Project Concept and Features

Datai Network addresses the limitations of traditional centralized cloud GPU rental services, offering a decentralized solution. By aggregating globally distributed GPU resources, the platform provides scalable, cost-efficient, and reliable infrastructure for AI training, inference, and big data analytics.

Key Features

• Decentralized GPU Marketplace: Users can rent unused computing power and earn $DATAI tokens.

• AI-Focused: Optimized for AI and machine learning workloads.

• Community Governance: Prioritizes decisions through a Decentralized Autonomous Organization (DAO).

• Efficient Resource Use: Idle hardware contributes to economic and environmental efficiency.

• Enhanced Security and Privacy: Decentralized architecture ensures data and workload protection.

Partners

• ChainGPT

• Shima Capital

• r3

• Blizzard (Avalanche Ecosystem Fund)

• Big Brain Holdings

• Outlier Ventures

• SIX Fintech Ventures

• GSR

How It Works

Datai Network operates on a node-based architecture:

• Indexer Node: Indexes developer-created projections, processing on-chain activities into usable data.

• Gateway Node: Routes user requests to relevant indexers and delivers data.

• Projections: Code bundles that calculate user positions, reward balances, and pool data for specific protocols.

• Subgraph: Indexes events to identify active users in each protocol.

• Watcher: Periodically analyzes subgraph data to compute current positions.

These components deliver enriched, reliable, and AI-ready on-chain insights.

Team and Founders

• Elie Azzi: Co-founder & CEO, blockchain engineer since 2016, creator of Merlin, DeFi analytics expert.

• Maria Mounayar: Co-founder & COO, Amazon/AWS experience, operations and marketing background, Web3 transition through Merlin.

• Igor Lessio: CTO, extensive experience in software, logistics, and AI.

• Carmen: Product Manager, skilled in bridging traditional technology and Web3 products.

Roadmap

Q4 2025

• Token Generation Event (TGE)

• Expansion to non-EVM chains like Solana and Sui

• Launch of Web3 data solution for AI/ML training

• Execution Layer partnership for agent independence

• Developer integration acceleration via Ambassador Program

Q1 2026

• Transition from centralized to fully decentralized network

• Scale revenue via business development efforts

• Continue expanding data coverage with developer incentives

• Extend Chain Insights Solution across more chains

Governance

Datai Network will implement DAO governance with $DATAI token holders:

• Mechanism: Stake tokens to submit proposals and vote.

• Decisions: Protocol upgrades, fee structures, reward distribution, treasury usage, and feature integrations.

Token Information ($DATAI)

• Total Supply: 1 billion DATAI

• Max Supply: 1 billion DATAI

• Circulating Supply (self-reported): 41.22 million DATAI

Token Utility

• Data Consumers: Pay for network data queries and enjoy discounted fees.

• Network Stakeholders: Indexers, developers, and data aggregators earn $DATAI and stake tokens as collateral for honest behavior.

• In-House Applications: 10% buyback from platform revenue; token used to meet current customer demand.

• External Applications: Stake $DATAI to join the network and pay for data access.

DATAI Token Allocation

• Seed Round: 29%

• Treasury Reserve: 14.2%

• Team & Advisors: 15%

• Liquidity: 10%

• Ecosystem Grants: 8%

• Validator Rewards: 8%

• Early Backers: 8%

• Staking Rewards: 4%

• Public Round: 2.4%

• KOL Round: 2.4%

• Marketing: 8%

Ecosystem

Datai Network ecosystem consists of:

• AI/ML Developers: Users renting computing power for AI workloads.

• GPU Providers/Miners: Individuals or institutions monetizing idle hardware.

• DAO Community: $DATAI holders participating in governance and network decisions.

Features

• Decentralized, community-driven data and computing network

• Projection system for easy integration with multiple protocols

• Optimized on-chain analytics via Subgraph and Watcher modules

• AI-powered DeFi research through Crunchie

• Transforms raw data into AI-ready insights

• Scalable node architecture for high accuracy and security

Official Links

• Website
• Twitter
• Telegram

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The post What is Datai Network (DATAI) ? appeared first on Coin Engineer.

By offering developers unlimited GPU access, io.net aims to reduce costs for AI/ML projects and optimize resource utilization. 

Team and Founders

io.net was founded by an experienced team: 

• Tory Green – CEO & Co-Founder (Stanford graduate, Tiller Partners & HUM Capital) 
• Ahmad Shadid – Co-Founder (WhalesTrader & Arabfolio, Ethereum Foundation volunteer) 
• Basem Oubah – Co-Founder & Chief of Staff (Yıldız Technical University graduate) 
• Matej Tomazin – Co-Founder 
• Gaurav Sharma – CTO (Binance, Agoda, Amazon, eBay experience) 
• Garrison Yang – CMO (Ava Labs, gaming & tech consultancy) 
• Smiral Rashinkar – VP of Engineering (ML engineer at Koo & Rivi) 

The team has deep expertise in AI, blockchain engineering, and enterprise infrastructure. 

Funding and Investors

io.net raised $30M in a Series A round led by Hack VC. Notable participants include: 

• Lead Investors: Hack VC, Multicoin Capital, 6th Man Ventures (6MV) 
• Other Participants: Solana Ventures, OKX Ventures, Aptos Labs, Delphi Digital, The Sandbox, Otoy, Protagonist, LongHash Ventures, Amber Group, Animoca Brands, ArkStream Capital, Continue Capital, Foresight Ventures, SevenX Ventures, Springs Capital, Web3 Ventures, WAGMI Ventures, Moonhill Capital, PBG Capital 

Project Concept 

• Decentralized GPU Network: io.net aggregates idle GPUs from independent data centers, crypto miners, and other blockchain projects (Render, Filecoin), creating a massive decentralized computing network. 
• Affordable Computing Power: The network provides AI/ML developers with cost-efficient GPU access, reducing costs by up to 70% compared to traditional cloud providers like AWS. 
• DePIN Model: As a Decentralized Physical Infrastructure Network, GPU owners rent their hardware in exchange for $IO tokens, while developers pay with tokens to access resources. 
• Developer-Friendly Tools: io.net offers open-source models, SDKs, and tools for parallel training, model tuning, and distributed workload management. 
• Efficient Resource Use: The network optimizes GPU clusters on-demand, balancing workloads to reduce costs and maintain high performance. 

How io.net Works 

• IO Worker: Independent nodes providing GPU resources, tracking usage and earnings 
• IO Cloud: Allows users to create GPU clusters on-demand and manage workloads 
• IO Intelligence: Open-source models and tools for AI developers 
• IO Explorer: Shows GPU/CPU assets, pricing, and block rewards 
• IO ID: Manages users’ earnings, wallet connections, and identity verification 

The Proof of Time-Lock mechanism ensures rented GPUs are not used for other tasks during the rental period. 

Architecture Layers 

• UI Layer: User interface for developers and providers 
• Security Layer: Firewalls, authentication, logging 
• API Layer: Connects external systems with internal operations 
• Backend Layer: Cluster management, workload tracking, billing 
• Database Layer: Structured data and caching 
• Message Broker/Task Layer: Workflow management 
• Infrastructure Layer: Distribution and management of GPU/CPU resources 

AI/ML Applications 

• Training: Parallel GPU use for model training, data and model parallelism 
• Tuning: Efficient hyperparameter search on distributed systems 
• IO-SDK: Easy parallel computing via Ray.io fork 

Governance 

$IO Token: Used for governance, staking, and rewards 

Staking: Tokens can be staked for network security 

Voting: Community votes on protocol upgrades and parameter changes 

Roadmap 

• Phase 1: GPU cluster deployment and infrastructure setup 
• Phase 2: Integration of IO Intelligence platform 
• Phase 3: Development of comprehensive AI/ML tools 
• Detailed roadmap includes BC8 V2.0, Search & Deploy, and platform updates 

Token Info 

• Name: $IO 
• Total Supply: 800,000,000 
• Use Cases: Payments, staking, rewards, governance 
• Blockchain: Solana 
• Circulating Supply: 204.4M IO 

Token Distribution 

• Community: 50% 
• R&D Ecosystem: 16% 
• Core Contributors: 11.3% 
• Early Supporters (Series A): 10.2% 
• Early Supporters (Seed): 12.5% 

Ecosystem & Partnerships 

• Render: Provides GPU resources, early supplier incentives (300,000 RENDER reward) 
• Filecoin: Storage services 
• Aethir: GPU resources 

Key Features 

• Low cost: Up to 50% savings vs traditional cloud 
• High performance: Low-latency GPU clusters 
• Flexible: On-demand GPU cluster creation 
• Developer tools: Open-source models and resources 

Official Links 

• Website
• Telegram
• Twitter

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