Skip to content
@qora-protocol

QoraNet

QoraNET⚡️The first real #Blockchain level #AI Training and #DEX orderbook Using , P2P and IPFS with optional token privacy standard using twins QRC-20↔QOR-20P

QORA

Executive Summary

QORA is the world's fastest Layer-1 blockchain with mandatory privacy and native social infrastructure.

  • 400ms finality (10-50x faster than any EVM chain)
  • Mandatory ZK-SNARK privacy for all tokens
  • Native encrypted Chat (video, voice), Auth (user, company), KYC (user, company), ID (@qor), Oracle (crypto , commodities, forx with signals) and AI with decentralized agent
  • Full EVM compatibility with 34 custom modules

1. What is Qora going to make?

The Product

QORA is a complete financial and social operating system built on a revolutionary DAG-based blockchain. We've solved the blockchain trilemma by building consensus from scratch instead of forking existing solutions.

Three Groundbreaking Innovations

Innovation #1: Sub-400ms Finality (Fastest in Industry)

Chain Block Time Finality Our Advantage
Ethereum 12 sec 12-15 min 120x faster
Solana 400ms 400ms 4-8x faster
Polygon 2 sec 30 min 360x faster
Avalanche 2 sec 2 sec 20x faster
QORA 400ms Instant -

How Qora will achieve this:

  • DAG Consensus: Parallel block creation instead of sequential
  • VRF/VDF Lottery: Cryptographic proposer selection (no round timeouts)
  • Proposal-First Model: Voting happens during block creation, not after
  • GHOST Fork Choice: Deterministic ordering without BFT rounds

Innovation #2: Mandatory Privacy Layer

Every token on QORA has built-in privacy using PLONK+KZG zero-knowledge proofs:

Feature Description
Shield Convert public tokens to private
Unshield Convert private tokens back to public
Private Transfer Send privately without revealing amounts
Stealth Addresses Recipients can't be linked to transactions
View Tags 99.6% faster scanning for recipients

Why mandatory? Optional privacy fails because:

  • Chainalysis can track "clean" vs "mixed" coins
  • Exchanges reject coins that touched privacy pools
  • Users who need privacy are automatically suspicious

Our approach: ALL tokens are private by default. No taint analysis possible.

Innovation #3: Native Social + AI Infrastructure

Unlike chains where chat/video are dApps, QORA has native:

Feature Technology Capability
Encrypted Chat X3DH + Kafka End-to-end encrypted DMs and groups
Video Calls LiveKit WebRTC P2P and group video with recording
Voice Calls LiveKit Audio calls with presence detection
AI Assistants vLLM/LocalAI On-chain billing, auto-reply bots
Chat Bots Webhook API Telegram-style bots for groups
Message Backup IPFS Encrypted cloud backup

Innovation #4: Enterprise Authentication (QoraAuth)

Passwordless blockchain auth for companies - like Magic Link but 5x cheaper:

Feature Description
Passwordless Login Email → 6-digit code → blockchain session
Multi-Wallet 2FA Main wallet + Auth wallet (on-chain 2FA)
Company Integration Simple API key, no complex setup
Session Management Configurable expiry, instant revocation
Zero Secrets Pure cryptographic verification

Pricing: $0.01/MAU vs Magic Link's $0.05/MAU = 80% cheaper

B2B Revenue: High-margin, sticky, recurring revenue from enterprises.


2. How far along are you?

Development Status: Production-Ready Codebase

Component Status Details
Consensus Engine ✅ Complete DAG with VRF/VDF, proposal-first model
Privacy Module ✅ Complete PLONK+KZG circuits compiled, production SRS
34 SDK Modules ✅ Complete DEX, CLOB, perpetuals, oracle, etc.
EVM Integration ✅ Complete Full compatibility with pointer contracts
Chat Service ✅ Complete Kafka integration, E2E encryption
Video/Voice ✅ Complete LiveKit integration
AI System ✅ Complete Validator coordination, billing
QoraAuth ✅ Complete Passwordless login, multi-wallet 2FA
QoraID ✅ Complete @qor or companies can create @..
QoraKYC ✅ Complete Onchain KYC infrastructure
Security Audit ✅ Complete 27 issues identified and fixed
Docker Deploy ✅ Complete Multi-node cluster ready
Public Testnet 🔄 In Progress Launching Q2 2026
Mainnet 📅 Planned Q4 2026

Codebase Statistics

Total Go Files:        1,200+
Total Lines of Code:   300,000+
Custom Modules:        34
Proto Definitions:     50+
Test Coverage:         75%+

3. Tech Stack

Core Blockchain

Layer Technology Purpose
Language Go 1.24 Performance + safety
Framework Cosmos SDK (forked) Module architecture
Consensus Custom DAG (qora-neuron) Replaces Tendermint
Privacy PLONK+KZG (gnark) ZK-SNARK proofs
Randomness Curve25519 VRF Lottery fairness
Time-Lock Quadratic Residue VDF Anti-grinding
EVM go-ethereum Smart contracts
State IAVL Tree Merkle proofs

Communication Infrastructure

Layer Technology Purpose
Messaging Apache Kafka Real-time message streaming
Video/Voice LiveKit WebRTC infrastructure
Encryption X3DH + Double Ratchet Forward secrecy
Key Exchange X25519 ECDH key agreement
Signing Ed25519 Message authentication
Storage IPFS Decentralized backup

AI Infrastructure

Layer Technology Purpose
Inference vLLM / LocalAI GPU-accelerated LLMs
Billing On-chain module Token-based payments
Verification Multi-validator Consensus on outputs
Hardware RTX 4090 / A100 Validator requirements

AI Tools Used in Development

Tool Usage
Claude Code Security audit, vulnerability fixes
GitHub Copilot Code completion

4. The 34 QORA Modules

Trading & DeFi (6 modules)

Module Purpose Key Features
DEX Batch order matching CosmWasm integration, in-memory matching
CLOB Central limit orderbook Price-time matching, MEV protection
PERPETUALS Leveraged trading Funding rates, liquidation engine
LEVERAGE Lending protocol Cross-collateral, interest rates
PRICES Price tracking Historical snapshots, oracle integration
ORACLE Asset pricing Validator voting, weighted median

Privacy & Security (3 modules)

Module Purpose Key Features
PRIVACY ZK-SNARK transfers Shield/unshield, stealth addresses
QRC20 Privacy tokens Mandatory privacy, auto EVM pointer
RATELIMIT DoS protection Per-address limits, configurable

Account & Auth (4 modules)

Module Purpose Key Features
ACCOUNTPLUS Smart accounts Custom authentication, plugins
SUBACCOUNTS Account hierarchy Sub-account permissions
QORAAUTH Multi-wallet auth 2-wallet security, company login
TOKENFACTORY Token creation Permissionless, admin controls

Communication (3 modules)

Module Purpose Key Features
CHAT On-chain messaging E2E encryption, groups, bots
AI AI integration Inference billing, model registry
SENDING Coin transfers Multi-recipient, conditional

Infrastructure (10 modules)

Module Purpose
EVM Ethereum compatibility
EPOCH Time-based events
MINT Token inflation
REWARDS Reward distribution
REVSHARE Revenue sharing
AFFILIATES Referral system
VAULT Token lockup
VEST Vesting schedules
FEETIERS Dynamic fees
BRIDGE Cross-chain transfers

Utilities (8 modules)

Module Purpose
ASSETS Asset metadata
LISTING Asset whitelisting
GOVPLUS Enhanced governance
INDEXER TX indexing
STATS Analytics
DELAYMSG Scheduled execution
BLOCKTIME Block timing
STORE KV utilities

5. Consensus Deep Dive

Why Tendermint is the Bottleneck

Traditional Cosmos chains use Tendermint BFT:

Round 0: Propose (wait for timeout)
       ↓
       Prevote (wait for 2/3 votes)
       ↓
       Precommit (wait for 2/3 votes)
       ↓
       Commit

Each round: 250-500ms minimum
Total: 1-3 seconds per block

QORA's DAG Consensus

Parallel Block Creation:
  Validator A creates block ──┐
  Validator B creates block ──┼── All in parallel
  Validator C creates block ──┘
         ↓
  VRF Lottery (instant winner selection)
         ↓
  Async Vote Collection (during next block creation)
         ↓
  Instant Finality (on 2/3+ votes)

Total: 50-100ms per level

Key Innovations

1. VRF Lottery (Verifiable Random Function)

// Instead of round-robin proposer selection:
winner = validator with lowest VRF_output
where VRF_output = VRF_prove(private_key, slot_number)

// Stake-weighted: more stake = more lottery tickets
threshold = base_threshold / voting_power
eligible = VRF_output < threshold

Benefits:

  • No waiting for "your turn"
  • Unpredictable winner (MEV protection)
  • Verifiable by all validators

2. VDF Time-Lock (Verifiable Delay Function)

// Prevents grinding attacks
VDF_output = compute_VDF(VRF_output, difficulty)
// Takes ~14 seconds to compute
// Takes ~350ms to verify

// Next block's VRF input includes VDF output
// Attacker can't try multiple VRF inputs quickly

3. Proposal-First Consensus

// Traditional: Block → Vote → Finalize
// QORA: Proposal → Async Vote → Finalized Block

type Proposal struct {
    BlockData      []byte
    ExecutionResult StateRoot  // Pre-computed!
    VRFProof       []byte
    VDFProof       []byte
}

// Voting happens while next proposal is created
// No wasted time waiting for consensus

4. GHOST Fork Choice

// Heaviest sub-DAG wins (not longest chain)
func weight(block) uint64 {
    return 1 + sum(weight(child) for child in block.children)
}

// Deterministic: all validators agree on same fork
// Fast: no BFT rounds needed

Performance Comparison

Metric Tendermint QORA DAG Improvement
Block Time 1-3 sec 50-100ms 10-60x
Finality 2 rounds Instant Eliminated
Proposers/block 1 Many Parallel
TX Latency 3-6 sec 100-200ms 15-60x
Throughput 10k TPS 100k+ TPS 10x+

6. Privacy Architecture

The Problem with Optional Privacy

User A: Has 100 ETH
User A: Sends 50 ETH to Tornado Cash
User A: Withdraws 50 ETH from Tornado Cash
Chain analysis: "These 50 ETH touched a mixer = suspicious"
Exchange: "We won't accept these coins"

Result: Optional privacy creates a two-tier system where private coins are worth less.

QORA's Solution: Mandatory Privacy

All QRC20 tokens are private by default
Public ←→ Private conversion via Shield/Unshield
No way to identify "mixed" vs "clean" coins
All coins are equal

ZK-SNARK Implementation

Circuit Types

Circuit Constraints Purpose
ShieldCircuit 885 Public → Private
UnshieldCircuit 19,552 Private → Public
PrivateTransferCircuit 19,553 Private → Private

Cryptographic Primitives

Primitive Implementation Purpose
Curve BN254 (BabyJubJub) ZK-friendly elliptic curve
Hash MiMC ZK-friendly hash function
Commitment Pedersen Binding + hiding
Proof System PLONK+KZG Succinct proofs
SRS Aztec Powers of Tau Trusted setup

Transaction Flow

Shield (Public → Private):
1. User has 100 QORA publicly
2. Creates commitment = MiMC(secret, amount, blinding)
3. Proves knowledge of preimage (ZK proof)
4. Public balance decreases, commitment added to Merkle tree

Private Transfer:
1. Prove ownership of input commitment
2. Create nullifier = hash(secret, commitment)
3. Create new commitment for recipient
4. ZK proof: input_amount = output_amount (no inflation)

Unshield (Private → Public):
1. Prove ownership of commitment
2. Reveal nullifier (prevents double-spend)
3. Public balance increases

Stealth Addresses

Recipient Setup:
- Generate scan_key (for finding payments)
- Generate spend_key (for spending)
- Publish stealth_address = (scan_pubkey, spend_pubkey)

Sender:
1. Generate ephemeral_key
2. Compute shared_secret = ECDH(ephemeral_key, scan_pubkey)
3. Derive one-time address from shared_secret
4. Include view_tag = hash(shared_secret)[0] (1 byte)

Recipient Scanning:
1. For each TX, check view_tag (filters 99.6%)
2. If match, compute shared_secret
3. Derive address, check if spendable

7. Social Infrastructure

Why Native vs dApp?

Aspect dApp Approach Native Approach
Key Management Separate from wallet Derived from wallet
Encryption App-specific Protocol-level
Interop None All apps share keys
Privacy App decides Mandatory
Payments Bridge needed Seamless

Chat Architecture

┌─────────────────────────────────────────────────────────┐
│                    QORA CHAT SERVICE                     │
├─────────────────────────────────────────────────────────┤
│                                                          │
│  ┌──────────┐    ┌──────────┐    ┌──────────────────┐  │
│  │  Client  │───▶│   API    │───▶│  Kafka Topics    │  │
│  │ (WebSocket)   │  Server  │    │                  │  │
│  └──────────┘    └──────────┘    │ dm.{user1}_{user2}│  │
│                                   │ group.{groupId}   │  │
│                                   │ presence          │  │
│  ┌──────────┐    ┌──────────┐    │ typing            │  │
│  │ Blockchain│◀──│  Event   │◀───│ calls             │  │
│  │  Module  │    │ Handler  │    └──────────────────┘  │
│  └──────────┘    └──────────┘                          │
│                                                          │
└─────────────────────────────────────────────────────────┘

Encryption Protocol

X3DH Key Agreement:
1. Alice fetches Bob's prekey bundle
   - Identity key (long-term)
   - Signed prekey (rotates monthly)
   - One-time prekey (single use)

2. Alice computes shared secrets:
   DH1 = ECDH(Alice_identity, Bob_signed_prekey)
   DH2 = ECDH(Alice_ephemeral, Bob_identity)
   DH3 = ECDH(Alice_ephemeral, Bob_signed_prekey)
   DH4 = ECDH(Alice_ephemeral, Bob_one_time_prekey)

3. Master secret = KDF(DH1 || DH2 || DH3 || DH4)

4. Double Ratchet for forward secrecy
   - New keys derived for each message
   - Compromise of current key doesn't reveal past messages

Video/Voice Architecture

┌──────────────────────────────────────────────────────────┐
│                    LIVEKIT INTEGRATION                    │
├──────────────────────────────────────────────────────────┤
│                                                           │
│  ┌─────────┐         ┌─────────────┐         ┌─────────┐│
│  │  User A │◀───────▶│  LiveKit    │◀───────▶│  User B ││
│  │ (WebRTC)│         │   Server    │         │ (WebRTC)││
│  └─────────┘         └─────────────┘         └─────────┘│
│       │                     │                     │      │
│       ▼                     ▼                     ▼      │
│  ┌─────────────────────────────────────────────────────┐│
│  │                  QORA BLOCKCHAIN                    ││
│  │  - Call billing (per minute)                       ││
│  │  - Recording storage (IPFS CID)                    ││
│  │  - Participant tracking                            ││
│  └─────────────────────────────────────────────────────┘│
│                                                           │
└──────────────────────────────────────────────────────────┘

AI Assistant System

┌──────────────────────────────────────────────────────────┐
│                    AI ASSISTANT FLOW                      │
├──────────────────────────────────────────────────────────┤
│                                                           │
│  1. User configures assistant profile:                    │
│     - Business name & description                         │
│     - Products/services list                              │
│     - FAQ with Q&A pairs                                  │
│     - Response guidelines                                 │
│     - Working hours                                       │
│                                                           │
│  2. Message arrives in chat                               │
│     ↓                                                     │
│  3. Assistant manager checks:                             │
│     - Is auto-reply enabled?                              │
│     - Within working hours?                               │
│     - Matches keyword filters?                            │
│     ↓                                                     │
│  4. Generate response via qora-ai:                        │
│     - Context: user profile + message history             │
│     - Model: QoraFast-1.0 (or configured)                │
│     - Billing: tokens charged on-chain                    │
│     ↓                                                     │
│  5. Send reply with delay (configurable)                  │
│                                                           │
└──────────────────────────────────────────────────────────┘

8. Market Opportunity

Total Addressable Market

Segment Market Size QORA's Position
DeFi TVL $50B+ Privacy-first DeFi
Private Transactions $10B+ (pre-Tornado shutdown) Only mandatory privacy L1
Encrypted Messaging 2B+ users Crypto-native alternative
AI Inference $100B+ by 2030 Decentralized, verifiable
L1 Market Cap $500B+ Faster + more private

Why Now?

  1. Regulatory clarity emerging - Privacy is legal, mixers aren't
  2. Tornado Cash proved demand - $8B+ TVL before shutdown
  3. Solana proved speed matters - $70B market cap
  4. Telegram proved social demand - 900M users
  5. AI explosion - Need for verifiable, decentralized inference

9. Competitive Analysis

Speed Comparison

                    Block Time        Finality
                    ──────────        ────────
Ethereum            12 seconds        12-15 minutes
Polygon             2 seconds         30 minutes
Avalanche           2 seconds         2 seconds
Solana              400ms             400ms
QORA                50-100ms          INSTANT
                    ▲                 ▲
                    │                 │
                    └── 4-8x faster ──┘

Privacy Comparison

Chain Privacy Type Mandatory? Smart Contracts?
Monero Ring signatures Yes No
Zcash zk-SNARKs No (optional) Limited
Secret Network TEE (hardware) Yes Yes
Tornado Cash Mixer N/A (shut down) Ethereum only
QORA PLONK+KZG Yes Full EVM

Feature Comparison

Feature ETH SOL ATOM SECRET QORA
Fast Finality
Privacy
EVM
Native Chat
Native Video
Native AI
Enterprise Auth
DEX/Orderbook dApp dApp dApp dApp ✅ Native

10. Revenue Model

Transaction Fees

Fee Type Rate Comparable
Base TX fee 0.001 QORA Ethereum gas
Privacy operations 0.01 QORA ZK proof verification
Smart contract calls Variable Based on computation
Auth operations 0.001 QORA Per login/session

Protocol Revenue Streams

Stream Model Year 1 Year 3
TX Fees 0.1% of volume $1M $50M
Privacy Fees Per shield/unshield $500K $20M
AI Inference Per token $500K $100M
Chat Backup Per MB/month $100K $10M
DEX Trading Maker/taker fees $1M $200M
Perpetuals Funding + fees $500K $100M
QoraAuth (B2B) Per MAU + API calls $2M $150M
Total $5.6M $630M

QoraAuth: Enterprise Authentication (HIGH MARGIN B2B)

What it is: Passwordless blockchain authentication for companies - like Magic Link but native to QORA.

How it works:

1. Company registers → Gets API key
2. User clicks "Login with QORA" on company website
3. User receives email/push with 6-digit code
4. User confirms → Blockchain creates session
5. Company verifies session via API

Key Features:

Feature Description
Passwordless Login Email → blockchain wallet binding
Multi-Wallet Security Main wallet + Auth wallet (2FA on-chain)
Session Management Configurable expiry, revocation
Zero Secrets Stored Pure cryptographic verification
API Key Billing Pay-per-use or monthly plans

Competitive Landscape:

Competitor Pricing Weakness QORA Advantage
Magic Link $0.05/MAU Centralized, no crypto-native Native blockchain identity
Web3Auth $0.02/MAU Complex setup, middleware Single-chain, simple
Privy $0.03/MAU VC-dependent, can change terms Decentralized, immutable
Dynamic Custom Enterprise only Self-service + enterprise
QORA Auth $0.01/MAU - Cheapest + most features

Revenue Projection:

Metric Year 1 Year 2 Year 3
Companies 100 1,000 10,000
Avg MAU/Company 10,000 25,000 50,000
Total MAUs 1M 25M 500M
Revenue/MAU $0.01 $0.01 $0.01
API Call Revenue $1M $10M $100M
Total Auth Revenue $2M $35M $150M

Why This is a Big Opportunity:

  1. Low Competition: No blockchain-native auth at scale
  2. High Margins: Pure software, minimal infrastructure
  3. Sticky Revenue: Companies don't switch auth providers
  4. Network Effects: More companies = more users = more value
  5. Upsell Path: Auth → Chat → Payments → Full stack

Token Economics

Total Supply: 1,000,000,000 QORA

Distribution:
- Team & Advisors: 15% (4-year vest, 1-year cliff)
- Investors: 20% (2-year vest)
- Ecosystem Fund: 25% (grants, partnerships)
- Community: 30% (airdrops, rewards)
- Treasury: 10% (protocol development)

Inflation: 5% year 1, decreasing 1% annually to 2% floor

11. Roadmap

2026 Q2: Public Testnet

  • Launch incentivized testnet
  • Bug bounty program
  • Developer documentation
  • SDK release

2026 Q4: Mainnet Launch

  • Genesis block
  • Initial validator set
  • Bridge to Ethereum
  • DEX launch

2021 Q1: Ecosystem Growth

  • Grant program
  • Hackathons
  • Mobile wallet
  • Chat app release

2027 Q2: Enterprise Features

  • Company authentication
  • Compliance tools
  • Institutional custody
  • Advanced AI models

12. Team

[To be filled with team information]


13. Contact

  • Website: [Coming Soon]
  • GitHub: github.com/qora-protocol
  • Twitter: [Coming Soon]
  • Discord: [Coming Soon]

Appendix A: Security Audit Summary

Issues Found and Fixed

Severity Count Status
CRITICAL 8 ✅ All Fixed
HIGH 7 ✅ All Fixed
MEDIUM 12 ✅ All Fixed
Total 27 ✅ Complete

Key Fixes

  1. Goroutine Deadlock - Fixed lock management in voting
  2. Race Conditions - Added proper synchronization
  3. Overflow Protection - Safe math for voting power
  4. Memory Limits - Bounded queues and maps
  5. Timestamp Validation - Future block rejection
  6. Privacy Leaks - Removed debug statements

Appendix B: Technical Specifications

Consensus Parameters

Parameter Value
Block Time Target 50-100ms
Finality Threshold 2/3 voting power
VDF Difficulty 1024-bit quadratic residue
VDF Compute Time ~14 seconds
VDF Verify Time ~350ms
Checkpoint Interval 500 levels
Max Ahead Gap 500 levels

Privacy Parameters

Parameter Value
Curve BN254 (BabyJubJub)
Proof System PLONK+KZG
SRS Aztec Powers of Tau (2^20)
Merkle Depth 32 levels
Nullifier Size 32 bytes
View Tag Size 1 byte

Network Parameters

Parameter Value
Max Block Size 4 MB
Max TX Size 1 MB
P2P Protocol Custom (libp2p-based)
RPC Tendermint-compatible
gRPC Cosmos SDK standard

Pure Rust AI Infrastructure for the Privacy-First Blockchain


Building AI models that run without Python, without cloud, without paid APIs. Just Rust. Just your machine. Just freedom.


🧠 What We're Building

QoraNet is building the world's first privacy-first blockchain with native AI infrastructure — and we're open-sourcing the AI models that power it.

Our AI stack is built entirely in Rust using the Burn framework. No Python runtime. No PyTorch. No TensorFlow. No CUDA dependency. No C++ libraries.

One binary. Zero dependencies. Runs anywhere.


🔥 Released Models

QORA-LLM

Pure Rust inference engine — no Python, no CUDA, no external dependencies

Detail Spec
Architecture SmolLM3-3B based
Language Pure Rust (Burn framework)
Dependencies Zero external ML libraries
Quantization Optimized for local execution
Platforms Windows, macOS, Linux, iOS, Android
GPU Required No — runs on CPU
API Key Required No
Cost Free forever
# Clone and run — that's all you need
git clone https://github.com/qora-protocol/qora-llm
cd qora-llm
cargo run --release

🗺️ Roadmap — What's Coming

We're building a complete multi-modal AI suite in pure Rust:

Model Status Description
QORA-LLM ✅ Released Language model — chat, reasoning, code
QORA-TTS ✅ Released Text-to-speech — voice synthesis
QORA-Vision ✅ Released Image + video understanding
QORA-STT ✅ Released Speech-to-text — voice input
QORA-Agent 📅 Planned Autonomous AI agent with tool use

Each model follows the same philosophy: pure Rust, zero dependencies, runs locally, free forever.


🏗️ Part of the QoraNet Ecosystem

Our AI models are a core component of the QoraNet blockchain — the world's fastest Layer-1 with mandatory privacy.

┌─────────────────────────────────────────────┐
│            QoraNet Blockchain               │
│          400ms Finality • 100k+ TPS         │
├─────────────┬───────────┬───────────────────┤
│  Privacy    │  DeFi     │  Social           │
│             │           │                   │
│  ZK-SNARKs  │  DEX      │  Encrypted Chat   │
│  PLONK+KZG  │  CLOB     │  Video/Voice      │
│  Stealth    │  Perps    │  AI Assistants    │
│  Addresses  │  Oracle   │  Bot Framework    │
├─────────────┴───────────┴───────────────────┤
│              AI Infrastructure              │
│                                             │
│  QORA-LLM • QORA-TTS • QORA-Vision          │
│  Pure Rust • On-chain billing • Verifiable  │
│  Decentralized inference across validators  │
└─────────────────────────────────────────────┘

Key Blockchain Features

  • 400ms instant finality — 10-50x faster than any EVM chain
  • Mandatory ZK-SNARK privacy — all tokens private by default
  • 34 native modules — DEX, orderbook, perpetuals, oracle, chat, AI, auth, KYC, and more
  • Full EVM compatibility — deploy Solidity contracts with built-in privacy
  • Native encrypted chat — E2E encrypted messaging, video, and voice calls
  • On-chain AI billing — token-based payments for AI inference

🔐 Our AI Philosophy

Principle What It Means
Pure Rust No Python, no C++ FFI, no heavy runtimes
Zero Dependencies Single binary, nothing else to install
Local First Runs on your hardware, not our servers
Privacy by Default Your data never leaves your machine
Free Forever No API keys, no subscriptions, no limits
Cross Platform Windows, macOS, Linux, iOS, Android
Open Source Fully auditable, community-driven

⚡ Why Rust for AI?

Most AI models require Python + PyTorch + CUDA. We took a different path:

Python Stack QoraNet (Rust)
Install size 2-10 GB Single binary
Startup time 10-30 seconds < 1 second
Memory usage High (GC overhead) Minimal (zero-cost abstractions)
GPU required Usually yes No
Cross-compile Painful Native
Security Runtime errors Compile-time safety
Deployment Docker + dependencies Copy one file

🤝 Community & Contributing

We're building in the open and welcome contributions:


📜 License

Our AI models are open source. See individual model repos for specific license details.


Built with 🦀 Rust and 🔥 Burn

AI should be private, fast, free, and yours. We're making that real.

QoraNet — The Privacy-First Blockchain Infrastructure for AI

---

Last updated: January 2026

Pinned Loading

  1. QORA-Vision-Video QORA-Vision-Video Public

    Pure Rust video action classification engine based on ViViT. Classifies video clips into 400 action categories from Kinetics-400. No Python runtime, no CUDA, no external dependencies.

  2. QORA-Vision-Image QORA-Vision-Image Public

    Pure Rust image understanding engine based on SigLIP 2. Zero-shot image classification, image embeddings, and image-text similarity. No Python runtime, no CUDA, no external dependencies.

  3. QORA-TTS QORA-TTS Public

    Pure Rust text-to-speech synthesis engine. No Python runtime, no CUDA, no external dependencies. Single executable + quantized weights = portable TTS on any machine.

  4. QORA-LLM QORA-LLM Public

    Pure Rust inference engine for the SmolLM3-3B language model. No Python runtime, no CUDA, no external dependencies. Single executable + quantized weights = portable AI on any machine.

Repositories

Showing 10 of 24 repositories

Top languages

Loading…

Most used topics

Loading…