{
  "slug": "labellerr",
  "name": "Labellerr",
  "description": "Labellerr offers an AI-powered data labeling engine designed to help AI teams quickly and accurately prepare high-quality training data for Vision, NLP, and LLM models. It features automated annotation, advanced analytics, and smart quality assurance to accelerate model development and ensure AI deployment readiness with an efficient data pipeline.",
  "url": "https://optimly.ai/brand/labellerr",
  "websiteUrl": "https://labellerr.com/",
  "logoUrl": "https://logo.clearbit.com/labellerr.com",
  "baiScore": 55,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "AI Data Annotation & Labeling Tools",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-09-11T06:16:18.427Z",
  "verifiedVitals": {
    "website": "https://labellerr.com",
    "category": "AI/ML Data Labeling, AI Data Preparation, Computer Vision, Natural Language Processing (NLP), Large Language Models (LLM)",
    "what_it_does": "Labellerr helps AI teams prepare high-quality labels 99x faster for Vision, NLP, and LLM models, enabling 10x faster AI deployment and an easier data pipeline. Its data labeling engine utilizes automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of videos in a few weeks. The platform supports various data types including images, videos, text, audio, PDFs, DICOM, and LiDAR, and offers features like model-assisted labeling and active learning.",
    "primary_audience": "AI teams, small teams, researchers, small businesses, and enterprises.",
    "core_product": "A data annotation platform/engine and data labeling tool, with managed labeling services also available.",
    "parent_ownership": "Labellerr's parent company is Tensor Matics Inc., a privately owned US-headquartered organization."
  },
  "intentTags": null,
  "businessProfileClaims": [],
  "timestamp": 1789797872449
}