Technology Architecture
Building the Future of IP Licensing
Project J's technology stack represents a carefully orchestrated blend of cutting-edge AI, high-performance blockchain, and robust infrastructure designed to handle the demands of global IP licensing at scale.
Core Technology Stack
graph TB
subgraph "Frontend Layer"
WEB[Web App<br/>React + TypeScript]
MOBILE[Mobile SDKs<br/>iOS/Android]
GAME[Game SDKs<br/>Unity/Unreal]
end
subgraph "AI Layer"
LLM[LLM Engine<br/>GPT-4/Claude]
RAG[RAG System<br/>Multi-modal DB]
HUMAN[Human Review<br/>Queue System]
end
subgraph "Blockchain Layer"
SUI[Sui Network<br/>High Performance]
CONTRACTS[Smart Contracts<br/>Move Language]
WALLET[Wallet Integration<br/>Sui/zkLogin]
end
subgraph "Backend Layer"
API[API Gateway<br/>Node.js]
CACHE[Redis Cache<br/>Performance]
DB[PostgreSQL<br/>Relational Data]
end
subgraph "Storage Layer"
WALRUS[Walrus<br/>Decentralized]
SERVERS[Project J<br/>Secure Servers]
end
WEB --> API
MOBILE --> API
GAME --> API
API --> LLM
API --> CONTRACTS
LLM --> RAG
LLM --> HUMAN
CONTRACTS --> SUI
API --> CACHE
API --> DB
RAG --> WALRUS
DB --> SERVERS
1. AI-Powered Licensing Engine
LLM Integration with Human Oversight
Our licensing engine combines the speed of AI with the wisdom of human experts:
Architecture Components
class LicensingEngine:
def __init__(self):
self.llm = GPT4Engine(
temperature=0.3, # Conservative for licensing
max_tokens=4000,
custom_training="ip_licensing_dataset"
)
self.rag = MultiModalRAG(
text_embeddings="all-MiniLM-L12-v2",
image_embeddings="clip-ViT-B/32",
index_size="10M+ documents"
)
self.human_queue = ExpertReviewQueue(
sla_hours=24,
escalation_tiers=3,
expert_count=50
)
async def process_request(self, game_proposal):
# AI Phase (2 seconds)
ai_result = await self._ai_analysis(game_proposal)
# Human Phase (24 hours max)
human_result = await self._human_review(ai_result)
return human_result
RAG System Architecture
Our Retrieval-Augmented Generation system maintains comprehensive IP knowledge:
Multi-Modal Database Structure
IP Knowledge Base:
├── Text Embeddings (5M+ documents)
│ ├── IP Narratives & Lore
│ ├── Character Backgrounds
│ ├── Licensing Terms History
│ ├── Market Performance Data
│ └── Fan Sentiment Analysis
│
├── Image Embeddings (10M+ assets)
│ ├── Character Designs
│ ├── Logo Variations
│ ├── Art Style Guides
│ ├── Marketing Materials
│ └── Game Integration Examples
│
└── Structured Data
├── Revenue Metrics
├── Usage Statistics
├── Compliance Rules
└── Regional Restrictions
Human Review System
Expert Validation Flow
graph LR
AI[AI Recommendation] --> Q1{Legendary IP?}
Q1 -->|Yes| EXPERT1[Expert 1 Review]
Q1 -->|No| AUTO[Auto-Approve]
EXPERT1 --> EXPERT2[Expert 2 Validation]
EXPERT2 --> Q2{Consensus?}
Q2 -->|Yes| APPROVE[Approved]
Q2 -->|No| ESCALATE[Senior Review]
ESCALATE --> FINAL[Final Decision]
2. Blockchain Infrastructure
Sui Network Integration
We chose Sui for its unique advantages:
Performance Metrics
- 100,000+ TPS: Transaction throughput
- Less than 1 second: Transaction finality
- $0.001: Average transaction cost
- Horizontal scaling: Unlimited growth
Smart Contract Architecture
Core Contracts (Move Language)
module project_j::ip_licensing {
use sui::object::{Self, UID};
use sui::tx_context::TxContext;
use sui::transfer;
/// IP License NFT
struct IPLicense has key, store {
id: UID,
ip_id: String,
game_id: String,
terms: LicenseTerms,
revenue_share: RevenueDistribution,
expiry: u64,
usage_tracking: UsageMetrics
}
/// Automated revenue distribution
struct RevenueDistribution has store {
developer_share: u64, // 60%
ip_holder_share: u64, // 5-20%
platform_share: u64, // 20-35%
}
/// Human approval integration
struct HumanApproval has store {
ai_recommendation: vector<u8>,
expert_decision: bool,
reviewer_id: address,
timestamp: u64,
notes: String
}
}
Existing Contract Integration
Leveraging our current NFT infrastructure:
// Extend existing Card system
struct Card has key, store {
id: UID,
name: String,
image_url: String,
rarity: u8,
// New IP licensing fields
ip_license: Option<IPLicense>,
cross_game_enabled: bool,
revenue_tracking: RevenueMetrics
}
3. Storage Architecture
Hybrid Storage Strategy
On-Chain Storage (Sui)
- IP ownership records
- License terms and conditions
- Revenue distribution rules
- Transaction history
- Governance decisions
Walrus Decentralized Storage
- High-resolution artwork (public)
- Game integration assets
- Marketing materials
- Community content
- Public documentation
Project J Secure Servers
- Sensitive IP documents
- Legal contracts
- Financial records
- User PII (encrypted)
- Analytics data
Data Flow Architecture
User Request → API Gateway → Cache Layer → Decision Engine
↓ ↓
Blockchain AI/Human Review
↓ ↓
Storage Smart Contract
↓ ↓
Response Transaction
4. Security & Compliance
Multi-Layer Security
Infrastructure Security
Security Layers:
- Network:
- DDoS Protection (Cloudflare)
- WAF (Web Application Firewall)
- Rate Limiting
- Application:
- JWT Authentication
- Role-Based Access Control
- API Key Management
- Blockchain:
- Multi-sig wallets
- Time-locked upgrades
- Formal verification
- Data:
- AES-256 encryption at rest
- TLS 1.3 in transit
- Zero-knowledge proofs for privacy
Compliance Framework
Automated Compliance Checking
class ComplianceEngine:
def check_ip_usage(self, usage_request):
checks = [
self.regional_restrictions(),
self.age_rating_compliance(),
self.content_guidelines(),
self.trademark_validation(),
self.copyright_verification()
]
return all(checks) and self.human_final_review()
5. Scalability Design
Microservices Architecture
Services:
├── Licensing Service (AI + Human)
├── Payment Service (Revenue Distribution)
├── NFT Service (Minting & Trading)
├── Analytics Service (Real-time Metrics)
├── Governance Service (DAO Operations)
└── Integration Service (Game SDKs)
Performance Optimization
Caching Strategy
- Redis: Hot data and session management
- CDN: Global asset distribution
- Edge Computing: Reduced latency
- Query Optimization: Database indexing
Load Balancing
upstream backend {
least_conn;
server backend1.projectj.io:8000 weight=3;
server backend2.projectj.io:8000 weight=2;
server backend3.projectj.io:8000 weight=1;
}
6. Developer Tools
Comprehensive SDKs
Game Engine Integration
// Unity SDK Example
using ProjectJ.SDK;
public class IPIntegration : MonoBehaviour {
private ProjectJClient client;
async void Start() {
client = new ProjectJClient(apiKey);
// Check IP license
var license = await client.CheckLicense("speed-racer");
// Load NFT assets
var nfts = await client.LoadPlayerNFTs();
// Track usage for revenue share
await client.TrackUsage(nfts, gameSession);
}
}
API Documentation
RESTful API with GraphQL support:
query GetIPLicense($gameId: ID!, $ipId: ID!) {
ipLicense(gameId: $gameId, ipId: $ipId) {
id
status
terms {
revenueShare
usageRights
restrictions
}
aiRecommendation {
score
reasoning
}
humanApproval {
approved
reviewer
notes
}
}
}
Technology Advantages
1. Speed & Efficiency
- 2-second AI recommendations
- Sub-second blockchain transactions
- Real-time revenue distribution
- Instant NFT transfers
2. Reliability
- 99.99% uptime SLA
- Multi-region deployment
- Automatic failover
- Data redundancy
3. Innovation
- First human-in-the-loop IP platform
- Pioneer in IPFi features
- Leading cross-game NFT system
- Advanced AI/RAG integration
Future Technology Roadmap
2025 Q4
- Mobile SDK releases
- Advanced analytics dashboard
- Multi-chain bridges
2026
- AI model fine-tuning
- Decentralized governance
- Zero-knowledge privacy
2027+
- Quantum-resistant security
- Full decentralization
- AGI integration planning
Conclusion
Project J's technology architecture represents the convergence of AI innovation, blockchain reliability, and human expertise. By building on Sui's high-performance infrastructure and implementing sophisticated AI with human oversight, we create a platform capable of transforming the global IP licensing industry.
Our technology doesn't just solve today's problems—it's built for tomorrow's opportunities.
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