© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Data-centric AI platform for training data
Founded by: Manu Sharma, Brian Rieger, Daniel Wilson
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Labelbox with 497,720 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/labelbox?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Data-centric AI platform for training data
Estimated Company Size
501 - 1000 employees
Website
labelbox.comFunding data not available for this company. AI-Buzz focuses on developer adoption data like package downloads and GitHub activity.
Founded
2018
Description
Labelbox provides a data-centric AI platform that helps machine learning teams manage, curate, and label unstructured data to build and improve AI models. It streamlines the entire training data pipeline, from data annotation to model debugging, enabling faster and more accurate AI development. The platform is crucial for organizations looking to operationalize their AI initiatives by ensuring high-quality data powers their models.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Package download volume indicates real-world adoption and integration into production projects.
Read in-depth analysis and news about Labelbox on AI-Buzz.
Browse articles on AI-BuzzAI-powered labeling tools for images, video, text, and other data types to create high-quality training datasets.
A data management and curation solution for unstructured data, enabling teams to discover, organize, and prepare data for AI training.
Tools for monitoring, debugging, and improving the performance of machine learning models by analyzing data and model predictions.
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Package downloads and ecosystem metrics — 30-day window
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