Sahara AI is an AI public chain for "AI development" and "AI data/model assetization". From day one, it allows users to co-create infrastructure and obtain real value through data annotation.

Sahara AI is a decentralized AI blockchain platform that aims to transform the development, deployment and monetization of AI assets (including AI models, data sets, intelligent agents, etc.) through the pioneering AI asset concept and proprietary infrastructure. Whether you are a professional developer, entrepreneur, or ordinary AI enthusiast, you can easily build or deploy personalized AI products based on the Sahara AI platform and obtain real benefits by contributing data, developing models, or deploying AI assets. This unique design not only lowers the entry threshold of AI, but also builds a more democratic and fair AI collaborative ecosystem, allowing every participant to share the dividends of industry growth.

Traditionally, the opportunity to influence AI development is limited to developers. But with Sahara AI, anyone can participate and directly influence the AI ​​ecosystem, helping to build a new generation of AI that is more fair and user-centric. As AI advances, its data needs are becoming more complex.

Tasks that once involved labeling objects or simple classifications have evolved into nuanced processes such as sentiment annotation, multimodal data alignment, and curating domain-specific datasets. These tasks require thoughtfulness, expertise, and precision to ensure high-quality results. The Sahara AI Data Services Platform aims to address these challenges by leveraging a diverse, decentralized global network of labelers. By contributing knowledge, users will help lay the foundation for a fairer, user-centric AI ecosystem while also being rewarded

Developers can access trusted models and datasets through Sahara AI, annotate and optimize datasets to speed up development and ensure high-quality input data.

The core team of Sahara AI is composed of senior experts from the AI ​​and Web3 industries, with past resumes including Stanford University, University of Southern California, University of California, Berkeley, AI2, Microsoft, Binance, Stability AI, Google, Protocol Labs, and Avalanche.

The team members have incorporated these rich cross-domain experiences into the design and development of Sahara AI, laying a solid technical and strategic foundation for the platform.

Sean Ren (@xiangrenNLP): Professor of AI and Chairman of the Viterbi Center at the University of Southern California, with a deep academic background and AI technology research experience.

Tyler Zhou (@tz_sahara): Former Investment Director of Binance Labs, with a deep understanding and insight into blockchain ecology and Web3 investment.

Sahara AI has not only received support from institutional investors, but also received support and guidance from leading figures in the AI ​​industry and academia, including Laksh Vaaman Sehgal, Vice Chairman of the Motherson Group, Rohan Taori, Anthropic scientist who developed the Claude large language model, Vipul Prakash, CEO of Together AI, and Elvis Zhang, founding member of Midjourney, co-founder of Nous Research Teknium.

This year, it received $43 million in financing led by Pantera Capital, Binance Labs, and Polychain Capital, including corporate strategic investments from Samsung and Siam Commercial Bank of Thailand.

The value of AI data annotation lies in providing accurate training data, which is the key to improving the accuracy and performance of artificial intelligence models. Accurate annotation helps the model better understand and process information, so that it performs better in practical applications. This is the core of Sahara AI.

The project owner said that with the continuous optimization of Sahara AI, more products for public participation will be launched in the future.

Sahara AI is an AI public chain for "AI development" and "AI data/model assetization". From day one, it allows users to co-create infrastructure and obtain real value through data annotation.

Sahara AI is a decentralized AI blockchain platform that aims to transform the development, deployment and monetization of AI assets (including AI models, data sets, intelligent agents, etc.) through the pioneering AI asset concept and proprietary infrastructure. Whether you are a professional developer, entrepreneur, or ordinary AI enthusiast, you can easily build or deploy personalized AI products based on the Sahara AI platform and obtain real benefits by contributing data, developing models, or deploying AI assets. This unique design not only lowers the entry threshold of AI, but also builds a more democratic and fair AI collaborative ecosystem, allowing every participant to share the dividends of industry growth.

Traditionally, the opportunity to influence AI development is limited to developers. But with Sahara AI, anyone can participate and directly influence the AI ​​ecosystem, helping to build a new generation of AI that is more fair and user-centric. As AI advances, its data needs are becoming more complex.

Tasks that once involved labeling objects or simple classifications have evolved into nuanced processes such as sentiment annotation, multimodal data alignment, and curating domain-specific datasets. These tasks require thoughtfulness, expertise, and precision to ensure high-quality results. The Sahara AI Data Services Platform aims to address these challenges by leveraging a diverse, decentralized global network of labelers. By contributing knowledge, users will help lay the foundation for a fairer, user-centric AI ecosystem while also being rewarded

Developers can access trusted models and datasets through Sahara AI, annotate and optimize datasets to speed up development and ensure high-quality input data.

The core team of Sahara AI is composed of senior experts from the AI ​​and Web3 industries, with past resumes including Stanford University, University of Southern California, University of California, Berkeley, AI2, Microsoft, Binance, Stability AI, Google, Protocol Labs, and Avalanche.

The team members have incorporated these rich cross-domain experiences into the design and development of Sahara AI, laying a solid technical and strategic foundation for the platform.

Sean Ren (@xiangrenNLP): Professor of AI and Chairman of the Viterbi Center at the University of Southern California, with a deep academic background and AI technology research experience.

Tyler Zhou (@tz_sahara): Former Investment Director of Binance Labs, with a deep understanding and insight into blockchain ecology and Web3 investment.

Sahara AI has not only received support from institutional investors, but also received support and guidance from leading figures in the AI ​​industry and academia, including Laksh Vaaman Sehgal, Vice Chairman of the Motherson Group, Rohan Taori, Anthropic scientist who developed the Claude large language model, Vipul Prakash, CEO of Together AI, and Elvis Zhang, founding member of Midjourney, co-founder of Nous Research Teknium.

This year, it received $43 million in financing led by Pantera Capital, Binance Labs, and Polychain Capital, including corporate strategic investments from Samsung and Siam Commercial Bank of Thailand.

The value of AI data annotation lies in providing accurate training data, which is the key to improving the accuracy and performance of artificial intelligence models. Accurate annotation helps the model better understand and process information, so that it performs better in practical applications. This is the core of Sahara AI.

The project owner said that with the continuous optimization of Sahara AI, more products for public participation will be launched in the future.