Quanti

Quanti is a sovereign AI gateway that processes artificial intelligence workloads using DNA-native computation instead of traditional binary processing. Built on QVTX's quaternary encoding architecture, Quanti represents the world's first commercially available AI platform that operates on biological computing principles.

Key Capabilities

• Multi-Model AI Access: Unified gateway to OpenAI, Anthropic, Google, Perplexity, and more
• DNA-Native Processing: Quaternary (A, T, G, C) encoding for all computations
• ByteID Tracking: Immutable content-addressable storage for all requests and responses
• Codon-Based Execution: 64-state instruction set derived from genetic code
• Resonance Scheduling: Priority-based resource allocation using frequency coherence
• Self-Healing Architecture: Autonomous error detection and recovery

Quaternary Encoding (A, T, G, C)

Unlike traditional computers that use binary (0, 1), Quanti operates on quaternary encoding using the four DNA nucleotides:

Codon-Based Computation

A codon is a sequence of three nucleotides (e.g., ATG, TAA, GCC). With 4 nucleotides and 3 positions, there are 64 possible codons (4³ = 64). Each codon represents a specific operation or instruction.

// Example: Codon Instruction Set
ATG = START (Begin execution)
TAA = STOP (End execution)
GCC = STORE (Write to memory)
AAA = LOAD (Read from memory)
TGC = ADD (Addition operation)
CAT = MULTIPLY (Multiplication operation)
...and 58 more codon operations

This gives Quanti a 64-state instruction set compared to binary's 2-state system, enabling more efficient encoding of complex operations.

Request Processing Flow

1. Request Reception: API request received in standard JSON format
2. DNA Encoding: Request data converted to quaternary (A, T, G, C) nucleotides
3. Codon Translation: Nucleotide sequences grouped into codons for processing
4. ByteID Generation: Content hash created using QVTX encounter system
5. AI Model Routing: Request routed to appropriate AI model based on codon instructions
6. Response Compression: AI response compressed using DNA encoding (40:1 ratio)
7. Chain Storage: ByteID stored on QVTX DNA Expression Chain (Chain 42000)
8. Response Delivery: Decoded response returned to client

7-Layer Biological Architecture

Quanti implements a biological alternative to the OSI model, replacing traditional network layers with DNA-based processing layers:

System Components

How DNA Compression Works

Traditional binary storage uses 8 bits per byte. DNA encoding uses 4 nucleotides (A, T, G, C), each representing 2 bits of information. By grouping nucleotides into codons (3 nucleotides = 64 states), we achieve massive compression.

Compression Examples

Text Compression

Original Text: "Hello, World!" (13 bytes = 104 bits)

Binary Encoding:
01001000 01100101 01101100 01101100 01101111 00101100 00100000
01010111 01101111 01110010 01101100 01100100 00100001

DNA Encoding (Quaternary):
ATG CAT GCC TAA TGC CAA TAG GCC TAA CCA GCC CAT AAA

Result: 13 codons (39 nucleotides) vs 104 bits
Compression: 62.5% reduction

JSON Compression

Original JSON: {"model":"gpt-4","prompt":"Hello"} (38 bytes)

Binary: 304 bits

DNA: 76 nucleotides (25 codons)

Compression: 75% reduction

Base Endpoint

https://quanti.qvtx.io/api/v1

Authentication

All API requests require an API key passed in the Authorization header:

Authorization: Bearer YOUR_API_KEY

Chat Completion

Send a chat completion request to any supported AI model.

Endpoint

POST /chat/completions

Request Body

{
  "model": "gpt-4",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "What is DNA computing?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 500,
  "dna_compress": true,
  "store_byteid": true
}

Response

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1714435200,
  "model": "gpt-4",
  "byteid": "QVTX-a1b2c3d4-e5f6g7h8-i9j0k1l2-m3n4",
  "compression_ratio": 40.2,
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "DNA computing is..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 85,
    "total_tokens": 100,
    "codons_executed": 4632
  }
}

Voice AI

Convert text to speech using DNA-compressed audio encoding.

Endpoint

POST /voice/generate

Request Body

{
  "text": "Hello, this is a test of DNA-based voice synthesis.",
  "voice": "nova",
  "format": "mp3",
  "dna_compress": true,
  "compression_factor": 50
}

Response

{
  "audio_url": "https://storage.qvtx.io/audio/abc123.mp3",
  "byteid": "QVTX-AUDIO-a1b2c3d4-e5f6g7h8",
  "duration_seconds": 4.2,
  "original_size_kb": 125,
  "compressed_size_kb": 2.5,
  "compression_ratio": 50.0
}

ByteID Lookup

Retrieve previous requests/responses by ByteID.

Endpoint

GET /byteid/{byteid}

Response

{
  "byteid": "QVTX-a1b2c3d4-e5f6g7h8-i9j0k1l2-m3n4",
  "type": "chat_completion",
  "created": 1714435200,
  "model": "gpt-4",
  "request": {...},
  "response": {...},
  "blockchain_tx": "0xabc123...",
  "chain_id": 42000
}

JavaScript/Node.js SDK

Installation

npm install @qvtx/quanti-sdk

Usage

const Quanti = require('@qvtx/quanti-sdk');

const client = new Quanti({
  apiKey: process.env.QUANTI_API_KEY,
  dnaCompress: true,
  storeByteid: true
});

// Chat completion
const response = await client.chat.completions.create({
  model: 'gpt-4',
  messages: [
    { role: 'user', content: 'Explain DNA computing' }
  ]
});

console.log(response.choices[0].message.content);
console.log('ByteID:', response.byteid);
console.log('Compression:', response.compression_ratio + ':1');

Python SDK

Installation

pip install qvtx-quanti

Usage

from qvtx import Quanti

client = Quanti(
    api_key="your_api_key",
    dna_compress=True,
    store_byteid=True
)

# Chat completion
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "user", "content": "Explain DNA computing"}
    ]
)

print(response.choices[0].message.content)
print(f"ByteID: {response.byteid}")
print(f"Compression: {response.compression_ratio}:1")

cURL Examples

# Chat completion
curl https://quanti.qvtx.io/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4",
    "messages": [{"role": "user", "content": "Hello"}],
    "dna_compress": true
  }'

# ByteID lookup
curl https://quanti.qvtx.io/api/v1/byteid/QVTX-abc123 \
  -H "Authorization: Bearer YOUR_API_KEY"

Multi-Model Comparison

Query multiple AI models simultaneously and compare results.

const models = ['gpt-4', 'claude-3-opus', 'gemini-pro'];
const prompt = 'Explain quantum computing in simple terms';

const responses = await Promise.all(
  models.map(model =>
    client.chat.completions.create({
      model,
      messages: [{ role: 'user', content: prompt }]
    })
  )
);

responses.forEach((res, i) => {
  console.log(`\n${models[i]}:`);
  console.log(res.choices[0].message.content);
  console.log(`ByteID: ${res.byteid}`);
  console.log(`Codons: ${res.usage.codons_executed}`);
});

Voice Generation with DNA Compression

Generate high-quality voice audio with 50x compression.

const voiceResponse = await client.voice.generate({
  text: 'Welcome to the future of AI processing',
  voice: 'nova',
  format: 'mp3',
  dna_compress: true,
  compression_factor: 50
});

console.log(`Audio URL: ${voiceResponse.audio_url}`);
console.log(`Original: ${voiceResponse.original_size_kb}KB`);
console.log(`Compressed: ${voiceResponse.compressed_size_kb}KB`);
console.log(`Ratio: ${voiceResponse.compression_ratio}:1`);
console.log(`ByteID: ${voiceResponse.byteid}`);

// Download and play
const audio = await fetch(voiceResponse.audio_url);
// Play audio...

Document Processing Pipeline

Extract, analyze, and store documents with ByteID tracking.

// Upload and process document
const doc = await client.documents.process({
  file: './contract.pdf',
  extract_text: true,
  dna_compress: true
});

// Analyze with AI
const analysis = await client.chat.completions.create({
  model: 'gpt-4',
  messages: [
    {
      role: 'system',
      content: 'Analyze this legal contract for key terms'
    },
    {
      role: 'user',
      content: doc.extracted_text
    }
  ]
});

// Store both on-chain
console.log(`Document ByteID: ${doc.byteid}`);
console.log(`Analysis ByteID: ${analysis.byteid}`);

// Retrieve later by ByteID
const stored = await client.byteid.get(doc.byteid);

DNA-Based Voice Compression

Quanti's voice AI achieves 50x compression for voice data using cellular DNA signal compression technology (Patent #31). This enables:

• Ultra-low bandwidth: Stream high-quality voice over limited connections
• Massive storage savings: Store hours of audio in megabytes, not gigabytes
• Real-time processing: Generate and compress voice on-the-fly
• Blockchain archival: Store voice ByteIDs on-chain for immutable records

Supported Voices

AI-Powered Video Creation

Generate videos from text prompts using DNA-compressed storage and processing:

• Text-to-Video: Create videos from natural language descriptions
• Image-to-Video: Animate static images with AI
• Video Editing: Apply AI-powered effects and transitions
• Frame Compression: Store video frames in DNA encoding for 40:1 savings

Intelligent Document Analysis

Extract, analyze, and store documents using AI and DNA compression:

• OCR & Text Extraction: Extract text from PDFs, images, scans
• AI Analysis: Summarize, classify, extract entities
• Semantic Search: Search across documents using natural language
• DNA Storage: Compress and store documents at 40:1 ratio
• ByteID Indexing: Content-addressable storage for instant retrieval

Supported Formats

Get Help

Frequently Asked Questions

What makes Quanti different from other AI APIs?

Quanti is the only AI gateway that processes requests using DNA-native computation instead of binary. This enables 40:1 compression, immutable ByteID tracking, and sovereign data ownership.

Can I use my own AI models?

Yes! Enterprise customers can deploy custom models on Quanti's DNA-native infrastructure. Contact our sales team for details.

How does DNA compression work?

DNA compression uses quaternary encoding (A, T, G, C) instead of binary (0, 1). By grouping nucleotides into codons (64 possible states), we achieve much higher information density than traditional compression.

Is my data secure?

Absolutely. All data is encrypted in transit and at rest. ByteIDs stored on-chain contain only content hashes, not actual data. Enterprise customers can opt for on-premise deployment for complete data sovereignty.

What is a ByteID?

A ByteID is a unique content-addressable identifier generated using QVTX's DNA encounter system. It serves as an immutable reference to data stored on the QVTX blockchain (Chain 42000).