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Labelbox

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Labelbox is a data-centric platform designed to unlock the potential of generative AI and build intelligent applications. It is trusted by companies of all sizes, from startups to Fortune 500s.

Key Features:

  • Building LLMs: Labelbox provides a unified platform for high-quality data creation, training, and fine-tuning, and human-centric evaluation & alignment of Large Language Models (LLMs).
  • Building Vision: It offers comprehensive data-centric vision tools and services to optimize foundation models and deep-learning models.
  • Using AI: The platform allows users to discover, compare, and apply state-of-the-art AI models, including their own, to automate data labeling and enrichment with foundation models.
  • Data Visualization: Labelbox enables users to visualize any type of data from any data source in one place.
  • Data Enhancement: The platform offers tools to search, sort, and share subsets of data, and group these datasets for AI processing.
  • Data Preparation: Users can apply insights to their data using human and machine-assisted workflows.
  • Model Evaluation: Labelbox helps determine the effectiveness of your data within your AI models.

    • Use Cases:

  • Agriculture: Blue River Technology used model-assisted labeling to reduce labeling costs by 50%.
  • Retail and Ecommerce: Burberry uses Labelbox and Databricks to curate their strategic marketing assets.
  • Technology and Software: Ancestry prioritizes collaboration and training data quality to enable genealogical breakthroughs with ML.
  • Healthcare: Genentech develops a breakthrough labeling process for medical imagery ML.

    • Products:

  • Catalog
  • Annotate
  • Model
  • Boost

    • Solutions:

  • Large language models
  • Financial Services and Insurance
  • Retail & E-commerce
  • Healthcare & Life Sciences
  • Media & Internet
  • Industrial
    • Visit Website

    Labelbox is a data-centric platform designed to unlock the potential of generative AI and build intelligent applications. It is trusted by companies of all sizes, from startups to Fortune 500s.

    Key Features:

  • Building LLMs: Labelbox provides a unified platform for high-quality data creation, training, and fine-tuning, and human-centric evaluation & alignment of Large Language Models (LLMs).
  • Building Vision: It offers comprehensive data-centric vision tools and services to optimize foundation models and deep-learning models.
  • Using AI: The platform allows users to discover, compare, and apply state-of-the-art AI models, including their own, to automate data labeling and enrichment with foundation models.
  • Data Visualization: Labelbox enables users to visualize any type of data from any data source in one place.
  • Data Enhancement: The platform offers tools to search, sort, and share subsets of data, and group these datasets for AI processing.
  • Data Preparation: Users can apply insights to their data using human and machine-assisted workflows.
  • Model Evaluation: Labelbox helps determine the effectiveness of your data within your AI models.

    • Use Cases:

  • Agriculture: Blue River Technology used model-assisted labeling to reduce labeling costs by 50%.
  • Retail and Ecommerce: Burberry uses Labelbox and Databricks to curate their strategic marketing assets.
  • Technology and Software: Ancestry prioritizes collaboration and training data quality to enable genealogical breakthroughs with ML.
  • Healthcare: Genentech develops a breakthrough labeling process for medical imagery ML.

    • Products:

  • Catalog
  • Annotate
  • Model
  • Boost

    • Solutions:

  • Large language models
  • Financial Services and Insurance
  • Retail & E-commerce
  • Healthcare & Life Sciences
  • Media & Internet
  • Industrial

    • Pricing model:

    contact for pricing
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