Sahara AI: Creating a full-stack decentralized AI ecosystem valued at over $400 million

Sahara AI: Pioneer in the Decentralization AI Field

1. Project Overview

Sahara AI is a full-stack, AI-native Decentralization blockchain platform aimed at building an open AI collaborative economy driven by a global community, with traceable contributions and fair distribution of profits. The core 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.

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Development History

  • Early 2023: Project launch, with the initial idea of creating exclusive "knowledge agents" for experts in different fields.
  • Mid 2023: Completed $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 2025: AI Agent Builder and AI Marketplace enter the public testing phase

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Core Team

  • Sean Ren(CEO): Professor of USC, leading AI collaboration projects for 35 companies
  • Tyler Zhou(COO): Former Director of Binance Labs, introduced traditional capital such as Samsung and Matrix Partners.
  • Technical Team: Members from Google Brain, Fetch.ai, Ocean Protocol, holding multiple patents in distributed machine learning.

2. Technical Architecture and Product Ecosystem

Technical Architecture

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

  • Four-layer architecture: application layer, transaction layer, data layer, and execution layer
  • Hybrid Mode: Key metadata on-chain, large-scale datasets and models off-chain storage
  • Core Main Chain: Self-developed L1 blockchain Sahara Chain, compatible with EVM and optimized for AI computation.
  • Security Certification: Passed SOC2 enterprise-level security and privacy certification

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Product Ecosystem

  • Data Service Platform ( DSP ): Crowdsourced data labeling platform, enabling traceability of the data labeling process on-chain.
  • Sahara Studio: One-stop AI development suite, integrating model fine-tuning, workflow orchestration, and deployment tools
  • AI Exchange: An AI asset trading platform that connects data contributors, model developers, and users.
  • Secure Execution Environment: Execute AI tasks off-chain, verify results on-chain, ensuring data security.

Sahara Deep Report: "Decentralization Ethereum" in the AI field

3. Business Model and Token Economics

Market Strategy

  • Users gain: "Knowledge Airdrop" program and testnet incentive activities, attracting over 1.8 million participants.
  • Brand promotion: Launch on multiple top-tier exchanges, appearing in high-exposure channels such as Binance Alpha.
  • Ecological Incubation: Establish specialized incubators to support AI startup projects based on the Sahara ecosystem.

Sahara Deep Research Report: "Decentralization Ethereum" in the AI field

$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%
  • Purpose: platform service payment, staking to participate in the network, governance voting, transaction fees, etc.

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

4. Development Prospects and Investment Recommendations

Industry Analysis

  • The decentralized AI market is expected to grow from $2.5 billion in 2024 to $80 billion by 2030, with a CAGR of over 60%.
  • Main driving forces: Awakening of data sovereignty awareness, demand for AI transparency, rise of long-tail AI demand

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Competitive Landscape

The main competitors include Bittensor (TAO), Olas (OLAS), and Ritual. The full-stack solution of Sahara AI constitutes a core competitive advantage.

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Development Plan

  • Short-term (1-2 years ): Optimize core technology, promote AI Agent and Marketplace launch, improve token economy.
  • Mid-term ( 3-5 years ): Achieve breakthroughs in cross-chain technology, build a globally leading Decentralization AI ecosystem, and enhance international layout.
  • Long-term (5 years + ): Become a leader in the Decentralization AI field, promoting the popularization and democratization of AI technology.

Sahara深度研报:AI领域的"Decentralization Ethereum"

Investment Advice

Provide investment advice on "cautiously optimistic, buy on dips." Sahara AI is a leading project in the DeAI track with huge long-term potential, but investors need to pay attention to early unlocking selling pressure and the project's roadmap delivery.

  • Long-term investors with a higher risk appetite: can gradually build positions during market pullbacks.
  • Conservative investors: It is recommended to continue monitoring and make decisions after the mainnet launch and the validation of ecosystem data.

Sahara Deep Research Report: "Decentralization Ethereum" in the AI Field

Sahara Deep Report: "Decentralization Ethereum" in the AI Field

Sahara Deep Report: Decentralization Ethereum in the AI Field

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OnchainGossipervip
· 1h ago
It turns out that it has received investment.
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ProbablyNothingvip
· 1h ago
How many suckers can they play for this time?
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LightningLadyvip
· 2h ago
I am optimistic about this BTC.
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0xDreamChaservip
· 2h ago
It feels a bit exaggerated.
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MoonRocketTeamvip
· 2h ago
Wallet is ready, preparing to fuel up to da moon~
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OnchainHolmesvip
· 2h ago
Someone is playing the AI concept to Be Played for Suckers again.
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