Legacy AI to Blockchain Migration

We conduct a comprehensive audit of your existing AI models, data pipelines, and business logic to design a modular, gas-efficient blockchain architecture. This phase defines the smart contract interfaces and data oracles required for on-chain execution.

Our engineers build and test the core smart contracts that encapsulate your AI logic. We implement using Solidity 0.8+ with OpenZeppelin standards, focusing on security, upgradability, and gas optimization for predictable operational costs.

We implement secure, decentralized oracles (Chainlink, Pyth) to feed off-chain AI inferences and data on-chain. For hybrid models, we build custom bridges to maintain sync between your legacy backend and the new blockchain layer.

We manage the mainnet deployment, configure multi-sig wallets for treasury management, and set up real-time monitoring with Chainscore's analytics dashboard for transaction health, gas spend, and model performance metrics.

Deploy AI models with on-chain provenance and tamper-proof execution logs. Clients gain auditable intelligence for compliance, reduces model drift disputes, and builds user trust in AI outputs.

Ensure your AI services remain globally accessible and operational. Our decentralized node networks eliminate single points of failure, protecting revenue streams and user access from regional or platform-level takedowns.

Monetize proprietary datasets and AI models through secure tokenization. We implement ERC-7641 for AI assets, enabling new revenue models like inference staking, data royalties, and fractional ownership.

Replace costly cloud API dependencies with optimized, decentralized compute. Our architecture leverages proof-of-stake networks and specialized co-processors (e.g., EigenLayer AVS) to cut inference costs by 40-60%.

Process sensitive data with zero-knowledge proofs (ZKPs) and fully homomorphic encryption (FHE). Clients can offer private AI services for healthcare and finance without exposing raw data, meeting GDPR/CCPA requirements.

Leverage our pre-audited smart contract templates and modular oracle stacks for AI. We deliver production-ready decentralized AI backends in < 6 weeks, accelerating your launch and competitive edge.

We conduct a deep technical audit of your existing AI models and data pipelines to design a secure, cost-effective blockchain architecture. This phase defines the target state, tokenomics (if applicable), and smart contract blueprint.

Our engineers build and rigorously test the core on-chain logic. This includes custom smart contracts for model inference, data access control, and payment settlements, integrated with Chainlink or Pyth oracles for reliable off-chain data feeds.

We seamlessly connect your new blockchain layer with your existing front-end and back-end systems. A full staging environment is deployed on a testnet (e.g., Sepolia, Amoy) for comprehensive user acceptance testing and security validation.

Managed deployment to Ethereum mainnet or your chosen L2 (Arbitrum, Base, Optimism). We provide post-launch monitoring, performance optimization, and smart contract upgrade management for 30 days to ensure a smooth production rollout.