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 break the current landscape of artificial intelligence dominated by a few large tech companies, and to build an open AI collaborative economy driven by a global community, where contributions can be accurately traced and profits can be fairly distributed.

The project is dedicated to providing transparent attribution, complete ownership control, and efficient on-chain monetization channels for AI assets (including datasets, models, and agents) through blockchain technology. Sahara AI aims to become the "Ethereum of the AI field," providing a 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 an initial concept of creating a dedicated "knowledge agent" for experts in various fields. The direction was then adjusted to focus on the core element of "data," utilizing Web3 incentive mechanisms to begin building the ecosystem.

• Mid-2023: Completed a $6 million seed round financing led by Polychain Capital.

• 2024: Collaborate with major companies such as Microsoft and Amazon to secure relevant orders.

• August 2024: Secured $43 million in Series A funding led by Pantera, Binance Labs, and Polychain Capital.

• June 26, 2025: 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 key pain points currently faced by the centralized AI industry, such as data islands, ambiguous model ownership, high innovation costs, and unfair value distribution.

• Establish a Decentralization market that allows anyone to register and trade AI assets on the chain.
• Utilize the immutability of blockchain to record each contribution, achieving transparent and automated profit distribution.
• Provide standardized development tools, lower the development threshold, and promote collaborative innovation on a global scale.

4. Core Team Background

• Sean Ren (CEO): Professor of the University of Southern California, MIT TR35 Innovator
• Tyler Zhou (COO): Former Investment Director of Binance Labs
• Technical Team: Members from Google Brain, Fetch.ai, Ocean Protocol

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 technology architecture: 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.
• Sahara Chain: A proprietary L1 blockchain under development, compatible with EVM and optimized for AI-related computations.
• Security Certification: Achieved SOC2 enterprise-level security and privacy certification

2. Product Ecosystem

• Data Service Platform (DSP): Crowdsourced Data Annotation Platform
• Sahara Studio: One-stop development kit
• AI Exchange: AI Asset Trading Platform
• Secure Execution Environment: Ensuring the security of sensitive data

Currently, the platform has attracted over 200,000 global AI trainers, completing more than 3 million data annotation tasks in total.

3. Market Entry and Growth Strategies

• User Acquisition: Launch the "Knowledge Airdrop" program and Testnet incentive activities
• Brand and Market: Launch on multiple top-tier exchanges, making an appearance in high-exposure channels.
• Ecological Incubation: Establish specialized incubators to support AI startups developed based on its ecosystem.

4. $SAHARA Token Economic Model

• Total supply: 10 billion pieces
• Allocation Ratio:
  • Community and Ecosystem Development (64.25%)
  • Core Contributors (15%)
  • Early supporters (19.75%)
  • Liquidity and Market Stability (1%)
• Token generation and listing: Launched on multiple mainstream exchanges worldwide in June 2025.

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. Sahara AI's full-stack solution constitutes its core competitive advantage.

3. Development Plan

Short-term (1-2 years):

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

Mid-term (3-5 years):

• Achieve breakthroughs in cross-chain technology
• Build a globally leading Decentralization AI ecosystem
• Strengthen the efforts to expand into international markets

Long-term (more than 5 years):

• Become a leader in the Decentralization AI field
• Exploring new application scenarios for the integration of AI and Decentralization
• Build a highly prosperous and diversified ecosystem

4. Summary

1. Core Conclusion

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

2. Valuation and Investment Advice

• Valuation Analysis: Listing with an FDV of approximately $6 billion, at a higher level within the DeAI sector.
• Investment advice: cautiously optimistic, buy on dips

3. Outlook

Sahara AI has the potential to become the underlying operating system for the future Decentralization intelligent economy, and its success will have a profound impact on the entire industry, accelerating the popularization and democratization of AI technology, and giving rise to new business models and application scenarios.