Labelbox (Human-in-the-Loop Moderation)

Labelbox is a data-centric AI platform that provides a comprehensive suite of tools and services for creating, managing, and optimizing high-quality training data for machine learning applications. It supports various data types including images, videos, text, audio, and geospatial data, offering advanced annotation tools, workflow automation, quality control systems, and model evaluation capabilities. Labelbox facilitates human-in-the-loop processes, allowing organizations to build, operate, and scale their AI data factories to develop intelligent applications efficiently.

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Vendor Details

The data factory for AI teams, enabling high-quality training data for frontier and task-specific models.

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Pillar
Social Media Management & Operations
Primary SITech Category
Social Moderation
2nd SubCat
Image Intelligence
3rd SubCat
Text Analytics
Tech Category
Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Generative AI
Data Coverage
Geospatial & Location Data
E-commerce & Retail Data
Healthcare & Medical Data
Business & Firmographic (B2B) Data
LLM Search Data
Data Sources
First-Party Data Upload
AI/GenAI Type
AI Agents & Automation
Computer Vision AI (Image & Video)
Natural Language & Conversational AI
Audio & Speech AI
Geographic Coverage
Global / Worldwide
Specialized Industries
Retail & E-commerce
Healthcare & Life Sciences
Technology & Software
HQ Location
North America

Company Info

Labelbox is a data-centric AI platform that provides a comprehensive suite of tools and services for creating, managing, and optimizing high-quality training data for machine learning applications. It supports various data types including images, videos, text, audio, and geospatial data, offering advanced annotation tools, workflow automation, quality control systems, and model evaluation capabilities. Labelbox facilitates human-in-the-loop processes, allowing organizations to build, operate, and scale their AI data factories to develop intelligent applications efficiently.