Architecture
Last updated
Last updated
The Aurory AI platform integrates multiple layers to provide a seamless and secure user experience, combining AI, ML, LLM, and blockchain technologies. The architecture can be visualized as a stack, with each layer building upon the previous ones to deliver comprehensive functionality and security.
The frontend layer is the presentation layer of the Aurory AI platform. It is designed to provide a user-friendly interface for interaction with the platform's services.
User Interface: Available on both web and mobile platforms, offering specific interfaces for each product (AquaGPT, AngelicART, AtomTRADE, etc.). Ensures an intuitive and accessible experience for users.
User Authentication: Implements secure login and user management systems to protect user accounts and data.
User Interaction: Facilitates inputs (text, voice, images) and outputs (text responses, visual data, generated art) for engaging user experiences.
The backend layer handles the server-side operations and supports the frontend applications by managing data, executing business logic, and serving API requests.
API Gateway: Serves as the entry point for API requests, ensuring efficient routing and response management. Facilitates communication between frontend and backend services, ensuring seamless data flow and operation across the platform.
Microservices: Dedicated services for each product handle processing tasks efficiently. This modular architecture allows for scalability and flexibility in managing various functionalities.
Data Storage: Secure databases store user data, transcriptions, video files, and other relevant information. Ensures data integrity and availability.
This layer is responsible for the artificial intelligence capabilities of the platform, including machine learning models and large language models.
ML Models: Advanced models are employed for decision-making and automation, enhancing the capabilities and efficiency of the autonomous agents.
LLM (Large Language Model): Large Language Models are used for natural language processing, enabling sophisticated text generation and understanding.
Model Training: Continuous learning and improvement of AI models ensure that the platform adapts to new challenges and user needs effectively.
Training Pipelines: Infrastructure for training and deploying ML models, ensuring they remain up-to-date and effective. Uses frameworks like TensorFlow and PyTorch.
The blockchain layer provides the foundation for decentralized operations, ensuring transparency, security, and integrity of data and transactions.
Smart Contracts: Autonomous agents are implemented as smart contracts, operating independently on the blockchain. These contracts perform tasks such as trading and asset management.
Blockchain Integration: Ensures seamless interaction with various blockchain networks, maintaining connectivity and functionality of the autonomous agents within the Web3 ecosystem.
Onchain Agent Operations: Manages autonomous onchain AI agents.
Native Token ($AURY): The platform's cryptocurrency used for transactions, rewards, and governance within the Aurory AI ecosystem.
The security layer encompasses all measures and protocols to protect the platform, user data, and transactions from threats and breaches.
Authentication & Authorization: Secure user login systems, multi-factor authentication, and role-based access control to ensure only authorized access.
Data Encryption: Protects data at rest and in transit, ensuring that user information and interactions remain confidential.
Access Control: Implements strict access control measures to ensure that only authorized users and agents can access specific services and data.
Monitoring: Continuous monitoring of the system to detect and respond to potential security threats, maintaining the integrity and security of the platform.
