Technologies

Architectural Philosophy

Noomis AI Architecture - Hybrid Neural Ecosystem with Quantum-Secure Orchestration

Proprietary innovations
Cutting-edge open models (Llama 3, DeepSeek, Gemini, etc.)
Cloud and decentralized infrastructure

Multi-Layered Core Architecture: DeepNoom 2.0

The Adaptive Neuro-Orchestrator operates as follows:

Orchestration Mechanics

Dynamic Load Balancing: Real-time model switching using reinforcement learning (PPO algorithm)
Context Preservation: Compressed knowledge graphs storing 500K+ context tokens
Quantum Noise Injection: Patent-pending entropy modulation for creative tasks:

def modulate_creativity(hidden_states, creativity_score):
    if creativity_score > 7.0:
        noise = quantum_rng.generate_noise()
        return hidden_states + (0.2 * noise)
    return hidden_states

Hybrid Infrastructure Stack

Layer

Technology

Use Case

Performance

Edge

NoomX1 Memristor Chips

Digital twin training

37 TOPS/W @ 28nm

On-Prem

NVIDIA DGX H100

Sensitive data processing

4 petaFLOPS/cluster

Cloud

AWS Inferentia2

Mass content generation

100k req/sec

DeCentral

Render Network

Video rendering

50% faster than centralized

Core Technological Components

Proprietary DeepNoom Engine

FUNCTION

TECHNICAL IMPLEMENTATIO

Personalized Learning

Style/preference analysis via knowledge graphs (500K+ token capacity)

Workflow Orchestration

Dynamic request routing across 7+ AI engines

Data Protection

Zero-Knowledge Proofs + Homomorphic Encryption

Integrated AI Engines

MODEL

SPECIALIZATION

UNIQUE APPLICATION

Llama 3-405B

Base logic & automation

Business process optimization

DeepSeek-V3

Deep data analytics

Crypto/NFT trend forecasting

Gemini Ultra

Fact verification

Financial data validation

Stable Diffusion XL

Visualization

Digital twin generation

Hybrid Infrastructure

Computational Layers:

infrastructure = {
    "On-Premise": [
        "NVIDIA DGX H100 clusters: Private data processing",
        "NoomX1 chips (28nm memristors): 37 TOPS/W efficiency"
    ],
    "Cloud Integration": [
        "AWS Inferentia: High-scale content generation",
        "Google Cloud TPU v4: Complex analytics"
    ],
    "Decentralization": [
        "Filecoin: Immutable content storage",
        "Render Network: Video rendering (Proof-of-Render)"
    ]
}

Blockchain Integration:

$NOOM token smart contracts for creator payouts
User preference storage on Arweave
NFT-based content authentication via Polygon ID

Breakthrough Innovations

Adaptive Query Routing:

def select_engine(task: Task) -> str:
    if task.creativity > 8.0: 
        return 'gemini-ultra'
    elif task.security_level == "high": 
        return 'self-hosted-llama3'
    elif task.speed_critical: 
        return 'deepseek-128k'
    else: 
        return 'noom-core'

NeuroTwin™ Technology (Digital Twins)

Layer

Tech Stack

Accuracy

Training Time

Visual

NeRF + Gaussian Splatting

98.7%

<15 mins

Vocal

VALL-E X + Custom Prosody

99.1%

8 mins audio

Semantic

LLaMA-3 + Neuro-Symbolic AI

96.4%

30k tokens

Key Innovations

Homomorphic Encryption: Math operations on encrypted data (Microsoft SEAL)
Quantum Key Distribution: CRYSTALS-Kyber lattice-based cryptography
Steganographic Watermarks: Latent space embeddings in diffusion models

Security & Performance

Data Protection:

Quantum Encryption: CRYSTALS-Kyber (NIST Standard)
Multi-Factor Auth: Biometrics + Post-Quantum TLS 1.3
Steganography: Neural watermarks in diffusion latent space

Enterprise Integration Framework

API Ecosystem

interface NoomAPI {
  generateContent(prompt: string, engine?: EngineType): Promise<ContentBundle>;
  createDigitalTwin(media: MediaSet): Promise<TwinID>;
  deployWorkflow(config: AutomationConfig): Pipeline;
}

// Web3 Integration Example
noom.connectWallet(provider).then(() => {
  noom.mintContentNFT(contentHash, metadata);
});

Supported Integrations