As an innovative project focusing on the integration of AI and Web3, Sahara is attempting to forge a decentralized path in a landscape dominated by centralized AI giants. Its core vision is to break down the monopolistic barriers of AI technology, allowing ordinary users to participate in the development, collaboration, and value distribution of AI, building a more open AI ecosystem.

Sahara AI: The blockchain revolutionary reconstructing AI value ownership within the Binance ecosystem

At the forefront of the intersection of AI and blockchain technology, Binance's newly launched Sahara AI project is centered around a 'decentralized AI economic system,' sparking a paradigm revolution concerning AI ownership and value distribution. Unlike traditional AI platforms that monopolize data, models, and computing power, Sahara AI builds a transparent, collaborative, and benefit-sharing ecosystem through blockchain technology, allowing individual developers, data contributors, and even ordinary users to occupy a central position in the AI value chain.

Why is SAHARA so formidable?

Sahara AI positions itself as a full-stack, AI-native decentralized blockchain platform. Its core vision is to break the current landscape dominated by a few large tech companies in artificial intelligence (AI), aiming to build an open AI collaborative economy driven by the global community, where contributions can be precisely traced and benefits can be fairly distributed.

The fundamental mission of the project is to leverage blockchain technology to provide transparent attribution, complete ownership control, and efficient on-chain monetization channels for AI assets (including datasets, models, and agents). Essentially, Sahara AI aims to become the 'Ethereum of AI,' providing secure and trusted underlying infrastructure for a new generation of decentralized AI applications, returning ownership and value of data and AI innovations to every creator and contributor.

The project was initiated in 2023, with 892.3K followers, a large community, and recently, the Binance alpha hype has triggered a wave, with almost all mainstream exchanges listing it!

Currently, the circulating market value is $201 million, with 21.24% circulation and daily trading volume exceeding $500 million!

Basically, it remains among the top five altcoins in terms of trading volume; after missing the first day's surge, patience is needed moving forward!

Let's take a look at how SAHARA AI performs in other aspects!

Project Development History:
Early 2023: The project officially launched, with an initial idea to create bespoke 'Knowledge Agents' for experts in different fields, fine-tuning basic models by incorporating individual experience data and providing services externally to gain returns. However, due to the high development threshold for experts in different fields, the team later adjusted its direction, focusing on 'data' as the core element, using Web3 incentive mechanisms to begin constructing an ecosystem composed of data contributors, model developers, node validators, application developers, and downstream users.

Mid-2023: Completed a $6 million seed round financing led by Polychain Capital. This financing not only provided financial support for the project's early development but also marked the recognition of Sahara AI's innovative model by professional investment institutions, initially establishing the project's influence in the market and attracting more attention from industry professionals, laying a good foundation for subsequent development.

2024: Sahara AI has made significant progress in technological research and ecosystem development. After its platform launch, it quickly gained market recognition, establishing partnerships with major companies like Microsoft and Amazon, securing relevant orders. These collaborations not only validate the technical strength and commercial value of the Sahara AI platform but also bring actual business revenue and rich application scenarios, further promoting project development.

August 2024: Official announcement of $43 million in Series A financing led by Pantera, Binance Labs, and Polychain Capital. This substantial round of financing is a significant affirmation of the Sahara AI project, with participation from many well-known investment institutions, fully demonstrating the market's high expectations for its future development potential. The influx of funds accelerates the project’s technological research and development process, aids the team in scaling up, and drives the rapid expansion and improvement of the ecosystem.

From early 2025 to now: Continuing to promote the implementation of the platform's product matrix. On June 26, 2025, the official announcement stated that its AI Agent Builder and AI Marketplace officially entered the public testing phase. The Agent Builder allows users to quickly build, deploy, and own their AI agents based on their ideas without the need for coding or configuration; the concurrently launched Sahara AI Marketplace is a curated platform for open-source models and datasets, allowing users to directly integrate the assets they need into the building process without having to switch to external platforms like GitHub or Hugging Face. The platform's trading functions and monetization mechanisms are also planned to be launched soon. This series of product launches marks the gradual maturation of Sahara AI's ecosystem, transitioning from the proof-of-concept phase to practical application, providing users with more convenient and efficient AI development and application services.


Team Background

Sean Ren (CEO): Tenured professor at the University of Southern California, MIT TR35 innovator, leading AI collaboration projects for 35 companies such as Microsoft and Amazon.

Tyler Zhou (COO): Former investment director of Binance Labs, leading the $43 million Series A financing, bringing in traditional capital such as Samsung and Matrix Partners.

Technical Team: Members come from Google Brain, Fetch.ai, Ocean Protocol, and hold multiple distributed machine learning patents.



Business Model

1. Platform Architecture and Core Technology

To balance decentralization, security, and efficiency, Sahara AI adopts a hybrid blockchain architecture optimized for AI application scenarios. This architecture achieves a delicate balance between ensuring the transparency and trustworthiness of on-chain operations and the efficiency and low cost of off-chain computations.

ØTechnical Architecture: The platform is built on a unique four-layer structure, including application layer, transaction layer, data layer, and execution layer, ensuring modularity and scalability.

ØHybrid Model: Key metadata (such as ownership, licensing, transaction records) is recorded on-chain to ensure its public, transparent, and immutable nature. Meanwhile, large-scale datasets and AI models themselves are stored off-chain to meet high-performance, low-latency computing needs.

ØCore Main Chain: The project is developing its own first-layer (L1) blockchain—Sahara Chain. This chain is not only compatible with the Ethereum Virtual Machine (EVM) to facilitate developer migration but also features pre-compiled optimizations for AI-related computations (such as zero-knowledge proof verification), significantly improving performance and reducing on-chain operation costs.

ØSecurity Certification: The platform has passed rigorous SOC2 enterprise-level security and privacy certification, demonstrating that it meets high industry standards in data security and management, laying a foundation of trust for enterprise-level applications.


Product Ecosystem

Sahara AI is committed to providing lifecycle tools from data processing, model development to asset trading, building a fully functional, self-sufficient ecological closed loop to meet the diverse needs of different roles within the ecosystem.

ØData Service Platform (DSP): As one of the essential infrastructures of the ecosystem, DSP provides data contributors with a convenient crowdsourced data annotation platform. It simplifies the data annotation process, allowing anyone to easily participate in data annotation tasks. Additionally, utilizing blockchain technology, DSP achieves on-chain traceability of the data annotation process, ensuring that the source and operation of every annotated data point are clearly recorded. This not only increases the credibility of the data but also provides a basis for subsequent data use and rights distribution.

ØSahara Studio: This is a powerful one-stop development suite that provides comprehensive support for model developers. As mentioned earlier, it integrates various functions such as model fine-tuning, workflow orchestration, and deployment tools, significantly lowering the difficulty and threshold of model development and improving development efficiency. Developers can focus more on innovation and optimization of models on this platform without spending a lot of time and energy on complex technical environment setup and tool integration.

ØAI Exchange: The AI Exchange is an important bridge connecting data contributors, model developers, and users. On this platform, developers can authorize or sell the AI models, datasets, and other AI assets they have developed, thereby monetizing their assets. Users can purchase or lease the AI assets they need from the exchange based on their requirements for their project development or practical applications. The existence of the AI Exchange promotes the circulation and trading of AI assets, stimulates market vitality, and injects powerful development momentum into the entire ecosystem.

ØSecure Execution Environment: Given the high demands for data security and privacy protection during the development and application of AI, Sahara AI has constructed a secure execution environment. In this environment, AI tasks are executed off-chain, while the execution results are verified on-chain, effectively safeguarding the security of sensitive data. This combination of off-chain execution and on-chain verification fully utilizes the efficiency of off-chain computing and leverages the advantages of blockchain technology in data verification and storage, providing users with a secure and reliable environment for AI development and application.

Currently, the platform has attracted over 200,000 global AI trainers, completing more than 3 million data annotation tasks, initially demonstrating the activity and potential of its community.


Global AI Market Potential:
According to market analysis, the global decentralized AI market is expected to experience explosive growth. From about $2.5 billion in 2024, it is projected to exceed $80 billion by 2030, with a compound annual growth rate (CAGR) expected to exceed 60%.


The market potential is enormous, and compared to competitors, it possesses certain advantages; details can be found on the official website!

The FDV reached a valuation of $6 billion before its launch, but at this moment, the price calculation indicates that FDV has reached $10 billion. In the current market where altcoins are relatively weak, this valuation is still somewhat high. Although there is a clear development plan for the next five years, we must understand that the market is constantly changing, especially in this era of rapid technological advancement; a static plan cannot replace the absolute explosive growth of the next five years!

Therefore, while recognizing its advantages, it is also essential to ensure the ability to respond to market changes at all times with the development of the market!

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