The AI development platform Sahara is committed to creating an open and fair artificial intelligence economy.

The mission of Sahara AI is to create a more open, fair, and collaborative artificial intelligence economy, enabling people to participate more easily. By leveraging blockchain technology, Sahara ensures that all contributors (, including data providers, annotators, and model developers, can receive fair compensation, while ensuring the sovereignty of data and models, as well as the security of artificial intelligence assets. Additionally, users can create, share, and trade related permissions.

Current Status of AI Technology Stack

The current AI technology stack can be divided into the following layers:

1. Data collection and labeling: Collect data from various sources and annotate it according to specific tasks.

2. Model training and service: Input data into the model, adjust internal parameters to minimize errors, a process that often requires a large amount of computational resources.

3. Creation and deployment of AI agents: It usually requires the use of specialized tools such as TensorFlow, which has high technical requirements.

4. Computing resources: Model training requires expensive processing power.

Although Web2 companies are working in this direction, they face serious limitations due to their centralized design. From both business and technical perspectives, these companies tend to restrict access and isolate various parts of the technology stack, leading to different security standards, database designs, backend integrations, and monetization strategies. This design makes it difficult to adapt to the shift in the artificial intelligence economic model.

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Sahara's AI Collaborative Economy Vision

The Sahara platform aims to provide one-stop services for the entire AI lifecycle, covering all aspects from data collection and labeling, to model training and services, to the creation and deployment of AI agents, multi-agent communication, AI asset trading, and the crowdsourcing of AI resources. By lowering the entry barriers of existing systems, Sahara AI offers equal access to individuals, businesses, and communities, collaboratively building the future of artificial intelligence.

In the Sahara AI ecosystem, the creation, use, and monetization of AI assets is transparent and traceable. All transactions within the platform are immutable and trackable, ownership is protected, and the sources of assets are also recorded. This supports a transparent and fair revenue-sharing model, ensuring that developers and data providers receive appropriate compensation for generating revenue.

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Technological Innovation

The Sahara team strives for simplicity and ease of use in system design, while developing multiple innovative technologies in the backend.

• Sahara Blockchain: Minimizes gas fees to the greatest extent, fully compatible with EVM.
• Sahara Cross-Chain Communication ) SCC ( Protocol: Achieve secure, permissionless data transfer across blockchains.
• Sahara AI-Native Precompiles)SAPs(: Precompiled smart contracts designed to optimize AI task performance.
• Sahara blockchain protocol ) SBPs (: Manage AI assets to ensure accountability.
• Data Management: Combining on-chain and off-chain storage to optimize data retrieval, security, and availability.
• Collaborative Execution Protocol: Supports joint AI model development and deployment across AI training, aggregation, and services.

Team Background and Partners

Sahara is led by USC tenured professor Sean Ren and UC Berkeley alumnus Tyler Z. Team members come from renowned institutions and companies such as Stanford University, UC Berkeley, AI2, Toloka, Stability AI, Microsoft, Google, Chainlink, LinkedIn, and Avalanche.

In addition, Sahara has received advisory support from top AI native researchers and corporate clients, including industry experts such as the Vice Chairman of Motherson Group and the CEO of Together AI.

Currently, Sahara AI has been used by over 35 leading technology innovation projects and research institutions, including Microsoft, Amazon, and MIT, in various areas such as data collection/annotation and personalized domain agents.

Although generative AI is still in its early stages in terms of technology and market scale, Sahara AI, through its modular design and the application of blockchain technology, is expected to become an important force in driving the future development of artificial intelligence, contributing to the creation of an easily accessible and fair AI ecosystem.

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