TARS AI is an AI infrastructure protocol built for the Solana blockchain. As a grant recipient of the Solana Foundation, it functions as a modular, scalable Web3 solution aimed at transitioning users from Web2 to Web3, catering to the +1 million Solana users by integrating artificial intelligence with Solana's high-speed blockchain infrastructure. The project’s inclusion in the Google Startup Program provided additional validation from a legacy leader in the technology space. With a strong focus on scalability, cost-effectiveness, and innovation, the platform aims to bridge the gap between AI and blockchain, positioning itself at the nexus of both of these emerging sectors. 

Project Function

The platform integrates a robust feature set, including: AI Console, Consumer Al, AI Aggregator, TARS AI Hub, GPU Staking and more, catering to a diverse audience, from crypto newcomers to seasoned developers. By prioritizing real-time insights, cost-efficiency, and community-driven rewards, TARS AI aims to redefine how users and developers interact within the Web3 landscape.

Core Components:

AI Console: A centralized super-app that provides access to modular AI tools, aimed at streamlining blockchain interactions and delivering an intuitive user experience.

Consumer AI: An assistant equipped with Sliding Window Memory and Real-Time Learning to provide tailored insights, real-time market data, and recommendations for users across the Web3 ecosystem.

AI Aggregator: Dynamically routes user queries to the most appropriate large language models (LLMs) to provide accurate and context-relevant responses.

TARS AI Search Engine: Combines AI-driven insights with blockchain search functionality, offering comprehensive tools for developers, researchers, and everyday users.

GPU Staking: A unique staking mechanism allowing users to mint untradeable GPU NFTs that mine TAI tokens as rewards. 

TARS AI Hub: A curated aggregator of pre-trained AI models offering access to a diverse library of AI tools, without registration or fees. Developers can integrate these models using an SDK or API, with incentives provided through the Build2Earn and UseAI2Earn models.

Upcoming features include the AI Market, which will feature AI Agents in its first batch of tokenized AI commodities. 

Token Utility

The TAI token underpins the TARS ecosystem, driving platform functionality, community incentives, and economic sustainability:

Primary Use Cases:

Access to Ecosystem Tools: TAI is required to leverage AI services like the AI Hub, Consumer AI, and GPU Staking.

GPU Staking Rewards: Staking TAI tokens earns users points, which can be used to mint GPU NFTs that mine TAI tokens as rewards.

AI Hub Incentives:

UseAI2Earn Model: Rewards users for engaging with AI services.

Build2Earn Model: Developers earn TAI tokens for contributing AI models to the platform.

Community Rewards: Token holders gain exclusive benefits, including airdrops from new incubated projects entering the TARS ecosystem.

Multi-Chain Support: TAI integrates with various blockchain environments, allowing for flexibility and inclusivity for users and developers.

About the Founders

Susie Wang was the ex-PGM of BNB Chain, Founder of OffChain Vancouver, Researcher at ERC3525 Lab, Instructor at HackHub, and Ambassador for Arbitrum. . With a traditional science background, she finds her zeal at the nexus of technology and human cognition. She has been part of TARS AI as a founding member and is currently Chief of Growth, expanding the Web3 integrations of TARS.

Richard Bragshaw is Head of Ecosystem and has previously worked as a full-time employee for P2P.org, which was one of the largest staking validators on the Solana network. Richard also worked at Tether when they launched Solana as transport layer with USDT before that. Through his growth efforts, he was able to secure a 60% share of voice for P2P.org in media mentions and provided market commentary quotes.Gregory Chapman is experienced guiding Web3 projects to successful user adoption. He was the ex-marketing lead at Ecomi, one of the most adopted tokenization platforms. He also served as the Marketing lead at Amazix. He now serves as the Operations Lead at TARS AI, designing user success strategies in the TARS Agent & AI Commodities market.

Naji Osmat is a seasoned economist, with a strong finance background, and advised many Web2 ventures into navigating to a decentralized world. He serves as the TARS Strategy Lead, where he works on product direction alongside AI engineers.

Georgina WIlliams previously was the Business Dev Manager at Synthetix, a popular derivatives platform. Following this, she guided many Web3 startups on partnerships & technical integrations. She now works on the business expansion side to the consumer & corporate products of TARS AI.

Susie Wang was the ex-PGM of BNB Chain, Founder of OffChain Vancouver, Researcher at ERC3525 Lab, Instructor at HackHub, and Ambassador for Arbitrum. . With a traditional science background, she finds her zeal at the nexus of technology and human cognition. She has been part of TARS AI as a founding member and is currently Chief of Growth, expanding the Web3 integrations of TARS.

Richard Bragshaw is Head of Ecosystem and has previously worked as a full-time employee for P2P.org, which was one of the largest staking validators on the Solana network. Richard also worked at Tether when they launched Solana as transport layer with USDT before that. Through his growth efforts, he was able to secure a 60% share of voice for P2P.org in media mentions and provided market commentary quotes.Gregory Chapman is experienced guiding Web3 projects to successful user adoption. He was the ex-marketing lead at Ecomi, one of the most adopted tokenization platforms. He also served as the Marketing lead at Amazix. He now serves as the Operations Lead at TARS AI, designing user success strategies in the TARS Agent & AI Commodities market.

Naji Osmat is a seasoned economist, with a strong finance background, and advised many Web2 ventures into navigating to a decentralized world. He serves as the TARS Strategy Lead, where he works on product direction alongside AI engineers.

Georgina WIlliams previously was the Business Dev Manager at Synthetix, a popular derivatives platform. Following this, she guided many Web3 startups on partnerships & technical integrations. She now works on the business expansion side to the consumer & corporate products of TARS AI.

Risks of TAI

Like an investment in other crypto assets, there are some general risks to investing in TAI. These include:  (i) volatility risk and liquidity risk, (ii) short history risk, (iii) demand risk, (iv) forking risk, (v) code defects, (vi) regulatory risk, (vii) electronic trading risk, and (viii) cyber security risk. For additional information of these and other general risks associated with crypto assets and Uphold’s platform, please refer to the Risks Specific to Holding Digital Assets statement.

In addition to these general risks, an investment in TAI is subject to the following specific risks:

TARS AI operates using smart contracts, which have an association with vulnerabilities and security breaches. Despite undergoing successful audits by well-regarded third-party entities, it is essential to acknowledge the existence of inherent risks. 

We emphasize that this Crypto Asset Statement is not an exhaustive description or summary of all risks associated with TAI. Investors should conduct their own research and perform their own assessment before trading any crypto asset to determine the appropriate level of risk for their personal circumstances.

The TAI community and TARS AI founding team are not under any legal or regulatory obligation to disclose material information to the public regarding its activities. Holders of TAI have no recourse to the TAI community, TARS AI founding team, or Uphold if TAI declines in value for any reason.

Changes to applicable law may adversely affect the use, transfer, exchange, or value of any of your crypto assets, and such changes may be sudden and without notice.

Uphold’s Evaluation Process

Prior to listing TAI on the Uphold Platform, Uphold performed due diligence on TAI and determined that TAI is unlikely to be a security or derivative under relevant securities legislation. Uphold’s analysis including reviewing publicly available information on the following: 

The creation, governance, usage, and design of TAI, including ensuring the source code is open-source, audited and peer reviewed, security, and roadmap for growth in the developer community. 

The supply, demand, maturity, utility, and liquidity of TAI.

Any marketing materials put forward by the TAI social team including on, Twitter, Medium blog, LinkedIn posts, Discord and Telegram channels.

Material technical risks associated with TAI, including any code defects, security breaches and other threats concerning TAI and its supporting blockchain (such as the susceptibility to hacking and impact of forking), or the practices and protocols that apply to them.

Legal and regulatory risks associated with TAI, including any pending, potential, or prior civil, regulatory, criminal, or enforcement action relating to the issuance, distribution, or use of TAI.