2. Sphere features

2.1 Core features

• Multi-chain connectivity and intelligent cross-chain integration

Sphere supports multiple blockchain ecosystems through seamless cross-chain integration, making it easy to connect and launch projects on multiple chains. With AI Agent technology, the platform is able to analyse the status of different chains, transaction fees, traffic and user behaviour in real-time to automatically optimise project deployment strategies, and the AI Agent intelligently selects the optimal chain based on market trends to ensure projects reach their target audience to the maximum extent possible, boosting engagement and investor confidence.

• Cost-effective, intelligent cost optimisation

Sphere offers a 75% cheaper cost than other launch platforms, and intelligently recommends the most cost-effective launch options through the platform's AI Agent technology, which dynamically adjusts resource allocation based on the needs of the project and optimises the allocation of funds to minimise the launch cost of each project, while ensuring maximum operational efficiency. With no coding required, users can quickly create tokens and launch projects through an intuitive interface that is completely decentralised and intelligent, simplifying the entire process.

• Intelligent revenue modelling and optimisation

Sphere's revenue model is closely related to the community, and the AI Agent can monitor and analyse the platform's revenue, market changes and user demand in real-time to intelligently predict and optimise the revenue model.The AI Agent can also recommend the most appropriate revenue distribution strategy based on the project's specific conditions and adjust the distribution ratio between NFT holders and tokens to ensure long-term revenue growth and continuous community participation. AI Agent

• Intelligent Security Protection and Transparency

Security is one of Sphere's core competencies. The platform protects all users' funds and data through advanced security measures and monitors transactions and smart contracts on the blockchain in real time with the help of AI Agent technology, which automatically identifies potential risks and provides timely alerts to enhance the platform's protection capabilities. In addition, real-time revenue tracking and the transparency of the blockchain allow every user to have a clear understanding of the platform's operations and capital flows, further enhancing trust.

• User-centred intelligent design

Sphere provides a smooth and intuitive user interface, using AI Agent to intelligently analyse user behaviour and automatically recommend personalised features and operating paths. Whether you are a novice user or an experienced blockchain developer, you can enjoy a seamless experience, and the AI Agent optimises the layout of the interface according to your operating habits, making the platform smarter and more convenient to use, and providing tailor-made operational recommendations and strategies.

• Liquidity lock-in and smart market monitoring

Sphere provides liquidity locking function to ensure investor confidence and platform stability, AI Agent can intelligently adjust the liquidity locking strategy according to the market fluctuation and liquidity demand to ensure the safety of the platform's funds. At the same time, the AI Agent can also predict the direction of the market and adjust the timing of liquidity provision based on smart contracts to help users seize the best investment opportunities.

2.2 Uniqueness

• Cost Efficiency and Intelligent Resource Allocation

Sphere delivers significantly lower costs than traditional launch platforms, enabling projects to start with more resources and grow faster. Through AI Agent technology, the platform intelligently analyses and optimises the allocation of resources based on each project's needs and objectives, ensuring that costs are minimised and value for money is maximised.The AI Agent not only optimises every aspect of a project's launch, but also adapts in real-time and responds flexibly to changes in the marketplace, helping to differentiate a project in a highly competitive marketplace.

• Revenue Sharing and Community Driven

Sphere redistributes revenue to the community, especially token holders and NFT holders, aligning the success of the platform with the success of its users.The AI Agent's intelligent analysis of user behaviour enables revenue distribution and community reward mechanisms to be intelligently adjusted according to market dynamics and participant activity, further enhancing community engagement and platform sustainability.

• Cross-chain innovation and intelligent integration

Unlike other platforms that focus on a single blockchain, Sphere is able to seamlessly launch projects on both EVM and non-EVM chains, unlocking a wider range of opportunities.The AI Agent plays a critical role in this process: it identifies the best links in real-time, intelligently optimises cross-chain transactions, reduces complexity in operations, and increases efficiency and security.Sphere leverages AI Sphere leverages AI Agent technology to make multi-chain connectivity not just a technological breakthrough, but a seamless operational experience.

• Transparency and Intelligent Monitoring

Sphere's clear focus on decentralisation and real-time revenue tracking ensures that the platform is extremely transparent in its operations. With the AI Agent, the platform is able to analyse the flow of data on the blockchain in real-time, monitor smart contract execution, and intelligently alert on potential risks, enhancing the transparency and security of the platform. Users and project owners are able to view operational data and revenue in real time, increasing trust and ensuring fairness.

2.3 Technical characteristics

• Adaptive cross-chain protocols and intelligent routing systems

Sphere adopts an original adaptive cross-chain protocol combined with an intelligent routing system to achieve intelligent link selection and transaction optimisation through AI Agent technology. The protocol can automatically analyse multi-dimensional data such as load, transaction fees and traffic conditions of different blockchains to adjust the path of cross-chain transactions in real time. Unlike traditional cross-chain bridges, Sphere's protocol not only has the ability to adapt dynamically, but also evolves through machine learning to improve the efficiency and stability of cross-chain interactions as the number of inter-chain interactions increases, AI Agent not only improves the efficiency of cross-chain operations, but also dynamically optimizes the execution path of each transaction according to the market and network conditions, reducing the need for intermediary layers, thus reducing the operational cost of the project. AI Agent

• Algorithmic optimisation based smart contract engine

The smart contract engine introduced by Sphere not only realises the platform's functions through smart contracts, but also has a high degree of dynamic adaptability. With the platform's AI Agent, the system is able to automatically generate customised contracts at the start of a project, and optimise the terms and execution of the contract in real-time based on market feedback, on-chain data and project requirements. Unlike traditional contracts, which cannot be changed once deployed, Sphere's smart contracts are able to adjust to external changes and risks during operation through the AI Agent's data analysis and prediction capabilities, ensuring that the contract terms are always in the best interest. This mechanism greatly increases the flexibility of smart contracts, reduces the risk of hard-coding, and optimises the flow of capital and resource allocation.

• Decentralised intelligent resource scheduling system

Sphere builds a decentralised intelligent resource scheduling system that leverages AI Agents for optimal management of global computing resources. The platform provides distributed computing support through multiple global nodes, while the AI Agent evaluates the health status, computing demand, network latency, and other data of each node in real time and automatically allocates resources. This decentralised resource scheduling not only ensures the platform's efficient operation, but also allows for the flexible configuration of computing power according to the needs of different projects, avoiding the risks associated with single-point failures and centralised systems. In addition, the platform also adjusts resource allocation in real time according to project demand, user participation, capital flow, etc., to ensure that the computing needs of each project can be efficiently met while reducing resource waste.

• quantum-resistant cryptography

The Sphere platform adopts leading quantum-resistant encryption technology in terms of cryptographic security to address possible security threats posed by future quantum computing. The encryption algorithms used by the platform are designed for the quantum computing era and can effectively prevent quantum computing from cracking the potential risks posed by existing encryption methods. Through this encryption system, users' funds, transaction records and smart contract contents are strongly protected, and the AI Agent also monitors the cryptographic security posture in real time, continuously updating the encryption protocols based on external technological advances and security threats to ensure that the platform remains robust in the face of new types of attacks. This forward-looking encryption technology provides strong security for the platform's long-term sustainability.

• De-trusted Data Protocols and Privacy Computing

Sphere pioneers a combination of privacy computing technology and blockchain for de-trusted data processing. With Fully Homomorphic Encryption (FHE) and Zero Knowledge Proof (ZKP) technologies, Sphere enables users' sensitive data to be processed and computed without revealing specifics.The AI Agent system leverages these technologies to provide efficient data analysis and decision support while ensuring data privacy. Every transaction and smart contract execution in the platform is carried out under a completely de-trusted framework, thus enhancing data privacy and security while ensuring compliance. Through privacy computing, Sphere is able to provide users with a secure and transparent data processing environment, allowing decentralised operations to be efficient without sacrificing privacy protection.

• Self-evolving intelligent optimisation algorithms

Sphere's intelligent optimisation system is based on machine learning and data-driven algorithms, and is self-adjusting and optimising through an AI Agent system that constantly learns from user behaviour, market dynamics and project feedback. Unlike traditional platforms with static rules, Sphere's algorithms dynamically adjust to real-time operational data, market fluctuations and changes in the blockchain environment. This means that the platform is able to evolve in the course of operation, which not only improves the user experience, but also accurately predicts market changes and user needs, and intelligently recommends the best resource allocation and project promotion strategies.The AI Agent's ability to self-evolve dramatically improves the platform's resilience and long-term development potential, and ensures that the project is able to continue to maintain its competitiveness in the fast-changing blockchain market.