vertex AI AutoML"
    }
  ],
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "microsoft",
    "name": "Microsoft"
  },
  "subBrands": [],
  "updatedAt": "2026-04-11T16:03:32.415+00:00",
  "verifiedVitals": {
    "website": "https://azure.microsoft.com/en-us/products/machine-learning/automatedml/",
    "founded": "2018",
    "headquarters": "Redmond, WA",
    "pricing_model": "Usage-based (charged for compute and storage used during training)",
    "core_products": "Automated Model Selection, Hyperparameter Tuning, Feature Engineering, Managed Compute for training.",
    "key_differentiator": "Deep integration with the broader Microsoft ecosystem (Power BI, Excel, Fabric) and the ability to switch between no-code UI and code-first SDK workflows.",
    "target_markets": "Data Scientists, ML Engineers, Business Analysts, Enterprise IT teams.",
    "employee_count": "10,000+ (Azure division)",
    "funding_stage": "Public",
    "subcategory": "Artificial Intelligence & Machine Learning"
  },
  "timestamp": 1775991130718
}