CIRO Network Manifesto
The Future of Verifiable AI Compute: A Decentralized Infrastructure for Trustless Artificial Intelligence
Executive Summary
CIRO Network represents a paradigm shift in artificial intelligence infrastructure, introducing the world's first verifiable compute layer that enables trustless AI operations at planetary scale.
By combining zero-knowledge cryptography, decentralized worker nodes, and economic incentive mechanisms, CIRO solves the fundamental trust problem in AI compute while delivering unprecedented scalability, security, and cost efficiency.
Trust Layer
Zero-knowledge proofs ensure computational integrity without revealing sensitive data or models.
Scale Layer
Distributed compute nodes provide unlimited horizontal scaling for any AI workload.
Economic Layer
Market-driven pricing and tokenized incentives optimize resource allocation and cost efficiency.
Key Innovations
Verifiable AI Compute
First protocol to enable cryptographically verifiable AI inference and training
Privacy-Preserving ML
Execute AI models without exposing training data or model parameters
Elastic Scaling
Dynamically allocate compute resources based on real-time demand
Economic Sustainability
Self-regulating economy with deflationary token mechanics
Vision & Philosophy
"The future of artificial intelligence lies not in centralized control, but in decentralized trust."
The Trust Problem in AI
Today's AI infrastructure suffers from fundamental trust asymmetries. Users must trust centralized providers with sensitive data, model weights, and computational integrity. This creates systemic risks: data breaches, model theft, censorship, and single points of failure that can paralyze entire AI ecosystems.
Our Philosophical Foundation
Decentralization
No single entity should control the infrastructure that powers human intelligence augmentation. CIRO distributes compute, governance, and economic value across a global network of participants.
Verifiability
Every computation must be cryptographically provable. Trust is replaced with mathematical certainty, enabling secure AI operations even in adversarial environments.
Privacy
Data and models remain private by default. Zero-knowledge proofs enable computation on encrypted data without ever exposing sensitive information to compute providers.
Accessibility
AI compute should be accessible to everyone, not just tech giants. CIRO democratizes access to high-performance infrastructure through market-driven pricing and permissionless participation.
The CIRO Vision
We envision a future where artificial intelligence development is:
- Trustless: Cryptographic proofs eliminate the need to trust centralized providers
- Borderless: Global compute resources accessible to anyone, anywhere
- Censorship-resistant: No central authority can block or manipulate AI workloads
- Economically efficient: Market mechanisms optimize resource allocation and pricing
Technical Architecture
CIRO Network's technical architecture consists of four primary layers that work in concert to deliver verifiable, scalable, and secure AI compute. Each layer is designed with cryptographic guarantees and economic incentives to ensure optimal performance and security.
System Architecture
Layer 1: Verification Layer
The foundation of trust in CIRO Network. Uses advanced zero-knowledge proof systems to verify computational integrity.
- • STARK-based proof generation for scalability
- • Recursive proof composition for complex computations
- • Hardware-accelerated verification
- • Fraud proof mechanisms for dispute resolution
Layer 2: Compute Layer
Distributed network of compute providers offering specialized AI hardware and software capabilities.
- • GPU clusters for parallel training
- • Specialized AI accelerators (TPUs, FPGAs)
- • Edge computing nodes for low-latency inference
- • Secure enclaves for confidential computing
Layer 3: Protocol Layer
Smart contract infrastructure managing job orchestration, resource allocation, and network coordination.
- • Job scheduling and load balancing
- • Resource discovery and matching
- • Payment and settlement systems
- • Reputation and slashing mechanisms
Layer 4: Economic Layer
Token-based incentive system aligning participant interests and ensuring sustainable network growth.
- • Dynamic pricing based on supply and demand
- • Staking requirements for compute providers
- • Reward distribution mechanisms
- • Governance token for protocol decisions
Key Technical Innovations
Recursive Zero-Knowledge Proofs
Novel application of recursive STARKs to verify arbitrarily complex AI computations while maintaining constant verification time.
Homomorphic Encryption Integration
Seamless integration with FHE schemes enabling computation on encrypted data without performance degradation.
Adaptive Resource Allocation
ML-powered system that predicts compute demand and preemptively allocates resources for optimal performance.
Compute Types & Capabilities
CIRO Network supports a diverse range of compute workloads, from high-performance GPU clusters to specialized AI accelerators, and edge computing nodes for low-latency applications.
GPU Clusters
High-performance GPU clusters for AI training and inference, optimized for parallel processing and memory bandwidth.
- • NVIDIA A100, V100, P4000
- • 100+ GPUs per cluster
- • 100+ TFlops/s of FP32 performance
- • 100+ GB/s of memory bandwidth
Specialized AI Accelerators
Custom hardware accelerators (TPUs, FPGAs) for specific AI workloads, offering unparalleled performance and efficiency.
- • Google TPU v4, v5
- • Xilinx VU9P, Alveo U250
- • 100+ TFlops/s of FP32 performance
- • 100+ GB/s of memory bandwidth
Edge Computing
Edge nodes for low-latency, high-bandwidth applications, enabling real-time AI processing and data analysis.
- • NVIDIA Jetson, Intel NUC
- • 100+ TFlops/s of FP32 performance
- • 100+ GB/s of memory bandwidth
- • Secure enclaves for confidential computing
Hybrid Architectures
Combination of cloud and edge resources for optimal performance and cost efficiency.
- • GPU clusters + Edge nodes for latency-sensitive tasks
- • TPUs + GPU clusters for high-throughput AI training
- • Custom ASICs for specific AI applications
Capabilities
AI Training
Large-scale neural network training, including image classification, object detection, and language models.
AI Inference
Real-time, low-latency AI model inference for applications like speech recognition, object tracking, and fraud detection.
Data Processing
High-speed data ingestion, transformation, and analysis for real-time monitoring and decision-making.
Edge Intelligence
AI models deployed directly on edge devices for autonomous decision-making and local processing.
Job Types & Workloads
CIRO Network supports the full spectrum of compute-intensive workloads that benefit from verifiable execution, ranging from AI training and creative rendering to zero-knowledge proof generation and scientific simulations. Our platform democratizes access to high-performance computing across all industries.
AI & Machine Learning
Neural network training, inference, and model optimization across all AI domains.
- • Large language model training (100B+ params)
- • Computer vision (object detection, segmentation)
- • Real-time inference and deployment
- • Federated learning across networks
Creative & Rendering
High-performance creative computing for digital artists, filmmakers, and content creators.
- • 3D rendering and animation (Blender, Maya)
- • Video processing and encoding (4K/8K)
- • Procedural content generation
- • Real-time ray tracing and VFX
Cryptographic Computing
Zero-knowledge proof generation, blockchain validation, and advanced cryptographic operations.
- • STARK/SNARK proof generation
- • Blockchain consensus and validation
- • Homomorphic encryption operations
- • Multi-party computation (MPC)
Scientific Computing
High-performance computing for research, simulation, and complex mathematical modeling.
- • Molecular dynamics simulations
- • Climate and weather modeling
- • Financial risk analysis and modeling
- • Computational fluid dynamics (CFD)
Workload Characteristics
Computational Intensity
High-throughput workloads: 10-1000+ TFlops/s depending on task complexity
Memory Requirements
From 8GB (rendering) to 1TB+ (large-scale training/simulation)
Latency Sensitivity
Real-time (10ms), Interactive (100ms), Batch (hours/days)
Verification Complexity
ZK proofs (high), Rendering (medium), AI inference (variable)
Creative & Artistic Computing
CIRO Network revolutionizes creative computing by providing verifiable, cost-effective access to high-performance rendering and content creation resources. Artists, filmmakers, and creators can now access enterprise-grade infrastructure without the traditional barriers.
3D Rendering & Animation
Distributed rendering for animation studios, architects, and 3D artists using industry-standard tools.
- • Blender Cycles & EEVEE rendering
- • Autodesk Maya & 3ds Max support
- • Cinema 4D and Houdini workflows
- • Real-time ray tracing with RTX/RDNA
- • Distributed frame rendering (1000+ nodes)
Video Processing & Encoding
High-throughput video processing, encoding, and post-production workflows for content creators.
- • 4K/8K video encoding (H.264, H.265, AV1)
- • Real-time video effects and compositing
- • Adobe After Effects & Premiere workflows
- • DaVinci Resolve color grading
- • Live streaming transcoding
Game Development & Assets
Procedural content generation, asset optimization, and game engine computations.
- • Unreal Engine lightmap baking
- • Unity batch processing
- • Procedural terrain generation
- • Texture synthesis and optimization
- • Physics simulation pre-computation
Digital Art & NFTs
AI-powered art generation, style transfer, and large-scale digital art creation.
- • Stable Diffusion & DALL-E workflows
- • Style transfer algorithms
- • Large-scale NFT collection generation
- • Generative art algorithms
- • Image upscaling and enhancement
Cost Comparison: CIRO vs Traditional Render Farms
CIRO Network
- • $0.10-2.00/hour per GPU
- • Pay-per-use pricing
- • No setup fees
- • Verifiable output quality
- • Global resource pool
Traditional Render Farms
- • $2.00-15.00/hour per GPU
- • Minimum commitment fees
- • Setup and management costs
- • Trust-based quality
- • Limited geographic options
Savings Potential
- • 70-90% cost reduction
- • No vendor lock-in
- • Instant scalability
- • Cryptographic guarantees
- • Censorship resistance
Verifiable Creative Workflow
ZK Proof Generation
Zero-knowledge proof generation is one of the most compute-intensive operations in modern cryptography. CIRO Network provides specialized infrastructure for efficient, verifiable ZK proof generation at scale, enabling privacy-preserving applications across blockchain and enterprise systems.
STARK Proof Generation
Scalable Transparent Arguments of Knowledge for large-scale verifiable computation.
- • Cairo program execution proofs
- • StarkNet transaction batching
- • Recursive proof composition
- • Custom circuit optimization
- • Parallel witness generation
SNARK Systems
Succinct Non-Interactive Arguments of Knowledge for efficient privacy-preserving protocols.
- • Groth16 & PLONK proof systems
- • zk-SNARKs for privacy coins
- • Circom circuit compilation
- • Trusted setup ceremonies
- • Universal setup systems (PLONK)
Specialized Applications
Domain-specific ZK proof generation for various blockchain and enterprise use cases.
- • Privacy-preserving DeFi protocols
- • Blockchain rollup verification
- • Identity verification systems
- • Supply chain provenance
- • Confidential voting systems
Performance Optimization
Advanced optimization techniques for reducing proof generation time and computational costs.
- • Hardware acceleration (GPU/FPGA)
- • Parallel circuit evaluation
- • Memory optimization strategies
- • Batch proof generation
- • Circuit-specific optimizations
ZK Proof Complexity Analysis
Prover Complexity
Verification Efficiency
ZK Proof Generation Pipeline
Scientific Computing
CIRO Network provides researchers, scientists, and institutions with access to high-performance computing resources for complex simulations, modeling, and analysis. Our verifiable compute ensures reproducible scientific results while dramatically reducing costs.
Molecular Dynamics
Large-scale molecular simulations for drug discovery, materials science, and biochemical research.
- • GROMACS & AMBER simulations
- • Protein folding studies
- • Drug-target interaction modeling
- • Materials property prediction
- • Membrane dynamics simulation
Climate & Weather Modeling
High-resolution climate simulations and weather prediction models for environmental research.
- • Global circulation models (GCMs)
- • Weather forecasting systems
- • Climate change projections
- • Atmospheric chemistry modeling
- • Oceanographic simulations
Computational Fluid Dynamics
Advanced fluid flow simulations for aerospace, automotive, and engineering applications.
- • OpenFOAM & ANSYS Fluent workflows
- • Turbulence modeling (LES/DNS)
- • Aerodynamic optimization
- • Heat transfer analysis
- • Multi-phase flow simulation
Financial Modeling
Quantitative finance, risk analysis, and algorithmic trading model development and backtesting.
- • Monte Carlo risk simulations
- • Portfolio optimization algorithms
- • High-frequency trading backtests
- • Credit risk modeling
- • Derivative pricing models
Research Impact & Benefits
Reproducible Science
Cryptographic verification ensures computational results are reproducible and verifiable by peers
Cost Democratization
90%+ cost reduction enables smaller institutions to access supercomputing resources
Global Collaboration
Decentralized infrastructure enables seamless international research collaboration
Accelerated Discovery
Massive parallel processing enables larger, more complex simulations than ever before
Open Science
Transparent, verifiable computations support open science and peer review processes
Environmental Impact
Efficient resource utilization reduces energy consumption compared to dedicated clusters
Performance Scaling Example
Molecular Dynamics Simulation Scaling
Traditional HPC Cluster
- • 100M atom system: 72 hours on 512 cores
- • Cost: $15,000-25,000 per simulation
- • Queue wait times: 2-14 days
- • Limited to institutional access
CIRO Network
- • Same system: 8 hours on 4096 cores
- • Cost: $800-1,500 per simulation
- • Instant resource availability
- • Global access, any researcher
Job Matching & Transportation
CIRO Network's decentralized job market and transportation layer ensure efficient resource utilization and optimal routing of compute tasks across the network.
Decentralized Job Market
A global marketplace where clients can post AI tasks and workers can bid for them.
- • Task posting and bidding
- • Real-time price discovery
- • Smart routing to optimal providers
- • Transparent task history and reputation
Resource Transportation
Secure and efficient transportation of data and compute resources across the network.
- • Inter-chain data transfer
- • Cross-region compute resource sharing
- • Secure enclave transport
- • Decentralized storage for data
Resource Orchestration
Intelligent algorithms for optimal resource allocation and task distribution.
- • ML-powered demand forecasting
- • Dynamic routing based on capacity
- • Efficient task bundling
- • Resource pooling across the network
Network Effects
The more compute resources and tasks available, the more valuable the network becomes.
- • Increased network throughput
- • Lower latency for all users
- • More diverse and robust AI ecosystem
- • Stronger security through redundancy
Intelligent Job Matching Algorithm
Matching Algorithm Details
Scoring Function
Optimization Constraints
Key Benefits
Optimal Resource Allocation
Multi-criteria optimization ensures jobs are matched to the most suitable resources
Dynamic Adaptation
Algorithm adapts to real-time network conditions and resource availability
Fraud Prevention
Reputation-based filtering and cryptographic verification prevent malicious behavior
Cost Efficiency
Price optimization and competition drive down costs for end users
Encryption & Security Model
CIRO Network employs a robust encryption and security model to protect sensitive data and computational integrity.
End-to-End Encryption
All data and computations are encrypted in transit and at rest.
- • Zero-knowledge proofs ensure data integrity
- • Homomorphic encryption for secure computation
- • Secure enclave for confidential computing
- • Encrypted communication channels
Access Control
Fine-grained access control and permission management.
- • Role-based access control (RBAC)
- • Multi-factor authentication
- • Secure key management
- • Transparent audit logs
Consensus and Fault Tolerance
Byzantine Fault Tolerance (BFT) and Proof of Stake (PoS) for robust consensus.
- • 2/3+ honest participation for liveness
- • 1/3+ Byzantine nodes for safety
- • Economic incentives for node participation
- • Byzantine fault tolerance
Reputation System
Decentralized reputation and slashing mechanisms for malicious behavior.
- • Historical performance tracking
- • Fraud detection and dispute resolution
- • Slashing for malicious behavior
- • Reputation-based incentives
Security Guarantees
Computational Integrity
Zero-knowledge proofs ensure that the output of a computation is correct and cannot be tampered with.
Privacy
All data and models remain private by default, even from the compute provider.
Robust Consensus
Byzantine Fault Tolerance ensures network availability and consistency even under adversarial conditions.
Economic Incentives
Economic penalties for malicious behavior and rewards for honest participation.
Scalability Architecture
CIRO Network's architecture is designed to scale horizontally across a global network of nodes, enabling unprecedented throughput and resource availability.
Multi-Region Deployment
Nodes are deployed across multiple regions to minimize latency and provide redundancy.
- • 10+ regions globally
- • 100+ data centers
- • Low-latency edge nodes
- • Redundant infrastructure
Resource Pooling
Compute resources are pooled across the network, allowing for efficient utilization and cost savings.
- • GPU clusters, TPUs, CPU farms
- • Cross-region resource sharing
- • Dynamic allocation based on demand
- • Cost optimization for users
Decentralized Storage
Data and models are stored across a decentralized network of nodes, ensuring availability and durability.
- • IPFS, Swarm, Filecoin
- • Encrypted data transfer
- • Distributed hash tables
- • Fault tolerance
Network Topology
Small-world network properties minimize latency while maintaining robustness.
- • Short average path length
- • High clustering coefficient
- • Robust connectivity
- • Efficient routing
Scalability Benefits
Unlimited Scaling
Horizontal scaling to handle any workload, no theoretical limits.
Low Latency
Optimal routing and resource allocation minimize latency.
Cost Efficiency
Efficient resource utilization and cost optimization.
Resilience
Redundant infrastructure and decentralized storage ensure availability.
Multichain Integration
CIRO Network is designed to be interoperable across multiple blockchain networks, enabling seamless integration with existing ecosystems and protocols.
Cross-Chain Data
Data and computational results can be transferred across different blockchain networks.
- • Inter-chain data transfer
- • Decentralized storage
- • Cross-chain computation
- • Interoperable AI models
Interoperable AI
AI models and data can be trained and deployed across different blockchain networks.
- • Federated learning across chains
- • Cross-chain AI model marketplace
- • Interoperable AI pipelines
- • Decentralized AI research
Cross-Chain Payments
CIRO Token can be used for payments across different blockchain networks.
- • Decentralized cross-chain payments
- • Cross-chain staking
- • Cross-chain governance
- • Interoperable economic incentives
Interoperable Infrastructure
CIRO Network's infrastructure (compute, storage, network) can be accessed from any blockchain.
- • Multi-chain API gateway
- • Cross-chain worker nodes
- • Interoperable storage solutions
- • Multi-chain job market
Integration Benefits
Ecosystem Expansion
CIRO Network can be integrated into any blockchain, expanding its reach.
Cross-Chain AI
AI models and data can be trained and deployed across different networks.
Decentralized AI
AI research and development can be decentralized across multiple networks.
Interoperable Economy
CIRO Token and economic incentives can be used across different networks.
Orderbook & Liquidity
CIRO Network's decentralized orderbook and liquidity layer provides a robust foundation for the AI compute market.
Decentralized Orderbook
A global, permissionless orderbook for AI tasks and compute resources.
- • Real-time task posting and bidding
- • Smart routing to optimal providers
- • Transparent task history
- • Decentralized dispute resolution
Liquidity Pooling
CIRO Token liquidity is pooled across the network, providing stable and liquid markets.
- • Decentralized liquidity pools
- • Stable price discovery
- • Cross-chain liquidity
- • Decentralized price oracles
Market Efficiency
Efficient resource allocation and price discovery through decentralized markets.
- • Real-time price updates
- • Optimal routing
- • Efficient task matching
- • Decentralized governance
Network Effects
The more liquidity and tasks available, the more valuable the network becomes.
- • Increased market depth
- • Lower latency for all users
- • More diverse and robust AI ecosystem
- • Stronger security through redundancy
Benefits
Efficiency
Efficient resource allocation and price discovery.
Scalability
Horizontal scaling to handle any workload.
Security
Secure, encrypted communication and data storage.
Resilience
Redundant infrastructure and decentralized storage ensure availability.
Advanced Burn Mechanics
CIRO Network implements sophisticated burn mechanisms with mathematical precision to ensure long-term sustainability and value accrual. Our production-ready smart contracts execute these burns automatically through governance-controlled parameters, creating deflationary pressure while maintaining network security.
🧮 Mathematical Framework
Dynamic Supply Evolution
S(t+1) = S(t) × (1 + r_inf(t)) - B(t)Where r_inf(t) is adaptive inflation rate based on network security requirements
Adaptive Inflation Rate
r_inf(t) = max(r_min, SecurityBudget_USD / (S(t) × P(t)))Inflation adjusts to maintain $2M minimum security budget
Revenue Burn Function
B_revenue(t) = min(R(t) × burn_rate, max_burn_per_period)70% of network revenue automatically burned with safety caps
Buyback Burn Mechanism
B_buyback(t) = Treasury_ETH(t) / P_CIRO(t)Treasury ETH converted to CIRO and permanently burned
⚙️ Implementation Details
Weekly Dutch Auctions
Minimize market impact through time-distributed burn execution via professional market makers
70% Revenue Pipeline
Automatic STRK/USD → CIRO → burn pipeline ensures consistent deflationary pressure
Protocol-Owned Liquidity
$4M POL target provides 8-week burn buffer with 1% maximum slippage protection
Circuit Breakers
Dynamic auction throttling if >60% daily volatility (no trading halts - just slower burns)
Governance Controls
Maximum ±15% burn rate changes per 30-day epoch with emergency override capabilities
🎯 Burn Source Priority
All scheduled burns draw EXCLUSIVELY from Foundation/Treasury pool (180M tokens). This protects circulating supply while maintaining deflationary pressure.
🔗 Production-Ready Implementation
Burn Manager Contract
0x070d665978b7275e5f4cea991d9508bc32b592f6244d1303a22f5c22bdc89ea5- • Revenue Burns: Automated execution
- • Buyback Execution: Market-optimized
- • Market Impact Minimization: Built-in protection
- • Deflationary Mechanics: Governance-controlled
CIRO Token Contract
0x03c0f7574905d7cbc2cca18d6c090265fa35b572d8e9dc62efeb5339908720d8- • Minting/Burning: Smart contract controlled
- • Governance Integration: Vote-weighted decisions
- • Dynamic Supply: Mathematical precision
- • ERC-20 Compatible: Standard compliance
Burn Mechanism Flow
Long-term Economic Effects
Deflationary Pressure
Systematic token burning creates scarcity and value accrual for long-term holders
Security Funding
Burn mechanisms ensure network security is always adequately funded
Market Stability
Dynamic burn rates provide automatic price stabilization during market volatility
Ecosystem Growth
Revenue-linked burns align token value with network utility and adoption
Mathematical Foundations
CIRO Network's security and functionality rest on rigorous mathematical foundations. Our cryptographic protocols leverage cutting-edge research in zero-knowledge proofs, elliptic curve cryptography, and information theory to provide provable security guarantees.
Core Cryptographic Primitives
Zero-Knowledge Proof System
CIRO utilizes STARK (Scalable Transparent Arguments of Knowledge) proofs for computational verification:
Completeness
If statement is true, honest prover convinces verifier with probability 1
Soundness
If statement is false, no prover can convince verifier except with negligible probability
Zero-Knowledge
Verifier learns nothing about the witness beyond its existence
Economic Game Theory
Nash Equilibrium Analysis
CIRO's economic model achieves Nash equilibrium through carefully designed incentive structures:
Equilibrium Conditions
- • Workers optimize effort to maximize expected rewards minus costs
- • Clients select providers based on price-performance-security tradeoffs
- • Network self-regulates through reputation and slashing mechanisms
- • Token economics ensure long-term sustainability and growth
Consensus and Security
Byzantine Fault Tolerance
CIRO achieves consensus even with up to f Byzantine nodes out of n total nodes:
Physical Principles
CIRO Network's design principles are inspired by fundamental laws of physics and thermodynamics, creating a system that naturally tends toward efficiency, stability, and optimal resource utilization.
Thermodynamic Efficiency
Like heat engines approaching Carnot efficiency, CIRO optimizes the conversion of computational energy into useful work.
Information Conservation
Following Landauer's principle, CIRO minimizes irreversible computations to reduce energy dissipation.
Network Topology
Small-world network properties minimize latency while maintaining robustness, similar to neural networks.
Fault Tolerance
Self-healing properties emerge from redundancy and error correction, like biological immune systems.
Emergent Properties
Like phase transitions in condensed matter physics, CIRO Network exhibits emergent behaviors that arise from simple local interactions between network participants.
Self-Organization
Compute resources automatically cluster around demand centers without central coordination
Scale Invariance
Network performance characteristics remain consistent across different scales
Critical Dynamics
System operates near critical points for optimal information processing
Tokenomics v4.1
CIRO Tokenomics v4.1 implements a research-based hybrid architecture designed for sustainable 50x-200x returns through governance-controlled supply management, revenue-token linkage, and advanced burn mechanics. Our production-ready smart contracts are live on Starknet Sepolia testnet, ready for mainnet deployment.
🚀 Live Smart Contracts
Successfully deployed on Starknet Sepolia Testnet - Ready for mainnet launch
CIRO Token
✅ DEPLOYEDContract Address:
0x03c0f7574905d7cbc2cca18d6c090265fa35b572d8e9dc62efeb5339908720d8Features:
CDC Pool
✅ DEPLOYEDContract Address:
0x05f73c551dbfda890090c8ee89858992dfeea9794a63ad83e6b1706e9836aebaFeatures:
Job Manager
✅ DEPLOYEDContract Address:
0x00bf025663b8a7c7e43393f082b10afe66bd9ddb06fb5e521e3adbcf693094bdFeatures:
Governance Treasury
✅ DEPLOYEDContract Address:
0x00b8d816d8a909d7320c442b22d378d87bd41b3008b46b1cce56fc94d0e4a4beFeatures:
Linear Vesting
✅ DEPLOYEDContract Address:
0x00a8c57c46ba8ed81e2e1f4e421e26d5b8a1e3bb0b59f66b1d3a3b2b3d65e9daFeatures:
Burn Manager
✅ DEPLOYEDContract Address:
0x070d665978b7275e5f4cea991d9508bc32b592f6244d1303a22f5c22bdc89ea5Features:
⚡ Mainnet Ready: All contracts successfully tested and deployed. Comprehensive integration testing completed. Ready for production launch.
Token Supply & Distribution
🪙 Supply Mechanics
📊 Token Allocation
Smart Contract Control: All future minting controlled by governance-approved smart contracts with mathematical precision and security guarantees.
Fundraising Structure
| Round | Tokens | Price | Raise | FDV | Vesting |
|---|---|---|---|---|---|
Seed1x | 50M | $0.01 | $500K | $10M | 6-mo cliff → 18-mo linear |
Private5x | 75M | $0.05 | $3.75M | $50M | 12-mo cliff → 24-mo linear |
Strategic2x | 50M | $0.10 | $5M | $100M | 3-mo cliff → 12-mo linear |
Public2x | 50M | $0.20 | $10M | $200M | 25% TGE, 6-mo linear |
Total Funds Raised: $19.25M
Smooth progression curve (1x → 5x → 2x → 2x) provides manageable steps for investors while maintaining sustainable growth trajectory.
Key Metrics
🔥 Advanced Burn Mechanics
🧮 Mathematical Framework
Dynamic Supply Evolution
S(t+1) = S(t) × (1 + r_inf(t)) - B(t)Where r_inf(t) is adaptive inflation rate based on network security requirements
Revenue Burn Function
B_revenue(t) = min(R(t) × burn_rate, max_burn_per_period)Percentage of network revenue automatically burned with safety caps
Buyback Burn Mechanism
B_buyback(t) = Treasury_ETH(t) / P_CIRO(t)Treasury ETH converted to CIRO and permanently burned
⚙️ Implementation Details
Weekly Dutch Auctions
Minimize market impact through time-distributed burn execution via professional market makers
70% Revenue Pipeline
Automatic STRK/USD → CIRO → burn pipeline ensures consistent deflationary pressure
Protocol-Owned Liquidity
$4M POL target provides 8-week burn buffer with 1% maximum slippage protection
Circuit Breakers
Dynamic auction throttling if >60% daily volatility (no trading halts - just slower burns)
🎯 Burn Source Priority
All scheduled burns draw EXCLUSIVELY from Foundation/Treasury pool (180M tokens). This protects circulating supply while maintaining deflationary pressure.
Token Flow Architecture
📈 Return Projections & Benchmarks
Conservative
Based on Render Network's proven performance trajectory
Aggressive
Market leadership in verifiable AI compute sector
Moonshot
Dominant infrastructure for global AI economy
📊 Competitive Benchmarks
Render Network (RNDR)
59x - 247x
Proven DePIN performance
Akash Network (AKT)
12x - 85x
Decentralized compute
CIRO Target
50x - 200x
Verifiable AI compute
🗳️ Governance Framework
Emergency Multisig Council
- • Staker-Elected Seats: 3/7
- • External Guardians: 3/7
- • Core Team Rep: 1/7
- • Emergency powers only (Level-3+ incidents)
Proposal Thresholds
- • Treasury allocation: 67% threshold
- • Protocol upgrades: 75% threshold
- • Parameter changes: 60% threshold
- • Emergency actions: 90% threshold
Voting Power Structure
- • Base: 1 CIRO = 1 vote
- • Long-term holders: 1.5x multiplier
- • Active participants: 2x multiplier
- • Delegation supported
Competitive Analysis
CIRO Network operates in the rapidly evolving decentralized compute landscape. Our unique approach to verifiable AI compute creates distinct competitive advantages in trust, scalability, and cost efficiency.
| Feature | CIRO Network | Traditional Cloud | Other DePIN |
|---|---|---|---|
| Verifiability | ✓ ZK Proofs | ✗ Trust-based | ~ Reputation only |
| Privacy | ✓ Full encryption | ~ Enterprise only | ✗ Limited |
| Cost | ✓ Market-driven | ✗ High margins | ✓ Competitive |
| Scalability | ✓ Unlimited | ~ Limited regions | ~ Growing |
| Censorship Resistance | ✓ Fully decentralized | ✗ Centralized control | ~ Partially |
CIRO vs AWS: Detailed Technical Comparison
Compute Infrastructure
CIRO Network
- • Global P2P network of compute nodes
- • Zero-knowledge verified execution
- • Homomorphic encryption support
- • Market-driven pricing ($0.10-2.00/hr)
- • No vendor lock-in
AWS EC2/Lambda
- • Centralized data centers (26 regions)
- • Trust-based execution model
- • Limited encryption options
- • Fixed pricing ($0.40-24.00/hr)
- • High switching costs
Security & Privacy
CIRO Network
- • Cryptographic proof of execution
- • Zero-knowledge privacy guarantees
- • Decentralized consensus (BFT)
- • No single point of failure
- • Censorship resistant
AWS
- • Trust-based security model
- • Data visible to AWS
- • Centralized control points
- • Government access requirements
- • Potential for censorship
AI/ML Capabilities
CIRO Network
- • Verifiable AI training/inference
- • Privacy-preserving ML
- • Cross-chain AI models
- • Decentralized model marketplace
- • Federated learning protocols
AWS SageMaker
- • Managed ML platform
- • Data exposure to AWS
- • Vendor-specific tools
- • Centralized model registry
- • Limited privacy options
Economic Model Comparison
CIRO Network Economics
- • Market-driven pricing
- • No markup from intermediaries
- • Token rewards for providers
- • Deflationary token mechanics
AWS Economics
- • Fixed tier pricing
- • High profit margins (30-40%)
- • No direct provider rewards
- • Inflationary cost structure
Unique Value Propositions
- First mover in verifiable AI: No competitor offers cryptographic compute verification
- Privacy by design: Zero-knowledge architecture protects all data and models
- Economic sustainability: Self-regulating tokenomics with deflationary mechanisms
- Global accessibility: Permissionless participation from any geography
Market Positioning
Enterprise AI
60-80% cost reduction vs AWS while providing superior security
Research Institutions
Provide compute without data disclosure requirements
AI Startups
Democratize access to enterprise-grade AI infrastructure
DeFi Protocols
Enable on-chain AI with verifiable computation
Roadmap
Foundation Phase
Establish core infrastructure and launch testnet
- • ZK proof system implementation
- • Basic worker node software
- • Testnet launch with 100+ nodes
- • Community building and documentation
Network Launch
Mainnet deployment and token distribution
- • Mainnet launch with governance
- • CIRO token distribution
- • Initial AI model marketplace
- • Enterprise partnerships
Scale Phase
Horizontal scaling and advanced features
- • Multi-region deployment
- • Advanced ML model support
- • Cross-chain integrations
- • Developer tools and SDKs
Ecosystem Phase
Full ecosystem maturity and next-gen features
- • Autonomous AI agents
- • Research collaboration platform
- • Advanced privacy features
- • Global regulatory compliance
References
Cryptographic Foundations
- 1. Ben-Sasson, E. et al. (2018). "STARKs: Scalable Transparent Arguments of Knowledge"
- 2. Goldwasser, S. & Micali, S. (1989). "Probabilistic Encryption"
- 3. Groth, J. (2016). "On the Size of Pairing-based Non-interactive Arguments"
- 4. Bünz, B. et al. (2020). "Transparent SNARKs from DARK Compilers"
Economic Theory
- 5. Roughgarden, T. (2020). "Transaction Fee Mechanism Design"
- 6. Catalini, C. & Gans, J. (2020). "Some Simple Economics of Stablecoins"
- 7. Buterin, V. (2017). "The Triangle of Harm in Mechanism Design"
- 8. Narayanan, A. et al. (2016). "Bitcoin and Cryptocurrency Technologies"
Distributed Systems
- 9. Castro, M. & Liskov, B. (1999). "Practical Byzantine Fault Tolerance"
- 10. Lamport, L. (1998). "The Part-Time Parliament (Paxos)"
- 11. Ongaro, D. & Ousterhout, J. (2014). "In Search of an Understandable Consensus Algorithm"
- 12. Guerraoui, R. & Schiper, A. (2001). "The Generic Consensus Service"
AI & Machine Learning
- 13. Goodfellow, I. et al. (2016). "Deep Learning"
- 14. Vaswani, A. et al. (2017). "Attention Is All You Need"
- 15. McMahan, B. et al. (2017). "Communication-Efficient Learning"
- 16. Li, T. et al. (2020). "Federated Learning: Challenges and Applications"