© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Data labeling and AI infrastructure platform
Founded by: Alexandr Wang, Lucy Guo
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Scale AI with 21% positive developer sentiment (24 HN comments analyzed), with 62,763 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/scale-ai?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 labeling and AI infrastructure platform
Estimated Company Size
1000 - 5000 employees
Website
scale.comFounded
2016
Description
Scale AI provides a comprehensive platform for data labeling, annotation, and model evaluation, crucial for training and improving AI systems. They enable companies to build, fine-tune, and deploy AI models, particularly in areas like computer vision, NLP, and generative AI, by ensuring high-quality data inputs. Their services are vital for advancing AI development across various industries.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Package download volume indicates real-world adoption and integration into production projects.
An end-to-end platform for data-centric AI development, providing tools for data collection, annotation, and model evaluation.
A powerful data annotation tool designed for computer vision, natural language processing, and generative AI tasks.
A service that uses human-in-the-loop methods to optimize and improve the performance of large language models (LLMs).
A platform for building, evaluating, and fine-tuning generative AI models using high-quality, human-annotated data.
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Package downloads and ecosystem metrics — 30-day window
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