Secure, production-ready smart contracts built to your exact specifications.
We architect and deploy custom smart contracts for tokens, DeFi protocols, DAOs, and NFTs. Our code is built on Solidity 0.8+ with OpenZeppelin standards, ensuring security and gas efficiency from day one.
From concept to mainnet in as little as 2-4 weeks.
Our development process delivers:
EVM-compatible chains like Ethereum, Polygon, and Arbitrum.We architect and deploy the foundational smart contracts and infrastructure that enable secure, auditable, and efficient transfers of AI model weights on-chain. Our implementations are production-ready, battle-tested, and designed for enterprise-grade applications.
Immutable, timestamped registration of model weights as verifiable digital assets using ERC-1155 or custom standards, enabling provenance tracking and non-fungible representation of AI intellectual property.
Custom smart contracts for atomic swaps, multi-signature releases, and time-locked escrow of model weights, ensuring transfers are trust-minimized and funds are secure until delivery is verified.
Implementation of zero-knowledge proofs (ZK-SNARKs/STARKs) or commit-reveal schemes to cryptographically verify model integrity and correctness of inference outputs without exposing the underlying weights.
Granular, on-chain permissioning for model usage, including subscription models, one-time licenses, and revenue-sharing mechanisms, directly enforced by the protocol's smart contracts.
Bridge and messaging layer development (using Axelar, LayerZero, or Wormhole) to facilitate secure model weight transfers and licensing across Ethereum, Polygon, Arbitrum, and other EVM-compatible networks.
Deployment of contracts using Solidity 0.8+ with patterns like Diamond Proxy (EIP-2535) for upgradeability and significant gas cost reduction for end-users, verified by leading security auditors.
Our Secure Model Weight Transfer Protocol is engineered to deliver measurable business impact. We translate cryptographic security into tangible advantages for your AI and blockchain initiatives.
Deploy a verifiable, on-chain marketplace for your proprietary AI models. Our protocol ensures creators are compensated for every inference, preventing unauthorized use and enabling new revenue streams.
Leverage our battle-tested, audited protocol framework. We provide the foundational smart contracts and infrastructure, allowing your team to focus on application logic and user experience.
Enforce strict access control and immutable usage logs for AI assets. Our protocol provides an auditable trail for regulatory compliance (GDPR, AI Act) and protects against intellectual property theft.
Build decentralized AI networks where participants can collaboratively train models without exposing raw data. Our protocol verifies contributions and ensures fair reward distribution via smart contracts.
Built with modularity and upgradability in mind. Our protocol supports multiple blockchain networks (EVM, Solana) and is designed to integrate with emerging AI/ML frameworks and hardware (e.g., ZKML).
Eliminate the need to build and maintain custom security infrastructure for model distribution. We handle the cryptographic complexity, key management, and on-chain verification logic.
A detailed comparison of our secure, on-chain model weight transfer protocol against traditional off-chain and centralized alternatives, highlighting key advantages for AI/ML platform development.
| Feature / Factor | Conventional Methods (S3, FTP, API) | Custom On-Chain Protocol |
|---|---|---|
Data Provenance & Immutability | ||
Tamper-Proof Audit Trail | ||
Native Access Control & Permissions | Manual / IAM | Programmable via Smart Contracts |
Settlement Finality | Eventual Consistency | Cryptographically Guaranteed (<2 sec) |
Developer Integration Complexity | Medium (SDK/API) | High (Requires Web3 Expertise) |
Time to Implement Secure System | 1-3 months | 4-8 weeks with Chainscore |
Ongoing Infrastructure Cost | $500-$5K/month (cloud) | Gas Fees + Protocol Maintenance |
Security Audit Overhead | Your responsibility | Included (Formal Verification) |
Composability with DeFi/Web3 | ||
Resistance to Censorship / Deplatforming |
A structured, security-first approach to implementing the Secure Model Weight Transfer Protocol, designed for rapid deployment and seamless integration into your existing AI/ML pipeline.
We begin with a comprehensive security assessment of your AI model pipeline, identifying attack vectors and designing a zero-trust architecture for weight transfer. This includes defining on-chain/off-chain boundaries and cryptographic primitives.
Development of custom, audited smart contracts for verifiable weight commitments, access control, and incentive mechanisms. Built with Solidity 0.8+ and OpenZeppelin libraries, optimized for gas efficiency and security.
Implementation of the off-chain cryptographic prover (e.g., zk-SNARKs, MPC) and on-chain verifier contracts. We ensure efficient proof generation and sub-second verification to maintain your model's inference performance.
Delivery of a production-ready SDK and REST/GraphQL APIs for your data scientists and engineers. Enables seamless commit(), prove(), and verify() operations from your existing Python/TensorFlow/PyTorch environment.
Rigorous third-party smart contract and infrastructure auditing by firms like Trail of Bits or Quantstamp. Followed by internal penetration testing of the full integration stack before mainnet deployment.
Managed deployment to your target chain (Ethereum, Polygon, Arbitrum) with comprehensive monitoring, alerting, and incident response playbooks. We provide 24/7 SLA-backed support for the protocol layer.
Secure, production-ready smart contracts built for scale and compliance.
We architect and deploy audited smart contracts that power your core business logic. Our development process ensures gas optimization, security-first design, and compliance with standards like ERC-20, ERC-721, and ERC-1155.
Deliver a secure, audited MVP in as little as 2 weeks.
Answers to the most common technical and commercial questions about implementing our secure, verifiable on-chain ML model transfer protocol.
A standard implementation for a single model type (e.g., a transformer) with our protocol takes 2-3 weeks. This includes integration with your training pipeline, on-chain verifier deployment, and end-to-end testing. Complex multi-model systems or custom verification logic can extend this to 4-6 weeks. We provide a detailed project plan with weekly milestones upon engagement.
Our experts will offer a free quote and a 30min call to discuss your project.