RADAR AI
  • Executive Summary
  • Introduction
    • The Crypto Market Landscape
    • Challenges for Traders, Investors, and Developers
    • The Need for DeFAI: Merging DeFi and AI
  • Radar AI Overview
    • Simplifying Crypto with DeFAI
    • Why Radar AI Stands Out
    • Unified Ecosystem: Lite, Pro, and Bolt
  • Key Features
    • Radar AI Lite: Foundational Tools for Everyone
    • Radar AI Pro: Advanced Analytics for Pro Users
    • Bolt: Supercharged Voice Agent by Radar AI
  • Technology and Innovation
    • Agentic Ecosystem
    • Proprietary ML Models
    • Multi-Modal and Intuitive UI
  • Technical Architecture
    • System Design and Scalability
    • Data Security and Privacy Standards
  • Use Cases
    • Empowering Traders with Actionable Insights
    • Assisting Developers with APIs and Custom Integrations
    • Community Growth and Ecosystem Engagement
  • Tokenomics
    • Token Utility
    • Revenue Model
    • Incentive Structures
  • Development Roadmap
  • Competitive Advantage
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  1. Technical Architecture

System Design and Scalability

PreviousTechnical ArchitectureNextData Security and Privacy Standards

Last updated 1 day ago

Radar AI’s architecture is designed to support rapid growth and evolving market demands:

  • Modular Design: A microservices-based architecture enables flexible updates, seamless feature rollouts, and efficient resource allocation.

  • Cloud-Native Scalability: Deployed on a cloud infrastructure, Radar AI auto-scales to accommodate high data loads, ensuring consistent performance during peak market activity.

  • AI Model Optimization: The system optimizes LLMs, GNNs, and other ML models for low-latency responses and real-time insights, even during large-scale analytics.

Radar AI: Real-Time Crypto Intelligence System Architecture

System Architecture

Radar AI: Powering DeFAI with Intelligent AI Agents and Seamless Data Flow

Data Flow Diagram