Decentralized Model Marketplaces
Create a trustless ecosystem for AI model sharing, where developers can monetize their models and users can access a wide range of AI capabilities.
AI Infrastructure
Building the backbone for decentralized AI computation and secure model deployment in the Web3 ecosystem.
what we deliver
- 01Decentralized AI training and inference networks
- 02Blockchain-based model versioning and governance
- 03Privacy-preserving federated learning systems
- 04Scalable and efficient distributed computing for AI workloads
- 05Secure enclaves for confidential AI computations
Where it gets used
Privacy-Preserving AI
Enable AI computations on sensitive data without compromising user privacy, ideal for healthcare and financial applications.
Edge AI Deployment
Efficiently deploy and update AI models across a network of edge devices, ensuring low-latency and offline capabilities.
Distributed AI Research
Facilitate collaborative AI research by providing a decentralized infrastructure for sharing datasets, models, and compute resources.
under the hood
Core Technologies
- —Ethereum-compatible smart contracts for model governance
- —IPFS (InterPlanetary File System) for distributed storage
- —Libp2p for peer-to-peer networking and discovery
- —Trusted Execution Environments (TEEs) for secure computations
Advanced Techniques
- —Distributed ledger for immutable record-keeping of model provenance
- —Decentralized compute marketplace for matching AI tasks with resources
- —Federated learning protocols for collaborative model training
- —Homomorphic encryption for computations on encrypted data
Performance Optimizations
- —Sharding techniques for improved scalability of blockchain operations
- —Layer 2 solutions for faster and cheaper transactions
- —Optimistic rollups for bundling multiple operations
- —Efficient consensus mechanisms for reduced energy consumption
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