GitHub Repository: https://github.com/marsv123/Zenkai/
Live Website: https://zenkai-dapp.onrender.com/
Akindo Community Page: https://app.akindo.io/communities/o64z2qLARfMzaxdA/products/jaZkAnQQ3ulvA7X83
Zenkai is a decentralized, end-to-end marketplace for data and intelligence.
For Data Providers Upload datasets to 0G Storage with optional zero-knowledge privacy. Retain full ownership and earn recurring revenue as your data powers AI models. Every contribution is transparently tracked and monetized on-chain.
For AI Builders Discover curated, high-quality datasets. Run inference jobs live on 0G Compute without costly GPUs. Train models (simulation today, full training soon). Tokenize your models as Intelligence NFTs (INFTs)—dynamic, tradeable assets with royalties and verifiable metadata.
Composability at Its Core Datasets can power multiple models. Models can be linked into pipelines. Every asset becomes a composable building block with built-in ownership, reputation, and monetization.
With each dataset uploaded, model trained, or INFT minted, Zenkai compounds value. The ecosystem grows stronger, faster, and more rewarding — a virtuous cycle of decentralized innovation.
AI today is bottlenecked by closed data silos and centralized Big Tech platforms.
Data providers rarely earn fair rewards.
AI builders face high costs and steep barriers to training and monetization.
Enterprises waste millions refurbishing legacy data lakes just to make fragmented datasets usable, only to then pay even more for workloads on vendor-locked GPUs.
Zenkai replaces this broken model with a trustless, open marketplace for data and intelligence:
Cost Efficiency → Reduce data prep and compute costs by 60–70% vs AWS or OpenAI.
True Ownership → Every dataset and model is an on-chain asset with recurring income and reputation tracking.
Accessibility → Anyone, regardless of technical background, can upload, train, and monetize AI models through a simple, modular toolset.
No Vendor Lock-In → Datasets and models are reusable, composable, and powered by 0G’s decentralized infrastructure.
Instead of sinking millions into closed ecosystems, users can simply upload, train, and tokenize — creating new value streams at a fraction of the cost.
Smart Contracts (0G Galileo Testnet, Chain ID: 16601)
ZAI Token (ERC-20) — Utility and payments 0x23C9593BBaC9207c9E360cbF7A64E0808374B43E
DatasetRegistry — On-chain dataset marketplace 0x521E29d7F8dfC78c017B1E93c8DB5f3ff808425d
ZenkaiINFT (ERC-721) — INFTs with royalties, dynamic metadata, ZK flags 0x97d84c9fc99E58F3261CA9bd91455b4138740039
Backend
Node.js + Express API
PostgreSQL + Drizzle ORM
Authentication via wallet signatures
Storage integration: 0G Storage + IPFS fallback
Frontend
Next.js (App Router) + TypeScript
wagmi v2 + RainbowKit (wallet integration)
Tailwind + shadcn/ui (cyberpunk glass morphism)
0G Integrations
0G Storage → Decentralized, ZK-enabled dataset storage
0G Compute → Decentralized inference (live) + training simulation
0G Chain → Ownership, reputation, and monetization
Data Availability → Transparent, reusable datasets and models
Upload datasets with privacy and ownership guarantees
Run decentralized inference with 0G Compute
Simulate training and generate artifacts for tokenization
Mint Intelligence NFTs (INFTs) with royalties and dynamic metadata
Explore datasets and INFTs in the marketplace
Track revenue, reputation, and ownership in the dashboard
Connect wallet (0G Galileo Testnet, Chain ID: 16601)
Upload dataset (0G Storage, optional ZK toggle)
Run inference (Train → Inference tab)
Simulate training (Train → Training tab) → get model URI
Mint INFT (Tokenize page) → confirm Token ID
Verify asset appears in Marketplace and Dashboard
Explorer: https://chainscan-galileo.0g.ai
MIT License
PatentPending: concepts and designs under protection