
Sapien
A human-powered data labeling platform providing high-quality annotated data for AI model training through a gamified, play-to-earn framework.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
* | $10.5m | Seed | |
Total Funding | 000k |
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Sapien operates as a data labeling platform that connects a distributed network of human workers with companies requiring data for training artificial intelligence models. The business model is centered around a "human-in-the-loop" system where individuals, referred to as AI Workers, use their mobile devices to perform data labeling tasks. These tasks are presented in a gamified format, allowing users to "play" and earn rewards, including cryptocurrency, for their contributions.
The company serves enterprise clients, including prominent names like Alibaba, Baidu, and Midjourney, who need large volumes of accurately labeled data to fine-tune their Large Language Models (LLMs) and other AI systems. Sapien provides data labeling services across various data types, including images, text, audio, and video, and caters to multiple industries such as finance, insurance, logistics, and education technology.
Revenue is generated by charging these enterprise clients for access to high-quality, human-annotated data. The platform emphasizes quality control through methods like statistical sampling and inter-annotator agreement (IAA) to ensure the data meets client specifications. By leveraging a global, crowdsourced workforce, Sapien offers a scalable solution for data annotation, positioning itself as a data foundry for the AI industry.
Keywords: data labeling, human-in-the-loop, AI training data, large language models, data annotation, crowdsourcing, gamification, crypto rewards, data marketplace, machine learning