Labelbox - Data-centric AI Platform for Building Intelligent Applications
Labelbox Features
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