Sahara AI: Building Decentralization Infrastructure in the AI Field

1. Project Introduction

1. Project Basic Information

Sahara AI is a full-stack, AI-native Decentralization blockchain platform. Its core vision is to build an open AI collaborative economy driven by a global community, where contributions can be accurately traced and benefits can be fairly distributed.

The fundamental mission of the project is to provide transparent attribution, complete ownership control, and efficient on-chain monetization channels for AI assets through blockchain technology. Essentially, Sahara AI is committed to becoming the "Ethereum of the AI field", providing secure and trustworthy underlying infrastructure for the next generation of decentralized AI applications, ultimately returning the ownership and value of data and AI innovations to every creator and contributor.

2. Project Development History

• Early 2023: The project officially launched, with the initial idea of creating dedicated "knowledge agents" for experts in various fields.
• Mid 2023: Completed a $6 million seed round financing led by Polychain Capital.
• 2024: Collaborate with major companies such as Microsoft and Amazon to obtain relevant orders.
• August 2024: Official announcement of securing $43 million in Series A funding.
• June 26, 2025: The AI Agent Builder and AI Marketplace officially enter the public testing phase.

3. Core Issues and Solutions

Sahara AI proposes a systematic solution based on blockchain to address the pain points of the current centralized AI industry:

• Solve data and model monopolies: Establish a decentralized market that allows anyone to register and trade AI assets on-chain.
• Solve the issue of untraceable contributions: Utilize blockchain to record every contribution, providing a foundation for transparent and automated benefit distribution.
• Reduce collaboration barriers: Provide standardized development tools to lower the development threshold and promote collaborative innovation globally.

4. Core Team Background

• Sean Ren (CEO): Professor at the University of Southern California, MIT TR35 Innovator.
• Tyler Zhou (COO): Former Investment Director of Binance Labs.
• Technical Team: Members come from Google Brain, Fetch.ai, Ocean Protocol, and hold multiple patents in distributed machine learning.

2. Business Model

1. Platform Architecture and Core Technology

Sahara AI adopts a hybrid blockchain architecture optimized specifically for AI application scenarios, including:

• Four-layer structure: application layer, transaction layer, data layer, and execution layer.
• Hybrid mode: Key metadata is recorded on-chain, while large-scale datasets and AI models are stored off-chain.
• Core Main Chain: Developing its own L1 blockchain Sahara Chain, compatible with EVM and optimized for AI-related computations.
• Security Certification: Has passed SOC2 enterprise-level security and privacy certification.

2. Product Ecosystem

Sahara AI's product ecosystem includes:

• Data Service Platform (DSP): Crowdsourced data labeling platform.
• Sahara Studio: One-stop development suite.
• AI Exchange: AI Asset Trading Platform.
• Secure Execution Environment: Ensure the secure execution of AI tasks.

3. Market Entry and Growth Strategy

• User Acquisition: Launch the "Knowledge Airdrop" program and testnet incentive activities.
• Brand and Market: Launch on multiple top-tier exchanges and appear in high-exposure channels.
• Ecosystem Incubation: Establish dedicated incubators to support AI startup projects developed based on its ecosystem.

4. $SAHARA Token Economic Model

• Total Supply: 10 billion pieces
• Allocation Plan:
  • Community and Ecosystem Development: 64.25%
  • Core Contributors: 15%
  • Early supporters: 19.75%
  • Liquidity and Market Stability: 1%

3. Project Prospects

1. Industry Analysis

The decentralized artificial intelligence market is expected to experience explosive growth, increasing from approximately $2.5 billion in 2024 to over $80 billion by 2030, with a CAGR of over 60%.

2. Competitive Landscape Analysis

The main competitors include Bittensor (TAO), Olas (OLAS), and Ritual, while Sahara AI has an advantage in full-stack solutions.

3. Development Plan

Short term (1-2 years):

• Optimize the core technology architecture
• Promote the official launch of AI AgentBuilder and AI Marketplace
• Improve the SAHARA token incentive mechanism

Medium term (3-5 years):

• Achieve breakthroughs in cross-chain technology
• Build a globally leading Decentralization AI ecosystem
• Increase market promotion efforts and expand into overseas markets

Long-term (5 years or more):

• Become a leader in the Decentralization AI field
• Explore new application scenarios for the integration of AI and Decentralization.
• Promote the popularization and democratization of AI technology

IV. Conclusion

1. Core conclusion

• Accurate positioning, grand vision
• Full-stack solutions form the core barrier
• The team has strong capital strength.
• The token economic model is designed reasonably.

2. Valuation and Investment Recommendations

• Valuation: Approximately $6 billion fully diluted valuation (FDV)
• Investment advice: cautiously optimistic, accumulate on dips

3. Outlook

Sahara AI has the potential to become the underlying operating system for the future decentralized intelligent economy, and its development will have a profound impact on the entire AI and Web3 industry.