NexaFusion is an EVM-compatible Layer 2 blockchain that supports developing and deploying AI-driven solutions across various industries using a Mixture of Experts (MoE) framework. ^[1]

Overview

NexaFusion is an EVM-compatible Layer 2 blockchain incorporating a Mixture of Experts (MoE) framework. This framework facilitates the straightforward creation and monetization of AI agents. This platform improves data integrity and usability in blockchain applications, aiding the development and deployment of AI-driven solutions across multiple industries. NexaFusion aims to enhance AI quality and functionality within the blockchain space by improving data integrity through a validation layer for peer-to-peer verification and expert reviews, ensuring high-quality data for training models. ^[2][3]

The platform fosters machine learning innovation by encouraging contributions from a decentralized community. It promotes an active community through a reward system that compensates efforts in data provision, model validation, and testing. By leveraging blockchain technology, NexaFusion ensures transparency and trust through clear documentation of model training data and enhances market accessibility by expanding data resources and maintaining a network of validators, reducing costs and complexity for enterprises seeking advanced AI solutions. ^[2][3]

Architecture

NexaFusion's architecture is designed to support a distributed machine learning platform, integrating data integrity, validation processes, and user incentives to ensure secure, transparent, and efficient interactions. Data integrity is maintained through encryption methods that authenticate and validate data entries, ensuring accuracy and immutability. The platform includes detailed validation layers that combine automated algorithms with human expertise to ensure the quality of both data and AI models. An economic model rewards participants who provide data or develop effective AI models with $NXF tokens, encouraging high-quality contributions. ^[4][5]

NexaFusion's scalable and modular design supports a wide range of AI and blockchain applications, from simple transactions to complex AI tasks, and adapts to emerging technologies. These components and principles provide a robust foundation for integrating AI and blockchain technologies, fostering innovation and reliability across various applications. ^[4][5]

Data Layer

The data layer is a key component of NexaFusion's architecture, ensuring secure data management and accessibility. It supports all data-related operations, including storage, access, and usage in machine learning processes. Data upload and storage are managed through the platform's user interface, with data stored on distributed nodes for high availability and redundancy. Blockchain technology creates immutable records of data transactions, ensuring traceability and integrity. Uploaded data undergoes rigorous validation, starting with automated compliance checks followed by assessments from community validators or expert reviewers to ensure accuracy and relevance. This robust management system leverages blockchain for immutable records and thorough validation, enhancing data traceability and reliability within the platform. ^[6]

Model Management Interface

The model management interface in NexaFusion provides comprehensive oversight of AI models, covering submission, updates, testing, and deployment. Developers submit their AI models with metadata detailing the model's purpose, algorithms, and usage guidelines. Before deployment, models undergo rigorous testing and benchmarking against standard datasets, and peer reviews ensure they meet community standards and ethical guidelines. The system also maintains detailed version records, allowing developers to roll back changes or reference previous versions, ensuring traceable and manageable improvements and updates. This interface ensures efficient and transparent management of AI models, aiding developers in maintaining compliance and facilitating continuous improvement. ^[7]

Reward System

The reward system in NexaFusion incentivizes contributions across the ecosystem, including data provision, model development, and validation. Data contributors receive data ownership tokens, granting economic benefits from data usage. Model developers and tuners are rewarded based on the usage and performance of their models, encouraging ongoing development and improvement of AI capabilities. This system ensures fair compensation for contributions, fostering a collaborative environment for sustainable growth and innovation within the NexaFusion ecosystem. ^[8]

Verification/Arbitration Layer

In NexaFusion, the verification and arbitration layers are essential for maintaining the quality and reliability of data and models. The verification layer conducts automated and manual reviews to ensure data and models meet integrity and accuracy standards before use. The arbitration layer handles disputes related to data quality or model performance through structured peer reviews and expert adjudication based on evidence and criteria. These layers ensure that all data and AI models meet rigorous standards before deployment within the ecosystem. ^[9]

Storage Nodes

Storage nodes, which handle decentralized data storage and retrieval, are vital to the NexaFusion blockchain. They ensure the platform's robustness and scalability by managing various data types, including AI model parameters. These nodes provide data redundancy by replicating data across multiple locations, enhancing availability, and distributing network load. They also ensure secure data storage through encryption and security protocols, protecting against unauthorized access. Additionally, storage nodes handle data retrieval requests, which is crucial for real-time AI model performance. ^[10][11]

The operation of storage nodes in NexaFusion is designed for ease of participation while ensuring network health and data integrity.  Node operators set up their nodes following detailed hardware, software, and network configuration guidelines, with support provided through documentation and community resources. Nodes continuously synchronize with the blockchain to keep their data and systems up-to-date. ^[10][11]

Reward System

The reward system for storage nodes compensates for their contributions to network storage and data availability. Storage nodes earn a share of transaction fees from data operations and receive rewards for maintaining data integrity and availability based on the volume and duration of stored data. Additionally, operators may receive extra incentives from a token pool during the initial years to support network growth and stability. ^[12]

Integration

Storage nodes in the NexaFusion network use a peer-to-peer (P2P) protocol for efficient communication and data flow, supporting distributed applications. The platform continuously monitors node performance and health, rewarding those that meet standards and penalizing or removing underperforming nodes. Regular updates and maintenance are provided to ensure nodes operate with the latest software, with notifications sent to operators as needed. ^[13]

NEXUS

The NEXUS platform is the central hub within the NexaFusion ecosystem for deploying AI agents, allowing users to choose from various pre-configured AI agents or customize their own by selecting different base models and fine-tuned versions. This supports diverse applications and fosters innovation in AI solutions. Users can engage in model selection and customization through tools like the Model Selector, which allows choosing from various base models, and the Customizer, which enables fine-tuning models for specific tasks. Participants are rewarded when their configurations are used, promoting effective sharing of AI solutions. NEXUS integrates with blockchain to enhance efficiency and user experience, featuring Web3 Copilot for seamless interaction with on-chain data and services and enabling advanced use of account abstraction for AI agents. ^[14]

NEXUS models undergo thorough testing to ensure they meet accuracy and reliability standards. This process includes benchmark testing with standard datasets and peer reviews from community members and experts. Validators contribute by participating in model testing and providing feedback, ensuring quality and proper functioning before fully integrating models. Validators are compensated for their role, which supports the integrity and reliability of the NEXUS platform. ^[15]

NEXUS’s reward system compensates contributors based on their intellectual and computational contributions. Data providers earn rewards whenever their data is used on the platform, while model creators receive ongoing rewards based on their models' usage, encouraging continuous enhancement and relevance. This system supports a sustainable environment for AI development by recognizing and incentivizing key contributions. ^[16]

NXF Coin

The $NXF token is integral to the NexaFusion blockchain, facilitating transactions, governance, and incentivizing various ecosystem activities. It covers transaction fees, supports staking for network security, and grants access to services like AI analytics and model marketplaces. $NXF holders participate in governance, propose changes, and vote on network developments. Validators, developers, and users earn $NXF through rewards for maintaining network integrity, contributing to development, and engaging with the ecosystem, ensuring a robust and dynamic environment. ^[17]

Tokenomics

$NXF ensures a balanced economic model that supports growth and stability within the NexaFusion ecosystem, promoting long-term engagement, network security, and fair distribution of incentives. The initial allocation of $NXF is distributed among developers, early investors, node operators, and reserved funds for future development. ^[18]

NXF has a total supply of 2B tokens and has the following allocation: ^[19]

• Staking/Network Security: 25%
• Developer Incentives: 15%
• Validator Rewards: 15%
• User Rewards: 15%
• Service Access: 10%
• Transaction Fees/Gas: 10%

Partnerships

Orbler

On July 22, 2024, Orbler and NexaFusion announced a partnership to combine AI and blockchain technology for digital marketing solutions. The integration combined NexaFusion’s AI capabilities with Orbler’s community-focused features. This collaboration was expected to enhance Orbler’s engagement strategies with personalized interactions and offer NexaFusion an opportunity to reach a wider audience through Orbler’s established community. ^[20]