{
  "slug": "amazon-sagemaker-ground-truth",
  "name": "Amazon SageMaker Ground Truth",
  "description": "Amazon SageMaker Ground Truth is a managed data labeling service that facilitates the creation of highly accurate training datasets for machine learning. It combines automated labeling using machine learning models with a human workforce to annotate text, images, and video.",
  "url": "https://optimly.ai/brand/amazon-sagemaker-ground-truth",
  "logoUrl": "",
  "baiScore": 92,
  "archetype": "Challenger",
  "category": "Cloud Computing / Artificial Intelligence",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "labelbox",
      "name": "Labelbox"
    },
    {
      "slug": "scale-ai",
      "name": "Scale AI"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "scale-ai-remotasks-labelbox",
      "name": "Scale Ai Remotasks Labelbox"
    },
    {
      "slug": "figure-eight",
      "name": "Figure Eight"
    },
    {
      "slug": "snorkel-ai",
      "name": "Snorkel Ai"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-04-10T18:02:58.878+00:00",
  "verifiedVitals": {
    "website": "https://aws.amazon.com/sagemaker/groundtruth/",
    "founded": "2018",
    "headquarters": "Seattle, WA (via AWS)",
    "pricing_model": "Usage-based (per-object pricing and workforce costs)",
    "core_products": "Data labeling for computer vision, natural language processing, and 3D point clouds; Ground Truth Plus (managed service).",
    "key_differentiator": "Deep integration with the AWS machine learning stack (S3, SageMaker) and access to a diverse global workforce of over 500,000 workers.",
    "target_markets": "Data scientists, Machine Learning engineers, Enterprise AI teams.",
    "employee_count": "10,000+ (AWS total)",
    "funding_stage": "Publicly Traded (AMZN)",
    "subcategory": "Data Labeling and Annotation Services"
  },
  "intentTags": {
    "problemIntents": [
      "In-house Manual Labeling: Internal operations teams manually labeling images, text, or video using basic spreadsheets or open-source local scripts.",
      "Data Labeling Agencies: Contracting specialized data labeling firms or BPO (Business Process Outsourcing) companies to handle data annotation."
    ],
    "solutionIntents": [
      "AWS data labeling service",
      "how to label images for machine learning on AWS",
      "managed data annotation platform",
      "best data labeling tool for small startups",
      "human in the loop machine learning services",
      "Open-Source Annotation Tools: Using open-source tools like CVAT, LabelImg, or Label Studio to manage the annotation process without a managed service."
    ],
    "evaluationIntents": [
      "Sagemaker Ground Truth vs Labelbox"
    ]
  },
  "timestamp": 1777138136097
}