Through in-depth research on more than 100 AI tokens, we share 10 of the most valuable and promising AI projects.

Author: Rocky

The AI track is the biggest narrative of this cycle, and the exploration of the AI track has brought us millions of dollars in revenue.

If you missed out on $0.5 for #RNDR (Render)

Missed out on $6 for #LPT

Missed out on $10 for #TAO

Then you definitely can't miss them

Multiple consulting agencies predict that by 2030, the #AI market growth scale will reach approximately $20 trillion.

Isn't that shocking?

Just imagine, if even 5%-10% of that flows into cryptocurrency…

Token prices will soar.

Here are some key industry advancements affecting the #Web3+ #AI field:

• BlackRock and Microsoft plan to establish a $30 billion fund to invest in AI infrastructure
• Elon Musk's competition with OpenAI's xAi
• Coinbase CEO announces artificial intelligence now using cryptocurrency to pay other artificial intelligence
• GPT-5 and SORA expected to launch next year

AI's potential search attention has seen a huge increase in the past few years, far exceeding #BTC.

We conducted in-depth research on over 100 #AI tokens.

This includes projects that have launched TGE, as well as projects that have not yet launched TGE.

But they all have tremendous potential, and we share the most valuable and promising #AI projects we have listed!

1.$SPEC( @Spectral_Labs)

Spectral is a Web3 decentralized economic intelligence network that uses zero-knowledge machine learning (zkML), unique verification processes, and an easy-to-use advanced software development kit to provide an economically efficient, high-quality machine learning (ML) and artificial intelligence (AI) inference method for smart contracts.

Their flagship product, Spectral SYNTAX, is a language model that converts natural language into Solidity code, allowing users to create their own on-chain agents.

• Price: $8.6
• MC Market Cap: $100 million
• FDV Market Cap: $8.6 billion
• Financing: $30 million
• Institutions: General Catalyst, Social Capital, Galaxy, Samsung Next, Jump Capital, Franklin Templeton, Circle Ventures, etc.

2.$IO( @ionet)

http://io.net is an enterprise-level decentralized computing network that supports the development, execution, and scaling of ML applications on the Solana blockchain, integrating 1 million GPUs to form the world's largest GPU cluster and DePIN. This enables machine learning engineers to access a large amount of computing power in a system that is accessible, customizable, economically efficient, and easy to implement.

• Price: $2.11
• MC Market Cap: $200 million
• FDV Market Cap: $1.7 billion
• Financing: $40 million
• Institutions: Hack VC, Animoca, Amber Group, Multicoin Capital, Solana Ventures, etc.

3. $ATH( @AethirCloud)

$ATH: A decentralized GPU platform designed to provide efficient and convenient decentralized computing power solutions for the AI and cloud gaming industries.

Detailed report: https://twitter.com/rocky_bitcoin/status/1781700668212064537?s=46

• Price: $0.067
• MC Market Cap: $270 million
• FDV Market Cap: $2.8 billion
• Financing: $9 million
• Institutions: HashKey Capital, Animoca, Mirana Ventures, Merit Circle, Sanctor Capital, Citizen X, etc.

4.$NMT ( @NetmindAi)

NetMindAi is a first-layer network platform for decentralized GPU computing power and AI model development.

Its features include:

• NetMind Power: Access to GPU capabilities for machine learning tasks.

• NetMind Chat: Interaction with conversational AI chatbots.

• Price: $3.43

• MC Market Cap: $136 million

• FDV Market Cap: $505 million

• Financing: Not publicly disclosed

5.$OLAS ( @autonolas)

Autonolas offers a unique way to operate services in a collectively owned and decentralized manner. Its services are well suited for integrating encryption and artificial intelligence, running complex logic in a decentralized manner, and autonomously handling on-chain and off-chain data.

• Price: $1.3
• MC Market Cap: $59 million
• FDV Market Cap: $700 million
• Financing: Not publicly disclosed
• Institutions: http://f.actor, Metropolis DAO, Permutation

6. Early introduction of the 5 Great Apes:

• $TAO( @opentensor)
• $RNDR( @rendernetwork)
• $AKT( @akashnet_)
• $NOS( @nosana_ai)
• $IO( @ionet)

Detailed report: https://twitter.com/Rocky_Bitcoin/status/1730610433516789795

Next, here are some incubated AI projects that have not yet launched TGE:

7. #KIP ( @KIPprotocol)

The KIP protocol is an open-source Web3 framework designed to simplify the development, control, and monetization of decentralized knowledge assets for AI applications, to launch KnowledgeFi.

Detailed report: https://twitter.com/rocky_bitcoin/status/1760871818326634705?s=46

The protocol allows AI innovators to showcase their skills in data generation, model training, application development, and achieve transparent accounting and revenue sharing.

Each element is encapsulated in ERC-3525 semi-fungible tokens (SFT), allowing seamless and economically efficient transfer of economic value between components in real time when users participate.

• Price: Not yet issued
• Financing: $5 million
• Institutions: Animoca, MH Ventures, Tribe Capital, DWF Labs, etc.

8. #SaharaAI( @SaharaLabsAI)

Sahara AI is a decentralized artificial intelligence network designed to provide an open, fair, and collaborative economic system. It democratizes the development, deployment, and monetization of AI assets such as AI models, datasets, agents, and other AI-related assets. This allows everyone to participate in AI progress and benefit from it, achieving a more interconnected, secure, and fair AI world.

Detailed report: https://twitter.com/Rocky_Bitcoin/status/1837716497340551280

• Price: Not yet issued
• Financing: $43 million
• Institutions: Pantera Capital, Binance Labs, Polychain Capital, Samsung NEXT, Matrix Partners, Dao5, etc.

9. #Vana( @withvana)

Vana is a distributed private user data network designed to enable users to own AI. Users own and manage the AI models they contribute and profit from them. Developers can access cross-platform data to support personalized applications and train cutting-edge AI models.

Users can aggregate data from platforms such as Reddit and Twitter, and then sell it to AI researchers, providing users with a source of income.

• Price: Not yet issued
• Financing: $25 million
• Institutions: Coinbase Ventures, Paradigm, Polychain, etc.

10. #FLockio( @flock_io)

http://FLock.io is a decentralized training platform based on federated learning. By incentivizing the community to provide training data and model feedback, the creation and adjustment of models become more democratic. The protocol and developers can use FLock to train models specific to their use cases, such as AI companions, function call models, sensor analysis, etc. The platform aims to democratize the training, fine-tuning, and inference of AI agents, promoting data privacy protection and sovereignty through federated learning.

Early mining incentives are currently available!

Detailed report: https://twitter.com/Rocky_Bitcoin/status/1825759852041551999

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。