Sahara AI: Building Decentralization Infrastructure in the AI Field

1. Project Introduction

1. Basic Information of the Project

Sahara AI is a full-stack, AI-native Decentralization blockchain platform. Its vision is to build an open AI collaborative economy driven by a global community, contributing to traceable and fairly distributed earnings. The mission of the project is to provide transparent attribution, complete ownership control, and efficient on-chain monetization channels for AI assets 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.

2. Project Development History

• Early 2023: Project launched, initial concept was to build a dedicated "knowledge agent". Later adjusted direction, focusing on building an ecosystem around data.

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

• 2024: Progress in technology research and development and ecosystem construction, partnerships established with Microsoft, Amazon, and others.

• August 2024: Secured $43 million in Series A funding, led by Pantera, a certain exchange platform's lab, and Polychain Capital.

• June 2025: AI Agent Builder and AI Marketplace enter public testing phase.

3. Core Issues and Solutions

Sahara AI proposes a systematic solution based on blockchain to address the 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, breaking the monopoly of data and models
• Utilize the immutability of blockchain to trace contributions
• Provide standardized development tools to lower collaboration barriers

4. Core Team Background

• CEO Sean Ren: Professor of the University of Southern California, MIT TR35 Innovator
• COO Tyler Zhou: Former Investment Director of a trading platform laboratory
• Technical Team: from Google Brain, Fetch.ai, Ocean Protocol, etc.

2. Business Model

1. Platform Architecture and Core Technology

Sahara AI adopts a hybrid blockchain architecture optimized for AI scenarios:

• Four-layer structure: application layer, transaction layer, data layer, and execution layer
• Hybrid mode: metadata on-chain, massive data off-chain
• Self-owned L1 main chain Sahara Chain: EVM compatible, optimized for AI computation
• Achieved SOC2 enterprise-level security and privacy certification

2. Product Ecosystem

Sahara AI has built a complete product ecosystem:

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

Currently, it has attracted over 200,000 global AI trainers and completed over 3 million data annotation tasks.

3. Market Entry and Growth Strategy

• User Acquisition: Innovative "Knowledge Airdrop" program attracts over 1.8 million users to sign up
• Brand Strategy: Quickly land on mainstream exchanges to gain widespread market attention
• Ecological incubation: establish specialized incubators to support ecological projects

4. $SAHARA Token Economic Model

• Total Supply: 10 billion coins
• Core Uses: Payment, Staking, Governance, Transaction Fees, Incentives
• 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 AI 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%. The market demand mainly comes from:

• Awakening of data sovereignty awareness
• The requirements for AI transparency and fairness have increased
• The rise of long-tail AI demand

2. Competitive Landscape Analysis

The main competitors include Bittensor, Olas, and Ritual. Sahara AI's full-stack solution creates a significant differentiation advantage.

3. Development Plan

Short term ( 1-2 years ):

• Optimize core technology architecture
• Improve AI Agent Builder and Marketplace
• Optimize token economic model

Medium term ( 3-5 years ):

• Achieve breakthroughs in cross-chain technology
• Build a globally leading Decentralization AI ecosystem
• Expand international market development

Long-term (5 years ):

• 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

4. Conclusion

1. Core Conclusion

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

2. Valuation and Investment Recommendations

• Valuation analysis: Listed at approximately $6 billion FDV, which is at a relatively high level in the industry.
• Investment Advice: Cautiously Optimistic, Buy on Dips

3. Outlook

Sahara AI has the potential to become the underlying operating system of the future decentralized intelligent economy, and its development will have a profound impact on the entire industry, which is worthy of great attention.