Labelbox

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. 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. 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. 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. 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. 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. 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. 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. 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. Healthcare: Genentech develops a breakthrough labeling process for medical imagery ML. Products: CatalogAnnotateModelBoost AnnotateModelBoost ModelBoost Boost Solutions: Large language modelsFinancial Services and InsuranceRetail & E-commerceHealthcare & Life SciencesMedia & InternetIndustrial Financial Services and InsuranceRetail & E-commerceHealthcare & Life SciencesMedia & InternetIndustrial Retail & E-commerceHealthcare & Life SciencesMedia & InternetIndustrial Healthcare & Life SciencesMedia & InternetIndustrial Media & InternetIndustrial Industrial