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